메뉴 건너뛰기




Volumn 98, Issue 11, 2010, Pages 1847-1864

Gossip algorithms for distributed signal processing

Author keywords

Consensus protocols; distributed algorithms; distributed processing; gossip protocols; graph theory; information networks distributed averaging; network topology; peer to peer computing; protocols; random topologies; topology design; wireless sensor networks

Indexed keywords

COMPUTATION THEORY; GRAPH THEORY; INFORMATION SERVICES; NETWORK PROTOCOLS; PARALLEL ALGORITHMS; PEER TO PEER NETWORKS; QUANTIZATION (SIGNAL); SIGNAL PROCESSING; WIRELESS SENSOR NETWORKS;

EID: 77958154089     PISSN: 00189219     EISSN: None     Source Type: Journal    
DOI: 10.1109/JPROC.2010.2052531     Document Type: Conference Paper
Times cited : (846)

References (129)
  • 2
    • 3042514350 scopus 로고    scopus 로고
    • Collaborative signal and information processing: An information-directed approach
    • Aug.
    • F. Zhao, J. Liu, J. Liu, L. Guibas, and J. Reich, Collaborative signal and information processing: An information-directed approach,[ Proc. IEEE, vol. 91, no. 8, pp. 1199-1209, Aug. 2003.
    • (2003) Proc. IEEE , vol.91 , Issue.8 , pp. 1199-1209
    • Zhao, F.1    Liu, J.2    Liu, J.3    Guibas, L.4    Reich, J.5
  • 3
    • 3543065166 scopus 로고    scopus 로고
    • Distributed control applications within sensor networks
    • Aug.
    • B. Sinopoli, C. Sharp, L. Schenato, S. Schaffert, and S. Sastry, Distributed control applications within sensor networks,[ Proc. IEEE, vol. 91, no. 8, pp. 1235-1246, Aug. 2003.
    • (2003) Proc. IEEE , vol.91 , Issue.8 , pp. 1235-1246
    • Sinopoli, B.1    Sharp, C.2    Schenato, L.3    Schaffert, S.4    Sastry, S.5
  • 4
    • 2942686425 scopus 로고    scopus 로고
    • Sensor networks: Evolution opportunities, and challenges
    • Aug.
    • C. Chong and S. Kumar, Sensor networks: Evolution, opportunities, and challenges,[ Proc. IEEE, vol. 91, no. 8, pp. 1247-1256, Aug. 2003.
    • (2003) Proc. IEEE , vol.91 , Issue.8 , pp. 1247-1256
    • Chong, C.1    Kumar, S.2
  • 5
    • 4844228284 scopus 로고    scopus 로고
    • Distributed target classification and tracking in sensor networks
    • DOI 10.1109/JPROC.2003.814923, Sensor Networks and Applications
    • R. Brooks, P. Ramanathan, and A. Sayeed, Distributed target classification and tracking in sensor networks,[ Proc. IEEE, vol. 91, no. 8, pp. 1163-1171, Aug. 2003. (Pubitemid 40890827)
    • (2003) Proceedings of the IEEE , vol.91 , Issue.8 , pp. 1163-1171
    • Brooks, R.R.1    Ramanathan, P.2    Sayeed, A.M.3
  • 6
    • 0345851235 scopus 로고    scopus 로고
    • Wireless integrated network sensors
    • G. Pottie and W. Kaiser, Wireless integrated network sensors,[ Commun. ACM, vol. 43, no. 5, pp. 51-58, 2000.
    • (2000) Commun. ACM , vol.43 , Issue.5 , pp. 51-58
    • Pottie, G.1    Kaiser, W.2
  • 8
    • 8344239614 scopus 로고    scopus 로고
    • Energy-latency tradeoffs for data gathering in wireless sensor networks
    • Hong Kong Mar DOI: 10.1109/INFCOM.2004.1354498
    • Y. Yu, B. Krishnamachari, and V. Prasanna, Energy-latency tradeoffs for data gathering in wireless sensor networks,[ in Proc. IEEE Infocom, Hong Kong, Mar. 2004, DOI: 10.1109/INFCOM.2004.1354498.
    • (2004) Proc. IEEE Infocom
    • Yu, Y.1    Krishnamachari, B.2    Prasanna, V.3
  • 10
    • 33947126427 scopus 로고    scopus 로고
    • Energy based sensor network source localization via projection onto convex sets (POCS)
    • Sep.
    • D. Blatt and A. Hero, Energy based sensor network source localization via projection onto convex sets (POCS),[ IEEE Trans. Signal Process., vol. 54, no. 9, pp. 3614-3619, Sep. 2006.
    • (2006) IEEE Trans. Signal Process. , vol.54 , Issue.9 , pp. 3614-3619
    • Blatt, D.1    Hero, A.2
  • 12
    • 34247335080 scopus 로고    scopus 로고
    • Energy-efficient data representation and routing for wireless sensor networks based on a distributed wavelet compression algorithm
    • Nashville, TN Apr.
    • A. Ciancio, S. Pattem, A. Ortega, andB. Krishnamachari, Energy-efficient data representation and routing for wireless sensor networks based on a distributed wavelet compression algorithm,[ in Proc. IEEE/ACM Symp. Inf. Process. Sensor Netw., Nashville, TN, Apr. 2006, pp. 309-316.
    • (2006) Proc. IEEE/ACM Symp. Inf. Process. Sensor Netw. , pp. 309-316
    • Ciancio, A.1    Pattem, S.2    Ortega, A.3    Krishnamachari, B.4
  • 15
    • 0344118858 scopus 로고    scopus 로고
    • BGossip-based computation of aggregate information Cambridge, MA Oct.
    • D. Kempe, A. Dobra, and J. Gehrke, Gossip-based computation of aggregate information,[ in Proc. Found. Comput. Sci., Cambridge, MA, Oct. 2003, pp. 482-491.
