메뉴 건너뛰기




Volumn 12, Issue 1, 2017, Pages

e-Sampling: Event-sensitive autonomous adaptive sensing and low-cost monitoring in networked sensing systems

Author keywords

Adaptive sampling; Decentralized decision making; Decentralized signal processing; Energy efficiency; Event monitoring; Wireless sensor networks

Indexed keywords

COST REDUCTION; COSTS; DECISION MAKING; ENERGY EFFICIENCY; MONITORING; OBJECT DETECTION; SIGNAL PROCESSING; STRUCTURAL HEALTH MONITORING;

EID: 85016498736     PISSN: 15564665     EISSN: 15564703     Source Type: Journal    
DOI: 10.1145/2994150     Document Type: Article
Times cited : (90)

References (50)
  • 2
    • 84929378509 scopus 로고    scopus 로고
    • A data acquisition protocol for a reactive wireless sensor network monitoring application
    • April 2015
    • F. A. Aderohunmu, D. Brunelli, J. D. Deng, and M. K. Purvis. 2015. A data acquisition protocol for a reactive wireless sensor network monitoring application. Sensor 15, 2015 (April 2015), 10221-10254.
    • (2015) Sensor , vol.15 , Issue.2015 , pp. 10221-10254
    • Aderohunmu, F.A.1    Brunelli, D.2    Deng, J.D.3    Purvis, M.K.4
  • 3
    • 84975316904 scopus 로고    scopus 로고
    • Deploying wireless sensor networks with fault-tolerance for structural health monitoring
    • 2015
    • M. Z. A. Bhuiyan, G.Wang, J. Cao, and J.Wu. 2015a. Deploying wireless sensor networks with fault-tolerance for structural health monitoring. IEEE Transactions on Computers 64, 2 (2015), 382-395.
    • (2015) IEEE Transactions on Computers , vol.64 , Issue.2 , pp. 382-395
    • Bhuiyan, M.Z.A.1    Wang, G.2    Cao, J.3    Wu, J.4
  • 4
    • 76149122832 scopus 로고    scopus 로고
    • An adaptive sampling algorithm for effective energy management in wireless sensor networks with energy-hungry sensors
    • 2010
    • C. Alippi, G. Anastasi, M. Francesco, and M. Roveri. 2010. An adaptive sampling algorithm for effective energy management in wireless sensor networks with energy-hungry sensors. IEEE Transactions on Instrumentation and Measurement 59, 2 (2010), 335-344.
    • (2010) IEEE Transactions on Instrumentation and Measurement , vol.59 , Issue.2 , pp. 335-344
    • Alippi, C.1    Anastasi, G.2    Francesco, M.3    Roveri, M.4
  • 6
    • 84902655000 scopus 로고    scopus 로고
    • Sensor placement with multiple objectives for structural health monitoring
    • 2014
    • M. Z. A. Bhuiyan, G.Wang, J. Cao, and J.Wu. 2014. Sensor placement with multiple objectives for structural health monitoring. ACM Transactions on Sensor Networks 10, 4 (2014), 1-45.
    • (2014) ACM Transactions on Sensor Networks , vol.10 , Issue.4 , pp. 1-45
    • Bhuiyan, M.Z.A.1    Wang, G.2    Cao, J.3    Wu, J.4
  • 7
    • 84933038623 scopus 로고    scopus 로고
    • Local area prediction-based mobile target tracking in wireless sensor networks
    • 2015
    • M. Z. A. Bhuiyan, G. Wang, and A. V. Vasilakos. 2015b. Local area prediction-based mobile target tracking in wireless sensor networks. IEEE Transactions on Computers 64, 2 (2015), 1968-1982.
    • (2015) IEEE Transactions on Computers , vol.64 , Issue.2 , pp. 1968-1982
    • Bhuiyan, M.Z.A.1    Wang, G.2    Vasilakos, A.V.3
  • 9
    • 85016449696 scopus 로고    scopus 로고
    • Sensing and decision-making in cyber-physical systems: The case of structural health monitoring
    • 2016
    • M. Z. A. Bhuiyan, J. Wu, G. Wang, and J. Cao. 2016. Sensing and decision-making in cyber-physical systems: The case of structural health monitoring. IEEE Transactions on Industrial Informatics (2016), 1-11.
    • (2016) IEEE Transactions on Industrial Informatics , pp. 1-11
    • Bhuiyan, M.Z.A.1    Wu, J.2    Wang, G.3    Cao, J.4
  • 10
    • 33846692278 scopus 로고    scopus 로고
    • Solving maximum-entropy sampling problems using factored masks
    • 2007
    • S. Burer and J. Andlee. 2007. Solving maximum-entropy sampling problems using factored masks. Mathematical Programming 109, 2 (2007), 263-281.
