메뉴 건너뛰기




Volumn 10, Issue 1, 2013, Pages

Compression in wireless sensor networks: A survey and comparative evaluation

Author keywords

Compression; Wireless sensor networks

Indexed keywords

COMMUNICATION BANDWIDTH; COMPARATIVE EVALUATIONS; COMPARATIVE STUDIES; COMPRESSION ALGORITHMS; COMPRESSION APPROACH; FUTURE RESEARCH DIRECTIONS; PROCESSOR PERFORMANCE; WIRELESS SENSOR NETWORK (WSNS);

EID: 84890423310     PISSN: 15504859     EISSN: 15504867     Source Type: Journal    
DOI: 10.1145/2528948     Document Type: Article
Times cited : (165)

References (151)
  • 4
    • 39649120580 scopus 로고    scopus 로고
    • The impact of data aggregation on the performance of wireless sensor networks
    • Akkaya, K., Demirbas, M., and Aygun, R. S. 2008. The impact of data aggregation on the performance of wireless sensor networks. Wirel. Commun. Mob. Comput. 8, 2, 171-193.
    • (2008) Wirel. Commun. Mob. Comput. , vol.8 , Issue.2 , pp. 171-193
    • Akkaya, K.1    Demirbas, M.2    Aygun, R.S.3
  • 7
    • 84890413434 scopus 로고    scopus 로고
    • Experimental study of application specific source coding for wireless sensor networks
    • Annamalai, M., Shrestha, D., and Tjuatja, S. 2008. Experimental study of application specific source coding for wireless sensor networks. CoRR abs/0810.3626.
    • (2008) CoRR abs/0810.3626
    • Annamalai, M.1    Shrestha, D.2    Tjuatja, S.3
  • 9
    • 35148822623 scopus 로고    scopus 로고
    • Joint source-channel communication for distributed estimation in sensor networks
    • Bajwa, W. U., Haupt, J. D., Sayeed, A. M., and Nowak, R. D. 2007. Joint source-channel communication for distributed estimation in sensor networks. IEEE Trans. Inform. Theory 53, 10, 3629-3653.
    • (2007) IEEE Trans. Inform. Theory , vol.53 , Issue.10 , pp. 3629-3653
    • Bajwa, W.U.1    Haupt, J.D.2    Sayeed, A.M.3    Nowak, R.D.4
  • 14
    • 33748324558 scopus 로고    scopus 로고
    • Energy-aware lossless data compression
    • Barr, K. C. and Asanović, K. 2006. Energy-aware lossless data compression. ACM Trans. Comput. Syst. 24, 3, 250-291.
    • (2006) ACM Trans. Comput. Syst. , vol.24 , Issue.3 , pp. 250-291
    • Barr, K.C.1    Asanović, K.2
  • 19
    • 43049104584 scopus 로고    scopus 로고
    • An adaptive in-network aggregation operator for query processing in wireless sensor networks
    • Brayner, A., Lopes, A., Meira, D., Vasconcelos, R., Andmenezes, R. 2008. An adaptive in-network aggregation operator for query processing in wireless sensor networks. J. Syst. Softw. 81, 3, 328-342.
    • (2008) J. Syst. Softw. , vol.81 , Issue.3 , pp. 328-342
    • Brayner, A.1    Lopes, A.2    Meira, D.3    Vasconcelos, R.4    Andmenezes, R.5
  • 22
    • 84856350415 scopus 로고    scopus 로고
    • Distributed compressive sampling for lifetime optimization in dense wireless sensor networks
    • Caione, C., Brunelli, D., and Benini, L. 2012. Distributed compressive sampling for lifetime optimization in dense wireless sensor networks. IEEE Trans. Indust. Inf. 8, 1, 30-40.
    • (2012) IEEE Trans. Indust. Inf. , vol.8 , Issue.1 , pp. 30-40
    • Caione, C.1    Brunelli, D.2    Benini, L.3
  • 23
    • 34249687049 scopus 로고    scopus 로고
    • Sparsity and incoherence in compressive sampling
    • Candès, E. and Romberg, J. 2007. Sparsity and incoherence in compressive sampling. Inverse Prob. 23, 969-985.