    • (2003) Proc. Found. Comput. Sci. , pp. 482-491
    • Kempe, D.1    Dobra, A.2    Gehrke, J.3
  • 16
    • 85019620107 scopus 로고    scopus 로고
    • Trickle: A self-regulating algorithm for code propagation and maintenance in wireless sensor networks
    • P. Levis, N. Patel, D. Culler, and S. Shenker, Trickle: A self-regulating algorithm for code propagation and maintenance in wireless sensor networks,[ in Proc. USENIX/ACM Symp. Netw. Syst. Design Implement., 2004, vol. 1, p. 2.
    • (2004) Proc. USENIX/ACM Symp. Netw. Syst. Design Implement. , vol.1 , pp. 2
    • Levis, P.1    Patel, N.2    Culler, D.3    Shenker, S.4
  • 17
    • 0011264117 scopus 로고
    • Ph.D. dissertation, Dept. Electr. Eng. Comput. Sci.,Massachusetts Inst. Technol., Cambridge, MA, Nov.
    • J. Tsitsiklis, Problems in decentralized decision making and computation,[ Ph.D. dissertation, Dept. Electr. Eng. Comput. Sci.,Massachusetts Inst. Technol., Cambridge, MA, Nov. 1984.
    • (1984) BProblems in Decentralized Decision Making and Computation
    • Tsitsiklis, J.1
  • 18
    • 0022783899 scopus 로고
    • Distributed asynchronous deterministic and stochastic gradient optimization algorithms
    • Sep.
    • J. Tsitsiklis, D. Bertsekas, and M. Athans, Distributed asynchronous deterministic and stochastic gradient optimization algorithms,[ IEEE Trans. Autom. Control, vol. AC-31, no. 9, pp. 803-812, Sep. 1986.
    • (1986) IEEE Trans. Autom. Control , vol.AC-31 , Issue.9 , pp. 803-812
    • Tsitsiklis, J.1    Bertsekas, D.2    Athans, M.3
  • 19
    • 0024748907 scopus 로고
    • Dynamic load balancing for distributed memory multiprocessors
    • G. V. Cybenko, Dynamic load balancing for distributed memory multiprocessors,[ J. Parallel Distrib. Comput., vol. 7, pp. 279-301, 1989.
    • (1989) J. Parallel Distrib. Comput. , vol.7 , pp. 279-301
    • Cybenko, G.V.1
  • 20
    • 0038548185 scopus 로고    scopus 로고
    • Coordination of groups of mobile autonomous agents using nearest neighbor rules
    • Jun.
    • A. Jadbabaie, J. Lin, and A. S. Morse, Coordination of groups of mobile autonomous agents using nearest neighbor rules,[ IEEE Trans. Autom. Control, vol. 48, no. 6, pp. 988-1001, Jun. 2003.
    • (2003) IEEE Trans. Autom. Control , vol.48 , Issue.6 , pp. 988-1001
    • Jadbabaie, A.1    Lin, J.2    Morse, A.S.3
  • 21
    • 4644244041 scopus 로고    scopus 로고
    • Consensus problems in networks of agents with switching topology and time-delays
    • Sep.
    • R. Olfati-Saber and R. M. Murray, Consensus problems in networks of agents with switching topology and time-delays,[ IEEE Trans. Autom. Control, vol. 49, no. 9, pp. 1520-1533, Sep. 2004.
    • (2004) IEEE Trans. Autom. Control , vol.49 , Issue.9 , pp. 1520-1533
    • Olfati-Saber, R.1    Murray, R.M.2
  • 22
    • 4644317383 scopus 로고    scopus 로고
    • Information flow and cooperative control of vehicle formations
    • Sep.
    • J. A. Fax and R. M. Murray, Information flow and cooperative control of vehicle formations,[ IEEE Trans. Autom. Control, vol. 49, no. 9, pp. 1465-1476, Sep. 2004.
    • (2004) IEEE Trans. Autom. Control , vol.49 , Issue.9 , pp. 1465-1476
    • Fax, J.A.1    Murray, R.M.2
  • 23
    • 39649124259 scopus 로고    scopus 로고
    • Reliable distributed estimation with intermittent communications
    • 4177839, Proceedings of the 45th IEEE Conference on Decision and Control 2006, CDC
    • V. Saligrama and D. Castanon, Reliable distributed estimation with intermittent communications,[ in Proc. 45th IEEE Conf. Decision Control, San Diego, CA, Dec. 2006, pp. 6763-6768. (Pubitemid 351284110)
    • (2006) Proceedings of the IEEE Conference on Decision and Control , pp. 6763-6768
    • Saligrama, V.1    Castanon, D.A.2
  • 24
    • 44849127203 scopus 로고    scopus 로고
    • Topology for distributed inference on graphs
    • Jun.
    • S. Kar, S. A. Aldosari, and J. M. F. Moura, Topology for distributed inference on graphs,[ IEEE Trans. Signal Process., vol. 56, no. 6, pp. 2609-2613, Jun. 2008.
    • (2008) IEEE Trans. Signal Process. , vol.56 , Issue.6 , pp. 2609-2613
    • Kar, S.1    Aldosari, S.A.2    Moura, J.M.F.3
  • 26
    • 1542289981 scopus 로고    scopus 로고
    • Fast linear iterations for distributed averaging
    • Dec.
    • L. Xiao and S. Boyd, Fast linear iterations for distributed averaging,[ in Proc. IEEEConf. Decision Control, Dec. 2003, vol. 5, pp. 4997-5002.
    • (2003) Proc. IEEEConf. Decision Control , vol.5 , pp. 4997-5002
    • Xiao, L.1    Boyd, S.2
  • 28
    • 64149119332 scopus 로고    scopus 로고
    • Consensus and cooperation in networked multi-agent systems
    • Jan.
    • R. Olfati-Saber, J. Fax, and R. Murray, Consensus and cooperation in networked multi-agent systems,[ Proc. IEEE, vol. 95, no. 1, pp. 215-233, Jan. 2007.