    • (2007) Mathematical Programming , vol.109 , Issue.2 , pp. 263-281
    • Burer, S.1    Andlee, J.2
  • 11
    • 84890867674 scopus 로고    scopus 로고
    • An adaptive and autonomous sensor sampling frequency control scheme for energy-efficient data acquisition in wireless sensor networks
    • S. Chatterjea and P. J. M. Havinga. 2009. An adaptive and autonomous sensor sampling frequency control scheme for energy-efficient data acquisition in wireless sensor networks. In Proceedings of IEEE DCOSS. 60-78.
    • (2009) Proceedings of IEEE DCOSS , pp. 60-78
    • Chatterjea, S.1    Havinga, P.J.M.2
  • 12
    • 84861595048 scopus 로고    scopus 로고
    • Share risk and energy: Sampling and communication strategies for multi-camera wireless monitoring
    • Z. Chen, G. Barrenetxea, and M. Vetterli. 2012. Share risk and energy: Sampling and communication strategies for multi-camera wireless monitoring. In Proceedings of INFOCOM. 1862-1870.
    • (2012) Proceedings of INFOCOM , pp. 1862-1870
    • Chen, Z.1    Barrenetxea, G.2    Vetterli, M.3
  • 13
    • 34247335080 scopus 로고    scopus 로고
    • Energy-efficient data representation and routing for wireless sensor networks based on a distributed wavelet compression algorithm
    • A. Ciancio, P. Sundeep, O. Antonio, and K. Bhaskar. 2006. Energy-efficient data representation and routing for wireless sensor networks based on a distributed wavelet compression algorithm. In Proceedings of IEEE IPSN. 309-316.
    • (2006) Proceedings of IEEE IPSN , pp. 309-316
    • Ciancio, A.1    Sundeep, P.2    Antonio, O.3    Bhaskar, K.4
  • 15
    • 0041958932 scopus 로고
    • Ideal spatial adaptation by wavelet shrinkage
    • 1994
    • D. Donoho and I. Johnstone. 1994. Ideal spatial adaptation by wavelet shrinkage. Biometrica 81, 3 (1994), 425-455.
    • (1994) Biometrica , vol.81 , Issue.3 , pp. 425-455
    • Donoho, D.1    Johnstone, I.2
  • 19
    • 84941022918 scopus 로고    scopus 로고
    • Adaptive compressive sensing based sample scheduling mechanism for wireless sensor networks
    • 2015. Sept.
    • J. Hao, B. Zhang, Z. Jiao, and S. Mao. 2015. Adaptive compressive sensing based sample scheduling mechanism for wireless sensor networks. Pervasive and Mobile Computing 22, C (Sept. 2015), 113-125.
    • (2015) Pervasive and Mobile Computing , vol.22 , Issue.C , pp. 113-125
    • Hao, J.1    Zhang, B.2    Jiao, Z.3    Mao, S.4
  • 23
    • 67651071029 scopus 로고    scopus 로고
    • Decentralized control of adaptive sampling in wireless sensor networks
    • 2009
    • J. Kho, A. Rogers, and N. Jennings. 2009. Decentralized control of adaptive sampling in wireless sensor networks. ACM Transactions on Sensor Networks 5, 3 (2009), 1-35.
    • (2009) ACM Transactions on Sensor Networks , vol.5 , Issue.3 , pp. 1-35
    • Kho, J.1    Rogers, A.2    Jennings, N.3
  • 25
    • 77953296432 scopus 로고    scopus 로고
    • High quality sensor placement for SHM systems: Refocusing on application demands
    • B. Li, D. Wang, and Y. Q. Ni, F. Wang. 2010. High quality sensor placement for SHM systems: Refocusing on application demands. In Proceedings of INFOCOM. 1-9.
    • (2010) Proceedings of INFOCOM , pp. 1-9
    • Li, B.1    Wang, D.2    Ni, Y.Q.3    Wang, F.4
  • 27
    • 79960880277 scopus 로고    scopus 로고
    • Energy efficient clustering for WSN-based structural health monitoring
    • X. Liu, J. Cao, S. Lai, C. Yang, H. Wu, and Y. Xu. 2011. Energy efficient clustering for WSN-based structural health monitoring. In Proceedings of INFOCOM. 2768-2776.
    • (2011) Proceedings of INFOCOM , pp. 2768-2776
    • Liu, X.1    Cao, J.2    Lai, S.3    Yang, C.4    Wu, H.5    Xu, Y.6
  • 29
    • 77955908864 scopus 로고    scopus 로고
    • Adaptive sampling and diversity reception in multi-hop wireless audio sensor networks
    • H. Luo, J. Wang, Y. Sun, H. Ma, and X.-Y. Li. 2010. Adaptive sampling and diversity reception in multi-hop wireless audio sensor networks. In Proceedings of IEEE ICDCS. 378-387.