    • (2007) Inverse Prob. , vol.23 , pp. 969-985
    • Candès, E.1    Romberg, J.2
  • 24
    • 85032750937 scopus 로고    scopus 로고
    • An introduction to compressive sampling
    • Candès, E. and Wakin, M. 2008. An introduction to compressive sampling. IEEE Signal Process. Mag. 25, 3.
    • (2008) IEEE Signal Process. Mag. , vol.25 , Issue.3
    • Candès, E.1    Wakin, M.2
  • 25
    • 33745604236 scopus 로고    scopus 로고
    • Stable signal recovery from incomplete and inaccurate measurements
    • Candès, E. J., Romberg, J. K., and Tao, T. 2006. Stable signal recovery from incomplete and inaccurate measurements. Commun. Pure Appl. Math. 59, 8, 1207-1223.
    • (2006) Commun. Pure Appl. Math. , vol.59 , Issue.8 , pp. 1207-1223
    • Candès, E.J.1    Romberg, J.K.2    Tao, T.3
  • 26
    • 31744440684 scopus 로고    scopus 로고
    • Robust uncertainity principles: Exact signal reconstruction from highly incomplete frequency information
    • Candès, E. J., Romberg, J. K., and Tao, T. 2006. Robust uncertainity principles: Exact signal reconstruction from highly incomplete frequency information. IEEE Trans. Inform. Theory 52, 489-509.
    • (2006) IEEE Trans. Inform. Theory , vol.52 , pp. 489-509
    • Candès, E.J.1    Romberg, J.K.2    Tao, T.3
  • 28
    • 25844504705 scopus 로고    scopus 로고
    • Energy-efficient target coverage in wireless sensor networks
    • Cardei, M., Thai, M. T., Li, Y., and Wu, W. 2005. Energy-efficient target coverage in wireless sensor networks. In Proceedings of the IEEE INFOCOM. 1976-1984.
    • (2005) Proceedings of the IEEE INFOCOM , pp. 1976-1984
    • Cardei, M.1    Thai, M.T.2    Li, Y.3    Wu, W.4
  • 31
    • 0041438298 scopus 로고    scopus 로고
    • A distributed and adaptive signal processing approach to reducing energy consumption in sensor networks
    • Chou, J. and Petrovic, D. 2003. A distributed and adaptive signal processing approach to reducing energy consumption in sensor networks. In Proceedings of the IEEE INFOCOM. 1054-1062.
    • (2003) Proceedings of the IEEE INFOCOM , pp. 1054-1062
    • Chou, J.1    Petrovic, D.2
  • 39
    • 38049112639 scopus 로고    scopus 로고
    • RIDA: A robust information-driven data compression architecture for irregular wireless sensor networks
    • Lecture Notes in Computer Science, Springer-Verlag, Berlin Heidelberg
    • Dang, T., Bulusu, N., and Feng, W.-C. 2007. RIDA: A robust information-driven data compression architecture for irregular wireless sensor networks. In Proceedings of the 4th European Conference on Wireless Sensor Networks (EWSN'07). Lecture Notes in Computer Science, vol. 4373, Springer-Verlag, Berlin Heidelberg, 133-149.
    • (2007) Proceedings of the 4th European Conference on Wireless Sensor Networks (EWSN'07) , vol.4373 , pp. 133-149
    • Dang, T.1    Bulusu, N.2    Feng, W.-C.3
  • 40
    • 18344410543 scopus 로고    scopus 로고
    • Factoring wavelet transforms into lifting steps
    • Daubechies, I. and Sweldens, W. 1998. Factoring wavelet transforms into lifting steps. J. Fourier Anal. Appl. 4, 247-269.
    • (1998) J. Fourier Anal. Appl. , vol.4 , pp. 247-269
    • Daubechies, I.1    Sweldens, W.2
  • 45
    • 29144491203 scopus 로고    scopus 로고
    • Tech. rep., Standford University
    • Donoho, D. L. 2005. Compressed sensing. Tech. rep., Standford University.