    • (2007) Proc. IEEE , vol.95 , Issue.1 , pp. 215-233
    • Olfati-Saber, R.1    Fax, J.2    Murray, R.3
  • 29
    • 34147163355 scopus 로고    scopus 로고
    • Information consensus in multivehicle cooperative control
    • DOI 10.1109/MCS.2007.338264
    • W. Ren, R. Beard, and E. Atkins, Information consensus in multivehicle cooperative control,[ IEEE Control Syst. Mag., vol. 27, no. 2, pp. 71-82, Apr. 2007. (Pubitemid 46562979)
    • (2007) IEEE Control Systems Magazine , vol.27 , Issue.2 , pp. 71-82
    • Ren, W.1    Beard, R.W.2    Atkins, E.M.3
  • 31
    • 43349085369 scopus 로고    scopus 로고
    • Randomized consensus algorithms over large scale networks
    • May
    • F. Fagnani and S. Zampieri, Randomized consensus algorithms over large scale networks,[ IEEE J. Sel. Areas Commun., vol. 26, no. 4, pp. 634-649, May 2008.
    • (2008) IEEE J. Sel. Areas Commun. , vol.26 , Issue.4 , pp. 634-649
    • Fagnani, F.1    Zampieri, S.2
  • 32
    • 84971804758 scopus 로고
    • Improved bounds for mixingrates of Markov chains and multicommodity flow
    • A. Sinclair, Improved bounds for mixingrates of Markov chains and multicommodity flow,[ Combinat. Probab. Comput., vol. 1, pp. 351-370, 1992.
    • (1992) Combinat. Probab. Comput. , vol.1 , pp. 351-370
    • Sinclair, A.1
  • 33
    • 11344275321 scopus 로고    scopus 로고
    • Fastest mixing Markov chain on a graph
    • DOI 10.1137/S0036144503423264
    • S. Boyd, P. Diaconis, and L. Xiao, Fastest mixing Markov chain on a graph,[ SIAM Rev., vol. 46, pp. 667-689, 2003. (Pubitemid 40072140)
    • (2004) SIAM Review , vol.46 , Issue.4 , pp. 667-689
    • Boyd, S.1    Diaconis, P.2    Xiao, L.3
  • 34
    • 0032258480 scopus 로고    scopus 로고
    • Critical power for asymptotic connectivity in wireless networks
    • Boston MA
    • P. Gupta and P. R. Kumar, Critical power for asymptotic connectivity in wireless networks,[ in Proc. Stochastic Anal. Control Optim. Appl., Boston, MA, 1998, pp. 1106-1110.
    • (1998) Proc. Stochastic Anal. Control Optim. Appl. , pp. 1106-1110
    • Gupta, P.1    Kumar, P.R.2
  • 36
    • 64549093860 scopus 로고    scopus 로고
    • Location-aidedfast distributed consensus
    • W. Li and H. Dai, Location-aidedfast distributed consensus,[ IEEE Trans. Inf. Theory, 2008.
    • (2008) IEEE Trans. Inf. Theory
    • Li, W.1    Dai, H.2
  • 37
    • 0034346693 scopus 로고    scopus 로고
    • Analysis of a nonreversible Markov chain sampler
    • P. Diaconis, S. Holmes, and R. Neal, Analysis of a nonreversible Markov chain sampler,[ Ann. Appl. Probab., pp. 726-752, 2000.
    • (2000) Ann. Appl. Probab. , pp. 726-752
    • Diaconis, P.1    Holmes, S.2    Neal, R.3
  • 40
    • 68349163178 scopus 로고    scopus 로고
    • Minimizing the rate of convergence for iterative algorithms
    • K. Jung, D. Shah, and J. Shin, Minimizing the rate of convergence for iterative algorithms,[ IEEE Trans. Inf. Theory, 2009.
    • (2009) IEEE Trans. Inf. Theory
    • Jung, K.1    Shah, D.2    Shin, J.3
  • 41
    • 46749116895 scopus 로고    scopus 로고
    • Fast distributed algorithms for computing separable functions
    • Jul.
    • D. Mosk-Aoyama and D. Shah, Fast distributed algorithms for computing separable functions," IEEE Trans. Inf. Theory, vol. 54, no. 7, pp. 2997-3007, Jul. 2008.
    • (2008) IEEE Trans. Inf. Theory , vol.54 , Issue.7 , pp. 2997-3007
    • Mosk-Aoyama, D.1    Shah, D.2
  • 42
    • 0020828424 scopus 로고
    • Probabilistic counting algorithms for data base applications
    • P. Flajolet and G. Martin, Probabilistic counting algorithms for data base applications,[ J. Comput. Syst. Sci., vol. 31, no. 2, pp. 182-209, 1985.
    • (1985) J. Comput. Syst. Sci. , vol.31 , Issue.2 , pp. 182-209
    • Flajolet, P.1    Martin, G.2
  • 44
    • 58649101118 scopus 로고    scopus 로고
    • Polynomial filtering for fast convergence in distributed consensus
    • Jan.
    • E. Kokiopoulou and P. Frossard, Polynomial filtering for fast convergence in distributed consensus,[ IEEE Trans. Signal Process., vol. 57, no. 1, pp. 342-354, Jan. 2009.
    • (2009) IEEE Trans. Signal Process. , vol.57 , Issue.1 , pp. 342-354
    • Kokiopoulou, E.1    Frossard, P.2
  • 45
    • 79961019666 scopus 로고    scopus 로고
    • Faster linear iterations for distributed averaging
    • Seoul, South Korea Jul.
    • B. Johansson and M. Johansson, Faster linear iterations for distributed averaging,[ in Proc. IFAC World Congr., Seoul, South Korea, Jul. 2008.
    • (2008) Proc. IFAC World Congr.
    • Johansson, B.1    Johansson, M.2
  • 46
    • 77951150356 scopus 로고    scopus 로고
    • Optimization and analysis of distributed averaging with short node memory
    • May
    • B. Oreshkin, M. Coates, and M. Rabbat, Optimization and analysis of distributed averaging with short node memory,[ IEEE Trans. Signal Process., vol. 58, no. 5, pp. 2850-2865, May 2010.