    • (2010) Proceedings of IEEE ICDCS , pp. 378-387
    • Luo, H.1    Wang, J.2    Sun, Y.3    Ma, H.4    Li, X.-Y.5
  • 32
    • 84869852215 scopus 로고    scopus 로고
    • A decentralized quality aware adaptive sampling strategy in wireless sensor networks
    • A. Masoum, N. Meratnia, and P. J. M. Havinga. 2012. A decentralized quality aware adaptive sampling strategy in wireless sensor networks. In Proceedings of UIC/ATC. 298-305.
    • (2012) Proceedings of UIC/ATC , pp. 298-305
    • Masoum, A.1    Meratnia, N.2    Havinga, P.J.M.3
  • 34
  • 35
    • 59349093099 scopus 로고    scopus 로고
    • Technology innovation in developing the structural health monitoring system for Guangzhou New TV Tower
    • 2009
    • Y. Ni, Y. Xia, W. Liao, and J. Ko. 2009. Technology innovation in developing the structural health monitoring system for Guangzhou New TV Tower. Structural Control and Health Monitoring 16, 1 (2009), 73-98.
    • (2009) Structural Control and Health Monitoring , vol.16 , Issue.1 , pp. 73-98
    • Ni, Y.1    Xia, Y.2    Liao, W.3    Ko, J.4
  • 36
    • 34047156164 scopus 로고    scopus 로고
    • Design guidelines for maximizing lifetime and avoiding energy holes in sensor networks with uniform distribution and uniform reporting
    • S. Olariu and I. Stojmenovic. 2006. Design guidelines for maximizing lifetime and avoiding energy holes in sensor networks with uniform distribution and uniform reporting. In Proceedings of INFOCOM. 1-9.
    • (2006) Proceedings of INFOCOM , pp. 1-9
    • Olariu, S.1    Stojmenovic, I.2
  • 39
    • 67249127532 scopus 로고    scopus 로고
    • Optimal sampling rate assignment with dynamic route selection for real-time wireless sensor networks
    • W. Shu, X. Liu, Z. Gu, and S. Gopalakrishnan. 2008. Optimal sampling rate assignment with dynamic route selection for real-time wireless sensor networks. In Proceedings of IEEE RTSS. 431-441.
    • (2008) Proceedings of IEEE RTSS , pp. 431-441
    • Shu, W.1    Liu, X.2    Gu, Z.3    Gopalakrishnan, S.4
  • 40
    • 85032751310 scopus 로고    scopus 로고
    • The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
    • 2013
    • D. I. Shuman, S. K. Narang, P. Frossard, A. Ortega, and P. Vandergheynst. 2013. The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains. Signal Processing Magazine 30, 3 (2013), 83-98.
    • (2013) Signal Processing Magazine , vol.30 , Issue.3 , pp. 83-98
    • Shuman, D.I.1    Narang, S.K.2    Frossard, P.3    Ortega, A.4    Vandergheynst, P.5
  • 44
    • 85016479268 scopus 로고    scopus 로고
    • Homepage
    • T2 on Imote2. 2010. Homepage. Retrieved from http://tinyos.stanford.edu/tinyos-wiki/index.php/T2-on-Imote2.
    • (2010) T2 on Imote2
  • 46
    • 77449157544 scopus 로고    scopus 로고
    • Two-level cooperative and energy-efficient tracking algorithm in wireless sensor networks
    • 2010
    • G.Wang,M. Z. A. Bhuiyan, and Z. Li. 2010a. Two-level cooperative and energy-efficient tracking algorithm in wireless sensor networks. Concurrency and Computation: Practice & Experience 22, 4 (2010), 518-537.
    • (2010) Concurrency and Computation: Practice & Experience , vol.22 , Issue.4 , pp. 518-537
    • Wang, G.1    Bhuiyan, Z.A.2    Li, Z.3
  • 47
    • 77954026139 scopus 로고    scopus 로고
    • Energy-efficient data gathering in wireless sensor networks with asynchronous sampling
    • 2010
    • J. Wang, Y. Liu, and S. K. Das. 2010b. Energy-efficient data gathering in wireless sensor networks with asynchronous sampling. ACM Transactions on Sensor Networks 6, 3 (2010), 1-44.
    • (2010) ACM Transactions on Sensor Networks , vol.6 , Issue.3 , pp. 1-44
    • Wang, J.1    Liu, Y.2    Das, S.K.3
  • 50
    • 84954241252 scopus 로고    scopus 로고
    • Supporting Wi-Fi and LTE co-existence
    • S. Yun and L. Qiu. 2015. Supporting Wi-Fi and LTE co-existence. In Proceedings of INFOCOM 2015. 1-9.
    • (2015) Proceedings of INFOCOM 2015 , pp. 1-9
    • Yun, S.1    Qiu, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.