    • (2005) Compressed Sensing
    • Donoho, D.L.1
  • 46
    • 33645712892 scopus 로고    scopus 로고
    • Compressed sensing
    • Donoho, D. L. 2006. Compressed sensing. IEEE Trans. Inform. Theory 52, 4, 1289-1306.
    • (2006) IEEE Trans. Inform. Theory , vol.52 , Issue.4 , pp. 1289-1306
    • Donoho, D.L.1
  • 49
    • 84890380209 scopus 로고    scopus 로고
    • EPFL. 2008. Sensorscope dataset. http://sensorscope.epfl.ch/index.php/ EnvironmentalData.
    • (2008) Sensorscope Dataset
  • 51
    • 34248662954 scopus 로고    scopus 로고
    • In-network aggregation techniques for wireless sensor networks: A survey
    • Fasolo, E., Rossi, M., Widmer, J., and Zorzi, M. 2007. In-network aggregation techniques for wireless sensor networks: A survey. IEEE Wirel. Commun. 14, 2, 70-87.
    • (2007) IEEE Wirel. Commun. , vol.14 , Issue.2 , pp. 70-87
    • Fasolo, E.1    Rossi, M.2    Widmer, J.3    Zorzi, M.4
  • 53
    • 0001287157 scopus 로고    scopus 로고
    • Compression of correlated binary sources using turbo codes
    • Garcia-Frias, J. and Zhao, Y. 2001. Compression of correlated binary sources using turbo codes. IEEE Commun. Lett. 5, 10, 417-419.
    • (2001) IEEE Commun. Lett. , vol.5 , Issue.10 , pp. 417-419
    • Garcia-Frias, J.1    Zhao, Y.2
  • 55
    • 12544258215 scopus 로고    scopus 로고
    • Symmetric and a-symmetric Slepian-wolf codes with systematic and non-systematic linear codes
    • Gehrig, N. and Dragotti, P. L. 2005. Symmetric and a-symmetric Slepian-wolf codes with systematic and non-systematic linear codes. IEEE Commun. Lett. 5, 1.
    • (2005) IEEE Commun. Lett. , vol.5 , Issue.1
    • Gehrig, N.1    Dragotti, P.L.2
  • 57
    • 33748575920 scopus 로고    scopus 로고
    • Signal reconstruction from noisy random projections
    • Haupt, J. and Nowak, R. 2006. Signal reconstruction from noisy random projections. IEEE Trans. Inform. Theory 52, 4036-4048.
    • (2006) IEEE Trans. Inform. Theory , vol.52 , pp. 4036-4048
    • Haupt, J.1    Nowak, R.2
  • 59
    • 84862131680 scopus 로고    scopus 로고
    • AIDA: Adaptive application-independent data aggregation in wireless sensor networks
    • He, T., Blum, B. M., Stankovic, J. A., and Abdelzaher, T. 2004. AIDA: Adaptive application-independent data aggregation in wireless sensor networks. ACM Trans. Embed. Comput. Syst. 3, 2, 426-457.
    • (2004) ACM Trans. Embed. Comput. Syst. , vol.3 , Issue.2 , pp. 426-457
    • He, T.1    Blum, B.M.2    Stankovic, J.A.3    Abdelzaher, T.4
  • 61
    • 33646589837 scopus 로고    scopus 로고
    • An application-specific protocol architecture for wireless microsensor networks
    • Heinzelman, W. B., Chandrakasan, A. P., and Balakrishnan, H. 2002. An application-specific protocol architecture for wireless microsensor networks. IEEE Trans. Wirel. Commun. 1, 660-670.
    • (2002) IEEE Trans. Wirel. Commun. , vol.1 , pp. 660-670
    • Heinzelman, W.B.1    Chandrakasan, A.P.2    Balakrishnan, H.3
  • 62
    • 77953245957 scopus 로고    scopus 로고
    • On the throughput, delay, and energy efficiency of distributed source coding in random access sensor networks
    • Hong, Y.-W. P., Tsai, Y.-R., Liao, Y.-Y., Lin, C.-H., and Yang, K.-J. 2010. On the throughput, delay, and energy efficiency of distributed source coding in random access sensor networks. Trans. Wirel. Comm. 9, 1965-1975.