    • (2010) IEEE Trans. Signal Process. , vol.58 , Issue.5 , pp. 2850-2865
    • Oreshkin, B.1    Coates, M.2    Rabbat, M.3
  • 48
    • 33746093929 scopus 로고    scopus 로고
    • Efficient in-network processing through local ad-hoc information coalescence
    • Germany: Springer-Verlag
    • O. Savas, M. Alanyali, and V. Saligrama, Efficient in-network processing through local ad-hoc information coalescence," Distributed Computing in Sensor Systems, Berlin, Germany: Springer-Verlag, 2006, pp. 252-265.
    • (2006) Distributed Computing in Sensor Systems Berlin , pp. 252-265
    • Savas, O.1    Alanyali, M.2    Saligrama, V.3
  • 51
    • 61349088730 scopus 로고    scopus 로고
    • Cluster-based distributed consensus
    • Jan.
    • W. Li and H. Dai, Cluster-based distributed consensus,[ IEEE Trans. Wireless Commun., vol. 8, no. 1, pp. 28-31, Jan. 2009.
    • (2009) IEEE Trans. Wireless Commun. , vol.8 , Issue.1 , pp. 28-31
    • Li, W.1    Dai, H.2
  • 52
    • 0032202963 scopus 로고    scopus 로고
    • Rate-distortion methods for image and video compression
    • Nov.
    • A. Ortega and K. Ramchandran, Rate-distortion methods for image and video compression,[ IEEE Signal Process. Mag., vol. 15, no. 6, pp. 23-50, Nov. 1998.
    • (1998) IEEE Signal Process. Mag. , vol.15 , Issue.6 , pp. 23-50
    • Ortega, A.1    Ramchandran, K.2
  • 53
    • 0025208769 scopus 로고
    • Average and randomized communication complexity
    • Jan.
    • A. Orlitsky and A. El Gamal, Average and randomized communication complexity,[ IEEE Trans. Inf. Theory, vol. 36, no. 1, pp. 3-16, Jan. 1990.
    • (1990) IEEE Trans. Inf. Theory , vol.36 , Issue.1 , pp. 3-16
    • Orlitsky, A.1    El Gamal, A.2
  • 54
    • 35148814319 scopus 로고    scopus 로고
    • Computation over multiple-access channels
    • Oct.
    • B. Nazer and M. Gastpar, Computation over multiple-access channels,[ IEEE Trans. Inf. Theory, vol. 53, no. 10, pp. 3498-3516, Oct. 2007.
    • (2007) IEEE Trans. Inf. Theory , vol.53 , Issue.10 , pp. 3498-3516
    • Nazer, B.1    Gastpar, M.2
  • 56
    • 46649105270 scopus 로고    scopus 로고
    • Sensor networks with random links: Topology design for distributed consensus
    • Jul.
    • S. Kar and J. M. F. Moura, Sensor networks with random links: Topology design for distributed consensus,[ IEEE Trans. Signal Process., vol. 56, no. 7, pp. 3315-3326, Jul. 2008.
    • (2008) IEEE Trans. Signal Process. , vol.56 , Issue.7 , pp. 3315-3326
    • Kar, S.1    Moura, J.M.F.2
  • 59
    • 64549156916 scopus 로고    scopus 로고
    • Distributed consensus with link failures as a structured stochastic uncertainty problem
    • Monticello IL Sep.
    • S. Patterson and B. Bamieh, Distributed consensus with link failures as a structured stochastic uncertainty problem,[ in Proc. 46th Allerton Conf. Commun. Control Comput., Monticello, IL, Sep. 2008, pp. 623-627.
    • (2008) Proc. 46th Allerton Conf. Commun. Control Comput. , pp. 623-627
    • Patterson, S.1    Bamieh, B.2
  • 60
    • 33746130355 scopus 로고    scopus 로고
    • Synchronization and convergence of linear dynamics in random directed networks
    • Jul.
    • C. Wu, Synchronization and convergence of linear dynamics in random directed networks,[ IEEE Trans. Autom. Control, vol. 51, no. 7, pp. 1207-1210, Jul. 2006.
    • (2006) IEEE Trans. Autom. Control , vol.51 , Issue.7 , pp. 1207-1210
    • Wu, C.1
  • 61
    • 46449100636 scopus 로고    scopus 로고
    • Stochastic consensus over weighted directed networks
    • Jul. 11-13
    • M. Porfiri and D. Stilwell, Stochastic consensus over weighted directed networks,[ in Proc. Amer. Control Conf., New York, Jul. 11-13, 2007, pp. 1425-1430.
    • (2007) Proc. Amer. Control Conf. New York , pp. 1425-1430
    • Porfiri, M.1    Stilwell, D.2
  • 62
    • 77953779700 scopus 로고    scopus 로고
    • Weight optimization for consensus algorithms with correlated switching topology
    • Jul.
    • D. Jakovetic, J. Xavier, and J. M. F. Moura, Weight optimization for consensus algorithms with correlated switching topology,[ IEEE Trans. Signal Process., vol. 58, no. 7, pp. 3788-3801, Jul. 2009.
    • (2009) IEEE Trans. Signal Process. , vol.58 , Issue.7 , pp. 3788-3801
    • Jakovetic, D.1    Xavier, J.2    Moura, J.M.F.3
  • 64
    • 58649106429 scopus 로고    scopus 로고
    • Distributed consensus algorithms in sensor networks with imperfect communication: Link failures and channel noise
    • Jan.
    • S. Kar and J. M. F. Moura, Distributed consensus algorithms in sensor networks with imperfect communication: Link failures and channel noise,[ IEEE Trans. Signal Process., vol. 57, no. 1, pp. 355-369, Jan. 2009.
    • (2009) IEEE Trans. Signal Process. , vol.57 , Issue.1 , pp. 355-369
    • Kar, S.1    Moura, J.M.F.2
  • 65
    • 77950834661 scopus 로고    scopus 로고
    • Constrained consensus and optimization in multi-agent networks
    • Apr.
    • A. Nedic, A. Ozdaglar, and P. Parrilo, Constrained consensus and optimization in multi-agent networks,[ IEEE Trans. Autom. Control, vol. 55, no. 4, pp. 922-938, Apr. 2009.
