XIAO Shuo, LI Tianxu, TANG Chaogang, et al., “Coverage Adaptive Optimization Algorithm of Static-Sensor Networks for Target Discovery,” Chinese Journal of Electronics, vol. 28, no. 2, pp. 398-403, 2019, doi: 10.1049/cje.2018.02.009
Citation: XIAO Shuo, LI Tianxu, TANG Chaogang, et al., “Coverage Adaptive Optimization Algorithm of Static-Sensor Networks for Target Discovery,” Chinese Journal of Electronics, vol. 28, no. 2, pp. 398-403, 2019, doi: 10.1049/cje.2018.02.009

Coverage Adaptive Optimization Algorithm of Static-Sensor Networks for Target Discovery

doi: 10.1049/cje.2018.02.009
Funds:  This work is supported by the Natural Science Foundation of Jiangsu Province (No.BK20150193, No.BK20150201) and the National Natural Science Foundation of China (No.U1534208).
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  • Corresponding author: CAO Yuan (corresponding author)received his B.S. degree in Electric Engineering and Automation from Dalian Jiaotong University and Ph.D. degree in Traffic Information Engineering and Control from Beijing Jiaotong University in 2004 and 2011 respectively, where he is now an associate professor. Since 2006, he has participated in many engineering practice, especially in the signal and communication system of high-speed railway. He has taken part in several key national research projects in the field of high-speed train control system. His research interests include fault diagnosis in train control systems. (Email:ycao@bjtu.edu.cn)
  • Received Date: 2017-06-19
  • Rev Recd Date: 2017-08-02
  • Publish Date: 2019-03-10
  • Sensor networks contain a large number of nodes that can perceive changes of external environment, which makes sensor networks particularly suitable for target tracking and discovery. In practical applications, once the sensor nodes are arranged, it is difficult to move them. We focus on analysing the target discovery ability of static-sensor networks. We divided the target into two kinds, one is persistent target and the other is instantaneous target. We investigate target discovery probability and discovery delay with different nodes density, sensing range and duty cycle. Energy saving is still the most important problem for the applications of sensor networks. Balancing target discovery capability and lifetime of the whole sensor network is necessary. Based on the theoretical analysis, we propose a coverage adaptive optimization algorithm that significantly prolongs the life of sensor networks. Simulation results show the advantage of coverage adaptive optimization algorithm over previous proposed methods.
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  • T. Amgoth and P.K. Jana, “Energy-aware routing algorithm for wireless sensor networks”, Computers & Electrical Engineering, Vol.41, No.2, pp.357-367, 2015.
    B. Dujdow, Deligiannis, Nikos, et al., “Convergence of synchronization primitives in wireless sensor networks”, IEEE Transactions on Signal Processing, Vol.63, No.1, pp.221-233, 2015.
    C.L. Yang and K.W. Chin, “On complete target coverage in wireless sensor networks with random recharging rates”, IEEE Wireless Communications Letters, Vol.4, No.1, pp.50-53, 2015.
    A. Ghosal and S. Halder, “Intrusion detection in a tailor-made gaussian distribution wireless sensor networks”, Distributed Computing and Internet Technology, Durgapur, India, pp.325-330, 2015.
    A. Iqbal and M. Murshed, “A hybrid wireless sensor network frame work for range-free event localization”, Ad Hoc Networks, Vol.27, No.C, pp.81-98, 2015.
    J.S. Leu, T.H. Chiang, M.C. Yu, et al., “Energy efficient clustering scheme for prolonging the lifetime of wireless sensor network with isolated nodes”, IEEE Communications Letters, Vol.19, No.2, pp.259-262, 2015.
    S. Liang and D. Hatzinakos. “A cross-layer architecture of wireless sensor networks for target tracking”, IEEE Transaction on Networking, Vol.15, No.1, pp.145-158, 2007.
    S. Misra, G. Mali and A. Mondal, “Distributed topology management for wireless multimedia sensor networks: Exploiting connectivity and cooperation”, International Journal of Communication Systems, Vol.28, No.7, pp.1367-1386, 2015.
    M. Liu, B. Liu and Y. Wen, “An efficient data evacuation strategy for sensor networks in post disaster applications”, International Journal of Distributed Sensor Networks. Vol.2013, Article ID 718297, 12 pages, 2013.
    T. Li, M.K. Han, A. Bhartia, et al., “CRMA: Collisionresistant multiple access”, Proc. of the 17th Annual International Conference on Moblile Computing and Networking (MobiCom’11), Las Vegas, Nevada, USA, pp.342-348, 2011.
    P. Misra, S. Kanhere, D. Ostry, et al., “Safety assurance and rescue communication systems in high-stress environments: A mining case study”, IEEE Communications Magazine, Vol.48, No.4, pp.66-73, 2010.
    F. Santoso, “Range-only distributed navigation protocol for uniform coverage in wireless sensor networks”, IET Wireless Sensor Systems, Vol.5, No.1, pp.20-30, 2015.
    J.L. Wang, “On the delay performance in large scale wireless sensor network: measurement, analysis, and implications”, IEEE/ACM Transactions on Networking, Vol.23, No.1, pp.186-197, 2015.
    W.B. Heinzelman and A.P. Chandrakasan, “An applicationspecific protocol architecture for wireless micro sensor networks”, IEEE Transaction on Wireless Communication, Vol.1, No.4, pp.660-670, 2002.
    S. Xiao and Z.O. Xu, “Reliable and energy efficient Communication algorithm in hierarchical wireless sensor networks”, Wireless Personal Communications, Vol.95, No.3, pp.1891-1909, 2017.
    S. Xiao, W. Li, H.F. Jiang, et al., “Trajectory prediction for target tracking using acoustic and image hybrid wireless multimedia sensors networks”, Multimedia Tools and Applications, DOI: 10.1007/s11042-017-4846-z.
    J. Shu, S. Liu, L.L. Liu, et al., “Research on link quality estimation mechanism for wireless sensor networks based on support vector machine”, Chinese Journal of Electronics, Vol.26, No.2, pp.377-384, 2017.
    D.R. Zhu, J.H. Han, J. Ou, et al., “Single beacon cruise positioning algorithm in wireless sensor networks”, Chinese Journal of Electronics, Vol.22, No.3, pp.558-562, 2013.
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