    • (2010) Trans. Wirel. Comm. , vol.9 , pp. 1965-1975
    • Hong, Y.-W.P.1    Tsai, Y.-R.2    Liao, Y.-Y.3    Lin, C.-H.4    Yang, K.-J.5
  • 64
    • 34548324833 scopus 로고    scopus 로고
    • Nearly constant approximation for data aggregation scheduling in wireless sensor networks
    • Huang, S. C.-H., Wan, P.-J., Vu, C. T., Li, Y., and Yao, F. 2007. Nearly constant approximation for data aggregation scheduling in wireless sensor networks. In Proceedings of the IEEE INFOCOM. 6-12.
    • (2007) Proceedings of the IEEE INFOCOM , pp. 6-12
    • Huang, S.C.-H.1    Wan, P.-J.2    Vu, C.T.3    Li, Y.4    Yao, F.5
  • 66
    • 45849138985 scopus 로고    scopus 로고
    • Intel Berkeley Research Lab
    • Intel Berkeley Research Lab. 2004. Intel lab data. http://db.csail.mit. edu/labdata/labdata.html.
    • (2004) Intel Lab Data
  • 72
    • 0020205374 scopus 로고
    • Rate-distortion for correlated sources with partially separated encoders
    • Kaspi, A. and Berger, T. 1982. Rate-distortion for correlated sources with partially separated encoders. IEEE Trans. Inform. Theory 28, 6, 828-840.
    • (1982) IEEE Trans. Inform. Theory , vol.28 , Issue.6 , pp. 828-840
    • Kaspi, A.1    Berger, T.2
  • 76
    • 0036499227 scopus 로고    scopus 로고
    • Negotiation-based protocols for disseminating information in wireless sensor networks
    • Kulik, J., Heinzelman, W., and Balakrishnan, H. 2002. Negotiation-based protocols for disseminating information in wireless sensor networks. Wirel. Netw. 8, 2/3, 169-185.
    • (2002) Wirel. Netw. , vol.8 , Issue.2-3 , pp. 169-185
    • Kulik, J.1    Heinzelman, W.2    Balakrishnan, H.3
  • 77
    • 34547920743 scopus 로고    scopus 로고
    • Adaptive model selection for time series prediction in wireless sensor networks
    • Le Borgne, Y.-A., Santini, S., and Bontempi, G. 2007. Adaptive model selection for time series prediction in wireless sensor networks. Signal Process. 87, 12, 3010-3020.
    • (2007) Signal Process , vol.87 , Issue.12 , pp. 3010-3020
    • Le Borgne, Y.-A.1    Santini, S.2    Bontempi, G.3
  • 79
    • 77951713277 scopus 로고    scopus 로고
    • Adaptive-compression based congestion control technique for wireless sensor networks
    • Lee, J.-H. and Jung, I.-B. 2010. Adaptive-compression based congestion control technique for wireless sensor networks. Sensors 10, 4, 2919-2945.
    • (2010) Sensors , vol.10 , Issue.4 , pp. 2919-2945
    • Lee, J.-H.1    Jung, I.-B.2
  • 81
    • 69249248125 scopus 로고    scopus 로고
    • Presto: Feedback-driven data management in sensor networks
    • Li, M., Ganesan, D., and Shenoy, P. 2009. Presto: Feedback-driven data management in sensor networks. IEEE/ACM Trans. Netw. 17, 4, 1256-1269.
    • (2009) IEEE/ACM Trans. Netw. , vol.17 , Issue.4 , pp. 1256-1269
    • Li, M.1    Ganesan, D.2    Shenoy, P.3
  • 82
    • 80054809147 scopus 로고    scopus 로고
    • Complexity of data collection, aggregation, and selection for wireless sensor networks
    • Li, X.-Y., Wang, Y., and Wang, Y. 2010. Complexity of data collection, aggregation, and selection for wireless sensor networks. IEEE Trans. Comput.