    • (2009) IEEE Trans. Autom. Control , vol.55 , Issue.4 , pp. 922-938
    • Nedic, A.1    Ozdaglar, A.2    Parrilo, P.3
  • 66
    • 34249005184 scopus 로고    scopus 로고
    • Quantized consensus
    • A. Kashyap, T. Basar, and R. Srikant, Quantized consensus,[ Automatica, vol. 43, no. 7, pp. 1192-1203, 2007.
    • (2007) Automatica , vol.43 , Issue.7 , pp. 1192-1203
    • Kashyap, A.1    Basar, T.2    Srikant, R.3
  • 68
    • 0032317822 scopus 로고    scopus 로고
    • Local divergence of Markov chains and the analysis of iterative load-balancing schemes
    • Y. Rabani, A. Sinclair, and R. Wanka, Local divergence of Markov chains and the analysis of iterative load-balancing schemes,[ in Proc. 39th IEEE Symp. Found. Computer Sci., 1998, pp. 694-703.
    • (1998) Proc. 39th IEEE Symp. Found. Computer Sci. , pp. 694-703
    • Rabani, Y.1    Sinclair, A.2    Wanka, R.3
  • 70
    • 0030381932 scopus 로고    scopus 로고
    • Dynamic load balancing by random matchings
    • B. Ghosh and S. Muthukrishnan, Dynamic load balancing by random matchings,[ J. Comput. Syst. Sci., vol. 53, no. 3, pp. 357-370, 1996.
    • (1996) J. Comput. Syst. Sci. , vol.53 , Issue.3 , pp. 357-370
    • Ghosh, B.1    Muthukrishnan, S.2
  • 71
    • 70449650514 scopus 로고    scopus 로고
    • On quantized consensus by means of gossip algorithmVPart I: Convergence proof
    • Jun.
    • J. Lavaei and R. Murray, On quantized consensus by means of gossip algorithmVPart I: Convergence proof,[ in Proc. Amer. Control Conf., Jun. 2009, pp. 394-401.
    • (2009) Proc. Amer. Control Conf. , pp. 394-401
    • Lavaei, J.1    Murray, R.2
  • 72
    • 70449633225 scopus 로고    scopus 로고
    • On quantized consensus by means of gossip algorithm v Part II: Convergence time
    • Jun.
    • J. Lavaei and R. Murray, On quantized consensus by means of gossip algorithmVPart II: Convergence time,[ in Proc. Amer. Control Conf., Jun. 2009, pp. 2958-2965.
    • (2009) Proc. Amer. Control Conf. , pp. 2958-2965
    • Lavaei, J.1    Murray, R.2
  • 74
    • 80052335250 scopus 로고    scopus 로고
    • Distributed consensus algorithms in sensor networks: Quantized data and random link failures
    • Mar.
    • S. Kar and J. M. F. Moura, Distributed consensus algorithms in sensor networks: Quantized data and random link failures,[ IEEE Trans. Signal Process., vol. 58, no. 3, pt. 1, pp. 1383-1400, Mar. 2009.
    • (2009) IEEE Trans. Signal Process. , vol.58 , Issue.1 PART 1 , pp. 1383-1400
    • Kar, S.1    Moura, J.M.F.2
  • 76
    • 53149154509 scopus 로고    scopus 로고
    • Distributed average consensus with dithered quantization
    • Oct.
    • T. Aysal, M. Coates, and M. Rabbat, Distributed average consensus with dithered quantization,[ IEEE Trans. Signal Process., vol. 56, no. 10, pp. 4905-4918, Oct. 2008.
    • (2008) IEEE Trans. Signal Process. , vol.56 , Issue.10 , pp. 4905-4918
    • Aysal, T.1    Coates, M.2    Rabbat, M.3
  • 77
    • 39449124137 scopus 로고    scopus 로고
    • Communication constraints in the average consensus problem
    • R. Carli, F. Fagnani, A. Speranzon, andS. Zampieri, Communication constraints in the average consensus problem,[ Automatica, vol. 44, no. 3, pp. 671-684, 2008.
    • (2008) Automatica , vol.44 , Issue.3 , pp. 671-684
    • Carli, R.1    Fagnani, F.2    Speranzon, A.3    Zampieri, S.4
  • 78
    • 0035439608 scopus 로고    scopus 로고
    • Stabilization of linear systems with limited information
    • Sep.
    • N. Elia and S. Mitter, Stabilization of linear systems with limited information,[ IEEE Trans. Autom. Control, vol. 46, no. 9, pp. 1384-1400, Sep. 2001.
    • (2001) IEEE Trans. Autom. Control , vol.46 , Issue.9 , pp. 1384-1400
    • Elia, N.1    Mitter, S.2
  • 79
    • 35348858886 scopus 로고    scopus 로고
    • Differential nested lattice encoding for consensus problems
    • Apr.
    • M. Yildiz and A. Scaglione, Differential nested lattice encoding for consensus problems,[ in Proc. Inf. Process. Sensor Netw., Apr. 2007, pp. 89-98.
    • (2007) Proc. Inf. Process. Sensor Netw. , pp. 89-98
    • Yildiz, M.1    Scaglione, A.2
  • 80
    • 48849098013 scopus 로고    scopus 로고
    • Coding with side information for rate-constrained consensus
    • Aug.
    • M. Yildiz and A. Scaglione, Coding with side information for rate-constrained consensus,[ IEEE Trans. Signal Process., vol. 56, no. 8, pp. 3753-3764, Aug. 2008.
    • (2008) IEEE Trans. Signal Process. , vol.56 , Issue.8 , pp. 3753-3764
    • Yildiz, M.1    Scaglione, A.2
  • 81
    • 0016882596 scopus 로고
    • The rate-distortion function for source coding with side information at the decoder
    • Jan.
    • A. Wyner and J. Ziv, The rate-distortion function for source coding with side information at the decoder,[ IEEE Trans. Inf. Theory, vol. IT-22, no. 1, pp. 1-10, Jan. 1976.
