Issue No. 09 - Sept. (2012 vol. 23)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TPDS.2012.99
Yu Gu , National Institute of Informatics, Tokyo
Yusheng Ji , National Institute of Informatics, Tokyo
Jie Li , University of Tsukuba, Tsukuba Science City
Baohua Zhao , State Key Laboratory of Networking and Switching Technology, Beijing and University of Science and Technology of China, Hefei
As a promising way in surveillance applications, wireless sensor networks (WSNs) often encounter the target coverage (TC) problem, i.e., scheduling energy-limited sensors to monitor physical targets to prolong the network lifetime. Due to the complexity of the problem (scheduling in time domain), previous proposals mainly focus on heuristics and provable optimal algorithms remain unknown. In this paper, we fill in the research blank by providing several theoretical results. First, we present a mathematical formulation and several investigations of the problem in time domain. Such time-related results provide fundamental understandings of the problem and serve as a basis. Second, we offer an upper bound on the network lifetime derived from the time-dependant formulation. The bound, which is solvable in polynomial-time, serves as a performance benchmark. Third, we verify the set cover-based method, which is widely used by previous studies, via a transformation of the problem from time to space domain. Lastly, we offer a specialized nonlinear column generation (CG) based approach to solve the problem in space domain optimally. Simulation results show that not only the bound is effective, but also the CG-based approach offers significant improvement on the network lifetime over a brutal search algorithm and a state-of-art heuristic.
Monitoring, Wireless sensor networks, Upper bound, Energy consumption, Heuristic algorithms, Time domain analysis, Sensors, lifetime upper bound, Monitoring, Wireless sensor networks, Upper bound, Energy consumption, Heuristic algorithms, Time domain analysis, Sensors, specialized nonlinear column generation., Target coverage, wireless sensor networks
Y. Gu, J. Li, Y. Ji and B. Zhao, "Covering Targets in Sensor Networks: From Time Domain to Space Domain," in IEEE Transactions on Parallel & Distributed Systems, vol. 23, no. , pp. 1643-1656, 2012.