    • (2010) IEEE Trans. Comput.
    • Li, X.-Y.1    Wang, Y.2    Wang, Y.3
  • 86
    • 0036810616 scopus 로고    scopus 로고
    • Compression of binary sources with side information at the decoder using LDPC codes
    • Liveris, A. D., Xiong, Z., and Georghiades, C. N. 2002. Compression of binary sources with side information at the decoder using LDPC codes. IEEE Commun. Lett. 6, 10, 440-442.
    • (2002) IEEE Commun. Lett. , vol.6 , Issue.10 , pp. 440-442
    • Liveris, A.D.1    Xiong, Z.2    Georghiades, C.N.3
  • 95
    • 84890384177 scopus 로고    scopus 로고
    • Tech. rep.
    • MICRODAQ. 2010. 10hs soil moisture sensor. Tech. rep., http://www.microdaq.com/tandd/sensors/soilmoisture.php.
    • (2010) 10hs Soil Moisture Sensor
  • 96
    • 84890384348 scopus 로고    scopus 로고
    • MICA2DOT
    • MICA2DOT. 2004. Mica2dot datasheet. http://www.cmt-gmbh.de/Mica2dot.pdf.
    • (2004) Mica2dot Datasheet
  • 97
    • 42149159041 scopus 로고    scopus 로고
    • Synopsis diffusion for robust aggregation in sensor networks
    • 2, 7
    • Nath, S., Gibbons, P. B., Seshan, S., and Anderson, Z. 2008. Synopsis diffusion for robust aggregation in sensor networks. ACM Trans. Sen. Netw. 4, 2, 7:1-7:40.
    • (2008) ACM Trans. Sen. Netw. , vol.4 , Issue.1-7 , pp. 40
    • Nath, S.1    Gibbons, P.B.2    Seshan, S.3    Anderson, Z.4
  • 98
    • 0031069121 scopus 로고    scopus 로고
    • The racing algorithm: Model selection for lazy learners
    • Oded, M. and Moore, A. W. 1997. The racing algorithm: Model selection for lazy learners. Artif. Intell. Rev. 11, 193-225.
    • (1997) Artif. Intell. Rev. , vol.11 , pp. 193-225
    • Oded, M.1    Moore, A.W.2
  • 101
    • 67549118456 scopus 로고    scopus 로고
    • Secure data aggregation in wireless sensor networks: A comprehensive overview
    • Ozdemir, S. and Xiao, Y. 2009. Secure data aggregation in wireless sensor networks: A comprehensive overview. Comput. Netw. 53, 12, 2022-2037.
    • (2009) Comput. Netw. , vol.53 , Issue.12 , pp. 2022-2037
    • Ozdemir, S.1    Xiao, Y.2
  • 104
    • 4243082091 scopus 로고    scopus 로고
    • Security in wireless sensor networks
    • Perrig, A., Stankovic, J., and Wagner, D. 2004. Security in wireless sensor networks. Comm. ACM 47, 6, 53-57.
    • (2004) Comm. ACM , vol.47 , Issue.6 , pp. 53-57
    • Perrig, A.1    Stankovic, J.2    Wagner, D.3
  • 107
    • 0345851235 scopus 로고    scopus 로고
    • Wireless integrated network sensors
    • Pottie, G. J. and Kaiser, W. J. 2000. Wireless integrated network sensors. Comm. ACM 43, 51-58.
    • (2000) Comm. ACM , vol.43 , pp. 51-58
    • Pottie, G.J.1    Kaiser, W.J.2
  • 109
    • 0037356065 scopus 로고    scopus 로고
    • Distributed source coding using syndromes (discus): Design and construction
    • Pradhan, S. S., Pradhan, E., and Ramchandran, K. 1999. Distributed source coding using syndromes (discus): Design and construction. IEEE Trans. Inform. Theory 49, 626-643.