    • (1976) IEEE Trans. Inf. Theory , vol.IT-22 , Issue.1 , pp. 1-10
    • Wyner, A.1    Ziv, J.2
  • 82
    • 0036611624 scopus 로고    scopus 로고
    • Nested linear/lattice codes for structured multiterminal binning
    • Jun.
    • R. Zamir, S. Shamai, and U. Erez, Nested linear/lattice codes for structured multiterminal binning,[ IEEE Trans. Inf. Theory, vol. 48, no. 6, pp. 1250-1276, Jun. 2002.
    • (2002) IEEE Trans. Inf. Theory , vol.48 , Issue.6 , pp. 1250-1276
    • Zamir, R.1    Shamai, S.2    Erez, U.3
  • 86
    • 70349665031 scopus 로고    scopus 로고
    • Consensus based detection in sensor networks: Topology optimization under practical constraints
    • Jun.
    • S. Kar and J. Moura, Consensus based detection in sensor networks: Topology optimization under practical constraints,[ in Proc. Int. Workshop Inf. Theory Sensor Netw., Santa Fe, NM, Jun. 2007.
    • (2007) Proc. Int. Workshop Inf. Theory Sensor Netw., Santa Fe, NM
    • Kar, S.1    Moura, J.2
  • 87
    • 33750392429 scopus 로고    scopus 로고
    • Distributed detection in sensor networks with packet loss and finite capacity links
    • Nov.
    • V. Saligrama, M. Alanyali, and O. Savas, Distributed detection in sensor networks with packet loss and finite capacity links,[ IEEE Trans. Signal Process., vol. 54, no. 11, pp. 4118-4132, Nov. 2006.
    • (2006) IEEE Trans. Signal Process. , vol.54 , Issue.11 , pp. 4118-4132
    • Saligrama, V.1    Alanyali, M.2    Savas, O.3
  • 88
    • 33750584366 scopus 로고    scopus 로고
    • Consensus propagation
    • Nov.
    • C. Moallemi and B. Van Roy, Consensus propagation,[ IEEE Trans. Inf. Theory, vol. 52, no. 11, pp. 4753-4766, Nov. 2006.
    • (2006) IEEE Trans. Inf. Theory , vol.52 , Issue.11 , pp. 4753-4766
    • Moallemi, C.1    Van Roy, B.2
  • 89
    • 57349117665 scopus 로고    scopus 로고
    • Distributed pose averaging in camera networks via consensus on SE3
    • Palo Alto, CA Sep. DOI: 10.1109/ICDSC.2008.4635701
    • R. Tron, R. Vidal, and A. Terzis, Distributed pose averaging in camera networks via consensus on SE3,[ in Proc. IEEE Conf. Distrib. Smart Cameras, Palo Alto, CA, Sep. 2008, DOI: 10.1109/ICDSC.2008.4635701.
    • (2008) Proc. IEEE Conf. Distrib. Smart Cameras
    • Tron, R.1    Vidal, R.2    Terzis, A.3
  • 91
    • 70349668991 scopus 로고    scopus 로고
    • A lineariterative algorithm for distributed sensor localization
    • Pacific Grove, CA, Oct.
    • S. Kar and J. M. F. Moura, A lineariterative algorithm for distributed sensor localization,[ in Proc. 42nd Asilomar Conf. Signals Syst. Comput., Pacific Grove, CA, Oct. 2008, pp. 1160-1164.
    • (2008) Proc. 42nd Asilomar Conf. Signals Syst. Comput. , pp. 1160-1164
    • Kar, S.1    Moura, J.M.F.2
  • 93
    • 46649108330 scopus 로고    scopus 로고
    • Diffusionleast-mean squares over adaptive networks: Formulation and performance analysis
    • Jul.
    • C. G. Lopes and A. H. Sayed, Diffusionleast-mean squares over adaptive networks: Formulation and performance analysis,[ IEEE Trans. Signal Process., vol. 56, no. 7, pp. 3122-3136, Jul. 2008.
    • (2008) IEEE Trans. Signal Process. , vol.56 , Issue.7 , pp. 3122-3136
    • Lopes, C.G.1    Sayed, A.H.2
  • 94
    • 62749131653 scopus 로고    scopus 로고
    • Decentralized parameter estimation by consensus based stochastic approximation
    • New Orleans, LA Dec. 12-14
    • S. Stankovic, M. Stankovic, andD. Stipanovic, Decentralized parameter estimation by consensus based stochastic approximation,[ in Proc. 46th IEEE Conf. Decision Control, New Orleans, LA, Dec. 12-14, 2007, pp. 1535-1540.
    • (2007) Proc. 46th IEEE Conf. Decision Control , pp. 1535-1540
    • Stankovic, S.1    Stankovic, M.2    Stipanovic, D.3
  • 96
    • 76949102088 scopus 로고    scopus 로고
    • Distributed and recursive parameterestimation in parametrized linear state-space models
    • Feb.
    • S. Ram, V. Veeravalli, and A. Nedic, Distributed and recursive parameterestimation in parametrized linear state-space models IEEE Trans. Autom. Control, vol. 55, no. 2, pp. 488-492, Feb. 2010.
    • (2010) IEEE Trans. Autom. Control , vol.55 , Issue.2 , pp. 488-492
    • Ram, S.1    Veeravalli, V.2    Nedic, A.3
  • 97
    • 77958152967 scopus 로고    scopus 로고
    • Distributed and recursive nonlinear least square parameter estimation: Linear and separable models
    • G. Ferrari, Ed. New York: Springer-Verlag
    • S. S. Ram, V. V. Veeravalli, and A. Nedic, Distributed and recursive nonlinear least square parameter estimation: Linear and separable models,[ in Sensor Networks: Where Theory Meets Practice, G. Ferrari, Ed. New York: Springer-Verlag, 2009.