    • (1999) IEEE Trans. Inform. Theory , vol.49 , pp. 626-643
    • Pradhan, S.S.1    Pradhan, E.2    Ramchandran, K.3
  • 111
    • 0037356065 scopus 로고    scopus 로고
    • Distributed source coding using syndromes (DISCUS): Design and construction
    • Pradhan, S. S. and Ramchandran, K. 2003. Distributed source coding using syndromes (DISCUS): Design and construction. IEEE Trans. Inform. Theory 49, 3, 626-643.
    • (2003) IEEE Trans. Inform. Theory , vol.49 , Issue.3 , pp. 626-643
    • Pradhan, S.S.1    Ramchandran, K.2
  • 114
    • 84874468531 scopus 로고    scopus 로고
    • Data aggregation techniques in sensor networks: A survey
    • Rajagopalan, R. and Varshney, P. K. 2006. Data aggregation techniques in sensor networks: A survey. IEEE Comm. Surv. Tutorials 8, 48-63.
    • (2006) IEEE Comm. Surv. Tutorials , vol.8 , pp. 48-63
    • Rajagopalan, R.1    Varshney, P.K.2
  • 115
  • 120
    • 84874587707 scopus 로고    scopus 로고
    • SENSIRION, Tech. rep.
    • SENSIRION. 2010. Datasheet sht1x. Tech. rep. http://datasheet.octopart. com/SHT11-Sensirion-datasheet-5323722.pdf.
    • (2010) Datasheet Sht1x
  • 122
    • 54949111407 scopus 로고    scopus 로고
    • On determining cluster size of randomly deployed heterogeneous WSNs
    • Sevgi, C. and Kocyigit, A. 2008. On determining cluster size of randomly deployed heterogeneous WSNs. IEEE Commun. Lett. 12, 4, 232-234.
    • (2008) IEEE Commun. Lett. , vol.12 , Issue.4 , pp. 232-234
    • Sevgi, C.1    Kocyigit, A.2
  • 124
    • 77953778297 scopus 로고    scopus 로고
    • Transform-based distributed data gathering
    • Shen, G. and Ortega, A. 2010. Transform-based distributed data gathering. IEEE Trans. Signal Process. 58, 7, 3802-3815.
    • (2010) IEEE Trans. Signal Process. , vol.58 , Issue.7 , pp. 3802-3815
    • Shen, G.1    Ortega, A.2
  • 127
    • 0015648934 scopus 로고
    • Noiseless coding of correlated information sources
    • Slepian, D. Andwolf, J. 1973. Noiseless coding of correlated information sources. IEEE Trans. Inform. Theory 19, 4, 471-480.
    • (1973) IEEE Trans. Inform. Theory , vol.19 , Issue.4 , pp. 471-480
    • Slepian, D.1    Wolf, J.2
  • 131
    • 14344252208 scopus 로고    scopus 로고
    • Power efficient data gathering and aggregation in wireless sensor networks
    • Tan, H. O. and Körpeog̀lu, I. 2003. Power efficient data gathering and aggregation in wireless sensor networks. SIGMOD Rec. 32, 66-71.
    • (2003) SIGMOD Rec. , vol.32 , pp. 66-71
    • Tan, H.O.1    Körpeog̀lu, I.2
  • 133
    • 84890328362 scopus 로고    scopus 로고
    • TinyNode. 2008. Tinynode datasheet. http://www.tinynode.com/?q=product/ tinynode584/tn-584-868.
    • (2008) Tinynode Datasheet
  • 135
    • 2342556586 scopus 로고    scopus 로고
    • Spatio-temporal correlation: Theory and applications for wireless sensor networks
    • Vuran, M. C., Akan, O. B., and Akyildiz, I. F. 2004. Spatio-temporal correlation: Theory and applications for wireless sensor networks. Comput. Netw. 45, 245-259.
    • (2004) Comput. Netw. , vol.45 , pp. 245-259
    • Vuran, M.C.1    Akan, O.B.2    Akyildiz, I.F.3
  • 140
    • 61349170742 scopus 로고    scopus 로고
    • Cross-layer multirate interaction with distributed source coding in wireless sensor networks
    • Wang, W., Peng, D., Wang, H., Sharif, H., and Chen, H.-H. 2009. Cross-layer multirate interaction with distributed source coding in wireless sensor networks. Trans. Wirel. Commun. 8, 787-795.
    • (2009) Trans. Wirel. Commun. , vol.8 , pp. 787-795
    • Wang, W.1    Peng, D.2    Wang, H.3    Sharif, H.4    Chen, H.-H.5
  • 141
    • 66049156129 scopus 로고    scopus 로고
    • Multiresolution spatial and temporal coding in a wireless sensor network for long-term monitoring applications
    • Wang, Y.-C., Hsieh, Y.-Y., and Tseng, Y.-C. 2009. Multiresolution spatial and temporal coding in a wireless sensor network for long-term monitoring applications. IEEE Trans. Comput. 58, 6, 827-838.
    • (2009) IEEE Trans. Comput. , vol.58 , Issue.6 , pp. 827-838
    • Wang, Y.-C.1    Hsieh, Y.-Y.2    Tseng, Y.-C.3
  • 142
    • 0021439618 scopus 로고
    • A technique for high-performance data compression
    • Welch, T. A. 1984. A technique for high-performance data compression. Computer 17, 6, 8-19.
    • (1984) Computer , vol.17 , Issue.6 , pp. 8-19
    • Welch, T.A.1
  • 143
    • 84890406216 scopus 로고    scopus 로고
    • Wikipedia. 2012. List of wireless sensor nodes. http://en.wikipedia.org/ wiki/List of sensor nodes.
    • List of Wireless Sensor Nodes , vol.2012
  • 144
    • 85032751231 scopus 로고    scopus 로고
    • Distributed compression-estimation using wireless sensor networks
    • Xiao, J.-J., Ribeiro, A., Luo, Z.-Q., and Giannakis, G. 2006a. Distributed compression-estimation using wireless sensor networks. IEEE Signal Process. Mag. 23, 4, 27-41.
    • (2006) IEEE Signal Process. Mag. , vol.23 , Issue.4 , pp. 27-41
    • Xiao, J.-J.1    Ribeiro, A.2    Luo, Z.-Q.3    Giannakis, G.4
  • 146
    • 85032757506 scopus 로고    scopus 로고
    • Distributed source coding for sensor networks
    • Xiong, Z., Liveris, A. D., and Cheng, S. 2004. Distributed source coding for sensor networks. IEEE Signal Process. Mag. 21, 5, 80-94.
    • (2004) IEEE Signal Process. Mag. , vol.21 , Issue.5 , pp. 80-94
    • Xiong, Z.1    Liveris, A.D.2    Cheng, S.3
  • 149
    • 10944266504 scopus 로고    scopus 로고
    • Heed: A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks
    • Younis, O. and Fahmy, S. 2004. Heed: A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Trans. Mobile Comput. 3, 366-379.
    • (2004) IEEE Trans. Mobile Comput. , vol.3 , pp. 366-379
    • Younis, O.1    Fahmy, S.2
  • 150
    • 39549092651 scopus 로고    scopus 로고
    • A distributed framework for correlated data gathering in sensor networks
    • Yuen, K., Liang, B., and Li, B. 2008. A distributed framework for correlated data gathering in sensor networks. IEEE Trans. Vehicular Technol. 57, 1, 578-593.
    • (2008) IEEE Trans. Vehicular Technol. , vol.57 , Issue.1 , pp. 578-593
    • Yuen, K.1    Liang, B.2    Li, B.3
  • 151
    • 43549115506 scopus 로고    scopus 로고
    • A scalable correlation aware aggregation strategy for wireless sensor networks
    • Zhu, Y., Vedantham, R., Park, S.-J., and Sivakumar, R. 2008. A scalable correlation aware aggregation strategy for wireless sensor networks. Inf. Fusion 9, 3, 354-369.
    • (2008) Inf. Fusion , vol.9 , Issue.3 , pp. 354-369
    • Zhu, Y.1    Vedantham, R.2    Park, S.-J.3    Sivakumar, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.