    • (2009) Sensor Networks: Where Theory Meets Practice
    • Ram, S.S.1    Veeravalli, V.V.2    Nedic, A.3
  • 99
    • 51449090686 scopus 로고    scopus 로고
    • Scalable distributed Kalman filtering through consensus
    • Las Vegas NV Apr. 1-4
    • S. Kirti and A. Scaglione, Scalable distributed Kalman filtering through consensus,[ in Proc. 33rd Int. Conf. Acoust. Speech Signal Process., Las Vegas, NV, Apr. 1-4, 2008, pp. 2725-2728.
    • (2008) Proc. 33rd Int. Conf. Acoust. Speech Signal Process. , pp. 2725-2728
    • Kirti, S.1    Scaglione, A.2
  • 100
    • 53149095458 scopus 로고    scopus 로고
    • Distributing the Kalman filter for large-scale systems
    • Oct.
    • U. A. Khan and J. M. F. Moura, Distributing the Kalman filter for large-scale systems,[ IEEE Trans. Signal Process., vol. 56, no. 10, pt. 1, pp. 4919-4935, Oct. 2008.
    • (2008) IEEE Trans. Signal Process. , vol.56 , Issue.10 PART 1 , pp. 4919-4935
    • Khan, U.A.1    Moura, J.M.F.2    Moura, F.3
  • 101
    • 77958151278 scopus 로고    scopus 로고
    • Kalman filtering in wireless sensor networks: Incorporating communication cost in state estimation problems
    • A. Ribeiro, I. D. Schizas, S. I. Roumeliotis, and G. B. Giannakis, Kalman filtering in wireless sensor networks: Incorporating communication cost in state estimation problems,[ IEEE Control Syst. Mag., 2009.
    • (2009) IEEE Control Syst. Mag.
    • Ribeiro, A.1    Schizas, I.D.2    Roumeliotis, S.I.3    Giannakis, G.B.4
  • 102
    • 43349098102 scopus 로고    scopus 로고
    • Distributed Kalman filtering based on consensus strategies
    • May
    • R. Carli, A. Chiuso, L. Schenato, andS. Zampieri, Distributed Kalman filtering based on consensus strategies,[ IEEE J. Sel. Areas Commun., vol. 26, no. 4, pp. 622-633, May 2008.
    • (2008) IEEE J. Sel. Areas Commun. , vol.26 , Issue.4 , pp. 622-633
    • Carli, R.1    Chiuso, A.2    Schenato, L.3    Zampieri, S.4
  • 103
    • 44049090735 scopus 로고    scopus 로고
    • Distributed linear parameter estimation in sensor networks based on laplacian dynamics consensus algorithm
    • Reston, VA Sep. 28-28
    • A. Das and M. Mesbahi, Distributed linear parameter estimation in sensor networks based on Laplacian dynamics consensus algorithm,[ in Proc. 3rd Annu. IEEE Commun. Soc. Sensor Ad Hoc Commun. Netw., Reston, VA, Sep. 28-28, 2006, vol. 2, pp. 440-449.
    • (2006) Proc. 3rd Annu. IEEE Commun. Soc. Sensor Ad Hoc Commun. Netw. , vol.2 , pp. 440-449
    • Das, A.1    Mesbahi, M.2
  • 104
    • 37749015518 scopus 로고    scopus 로고
    • Consensus in ad hoc WSNS with noisy linksVPart I: Distributed estimation of deterministic signals
    • Jan.
    • I. D. Schizas, A. Ribeiro, and G. B. Giannakis, Consensus in ad hoc WSNS with noisy linksVPart I: Distributed estimation of deterministic signals,[ IEEE Trans. Signal Process., vol. 56, no. 1, pp. 350-364, Jan. 2008.
    • (2008) IEEE Trans. Signal Process. , vol.56 , Issue.1 , pp. 350-364
    • Schizas, I.D.1    Ribeiro, A.2    Giannakis, G.B.3
  • 106
    • 46449139596 scopus 로고    scopus 로고
    • Stochastic Lyapunov analysis for consensus algorithms with noisy measurements
    • New York Jul.
    • M. Huang and J. Manton, StochasticLyapunov analysis for consensus algorithms with noisy measurements,[ in Proc. Amer. Control Conf., New York, Jul. 2007, pp. 1419-1424.
    • (2007) Proc. Amer. Control Conf. , pp. 1419-1424
    • Huang, M.1    Manton, J.2
  • 107
    • 70349223920 scopus 로고    scopus 로고
    • A mixed time scale algorithm for distributed parameter estimation: Nonlinear observation models and imperfect communication
    • Taipei, Taiwan Apr.
    • S. Kar and J. M. F. Moura, A mixed time scale algorithm for distributed parameter estimation: Nonlinear observation models and imperfect communication,[ in Proc. 34th Int. Conf. Acoust. Speech Signal Process., Taipei, Taiwan, Apr. 2009, pp. 3669-3672.
    • (2009) Proc. 34th Int. Conf. Acoust. Speech Signal Process. , pp. 3669-3672
    • Kar, S.1    Moura, J.M.F.2
  • 108
    • 85032751636 scopus 로고    scopus 로고
    • Locating the nodes: Cooperative localization in wireless sensor networks
    • Jul.
    • N. Patwari, J. Ash, S. Kyperountas, A. Hero, R. Moses, and N. Correal, Locating the nodes: Cooperative localization in wireless sensor networks,[ IEEE Signal Process. Mag., vol. 22, no. 4, pp. 54-69, Jul. 2005.
    • (2005) IEEE Signal Process. Mag. , vol.22 , Issue.4 , pp. 54-69
    • Patwari, N.1    Ash, J.2    Kyperountas, S.3    Hero, A.4    Moses, R.5    Correal, N.6
  • 109
    • 0037445307 scopus 로고    scopus 로고
    • Energy based collaborative source localization using acoustic micro-sensor array
    • D. Li and Y. Hu, Energy based collaborative source localization using acoustic micro-sensor array,[ J. EUROSIP Appl. Signal Process., vol. 2003, no. 4, pp. 321-337, 2003.
    • (2003) J. EUROSIP Appl. Signal Process. , vol.2003 , Issue.4 , pp. 321-337
    • Li, D.1    Hu, Y.2
  • 111
    • 11844301315 scopus 로고    scopus 로고
    • Maximum likelihood multiple-source localization using acoustic energy measurements with wireless sensornetworks
    • Jan.
    • X. Sheng and Y. Hu, Maximum likelihood multiple-source localization using acoustic energy measurements with wireless sensornetworks,[ IEEE Trans. Signal Process., vol. 53, no. 1, pp. 44-53, Jan. 2005.
    • (2005) IEEE Trans. Signal Process. , vol.53 , Issue.1 , pp. 44-53
    • Sheng, X.1    Hu, Y.2
  • 113
    • 65649092098 scopus 로고    scopus 로고
    • Distributed sensor localization in random environments using minimal number of anchor nodes
    • May
    • U. Khan, S. Kar, and J. Moura, Distributed sensor localization in random environments using minimal number of anchor nodes,[ IEEE Trans. Signal Process., vol. 57, no. 5, pp. 2000-2016, May 2009.
    • (2009) IEEE Trans. Signal Process. , vol.57 , Issue.5 , pp. 2000-2016
    • Khan, U.1    Kar, S.2    Moura, J.3
  • 114
    • 0015648934 scopus 로고
    • Noiseless coding of correlated information sources
    • Jul.
    • D. Slepian and J. Wolf, Noiseless coding of correlated information sources,[ IEEE Trans. Inf. Theory, vol. 19, no. 4, pp. 471-480, Jul. 1973.
    • (1973) IEEE Trans. Inf. Theory , vol.19 , Issue.4 , pp. 471-480
    • Slepian, D.1    Wolf, J.2
  • 116
    • 85032751350 scopus 로고    scopus 로고
    • Distributed compression in a dense microsensor network
    • Mar.
    • S. Pradhan, J. Kusuma, and K. Ramchandran, Distributed compression in a dense microsensor network,[ IEEE Signal Process. Mag., vol. 19, no. 2, pp. 51-60, Mar. 2002.
    • (2002) IEEE Signal Process. Mag. , vol.19 , Issue.2 , pp. 51-60
    • Pradhan, S.1    Kusuma, J.2    Ramchandran, K.3
  • 118
    • 85009724776 scopus 로고    scopus 로고
    • Nonlinear approximation
    • R. DeVore, Nonlinear approximation,[ Acta Numerica, vol. 7, pp. 51-150, 1998.
    • (1998) Acta Numerica , vol.7 , pp. 51-150
    • De Vore, R.1
  • 120
    • 29144439194 scopus 로고    scopus 로고
    • Decoding by linear programming
    • Dec.
    • E. J. Candes and T. Tao, Decoding by linear programming,[ IEEE Trans. Inf. Theory, vol. 51, no. 12, pp. 4203-4215, Dec. 2005.
    • (2005) IEEE Trans. Inf. Theory , vol.51 , Issue.12 , pp. 4203-4215
    • Candes, E.J.1    Tao, T.2
  • 121
    • 33645712892 scopus 로고    scopus 로고
    • Compressed sensing
    • Apr.
    • D. L. Donoho, Compressed sensing,[ IEEE Trans. Inf. Theory, vol. 52, no. 4, pp. 1289-1306, Apr. 2006.
    • (2006) IEEE Trans. Inf. Theory , vol.52 , Issue.4 , pp. 1289-1306
    • Donoho, D.L.1
  • 122
    • 33947416035 scopus 로고    scopus 로고
    • Near-optimalsignal recovery from random projections: Universal encoding strategies?
    • Dec.
    • E. J. Candes and T. Tao, Near-optimalsignal recovery from random projections: Universal encoding strategies?[ IEEE Trans. Inf. Theory, vol. 52, no. 12, pp. 5406-5425, Dec. 2006.
    • (2006) IEEE Trans. Inf. Theory , vol.52 , Issue.12 , pp. 5406-5425
    • Candes, E.J.1    Tao, T.2
  • 123
    • 34247370267 scopus 로고    scopus 로고
    • Decentralized compression and predistribution via randomized gossiping
    • Nashville, TN Apr.
    • M. Rabbat, J. Haupt, A. Singh, andR. Nowak, Decentralized compression and predistribution via randomized gossiping,[ in Proc. Int. Conf. Inf. Process. Sensor Netw., Nashville, TN, Apr. 2006, pp. 51-59.
    • (2006) Proc. Int. Conf. Inf. Process. Sensor Netw. , pp. 51-59
    • Rabbat, M.1    Haupt, J.2    Singh, A.3    Nowak, R.4
  • 124
  • 125
    • 77953867957 scopus 로고    scopus 로고
    • A distributed sensor fusion algorithm for the inversion of sparse fields
    • Pacific Grove CA Nov.
    • A. Schmidt and J. Moura, A distributed sensor fusion algorithm for the inversion of sparse fields,[ in Proc. Asilomar Conf. Signals Syst. Comput., Pacific Grove, CA, Nov. 2009, pp. 1332-1336.
    • (2009) Proc. Asilomar Conf. Signals Syst. Comput. , pp. 1332-1336
    • Schmidt, A.1    Moura, J.2
  • 126
    • 35348849597 scopus 로고    scopus 로고
    • Hierarchical spatial gossip for multi-resolution representations in sensor networks
    • Apr.
    • R. Sarkar, X. Zhu, and J. Gao, Hierarchical spatial gossip for multi-resolution representations in sensor networks,[ in Proc. Int. Conf. Inf. Process. Sensor Netw., Apr. 2007, pp. 420-429.
    • (2007) Proc. Int. Conf. Inf. Process. Sensor Netw. , pp. 420-429
    • Sarkar, R.1    Zhu, X.2    Gao, J.3
  • 129
    • 70349661604 scopus 로고    scopus 로고
    • The impact of mobility on gossip algorithms
    • A. Sarwate and A. Dimakis, The impact of mobility on gossip algorithms,[ in Proc. IEEE Infocom, 2009, pp. 2088-2096.
    • (2009) Proc. IEEE Infocom , pp. 2088-2096
    • Sarwate, A.1    Dimakis, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.