Abstract
Coverage is a significant performance indicator of wireless sensor networks. Data redundancy in k-coverage raises a set of issues including network congestion, coverage reduction, energy inefficiency, among others. To address these issues, this paper proposes a novel algorithm called complex alliance strategy with multi-objective optimization of coverage (CASMOC) which could improve node coverage effectively. This paper also gives the proportional relationship of the energy conversion function between the working node and its neighbors, and applies this relationship in scheduling low energy mobile nodes, thus achieving energy balance of the whole network, and optimizing network resources. The extensive simulation results demonstrate that CASMOC could not only improve the quality of network coverage, but also mitigate rapid node energy consumption effectively, thereby extending the life cycle of the network significantly.

























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Acknowledgments
Projects (61170245, U1304603) supported by the National Natural Science Foundation of China; Projects (2014B520099, 2014A510009) supported by Henan Province Education Department Natural Science Foundation; Projects (142102210471, 142102210063, 142102210568) supported by Natural Science and Technology Research of Foundation Project of Henan Province Department of Science; Project (1401037A) supported by Natural Science and Technology Research of Foundation Project of Luoyang Department; Project (2014M562153) supported by Postdoctoral Science Foundation of China; Project (2012GGJS-191) supported by the funding scheme for youth teacher of Henan Province; Project (1201430560) supported by Guangzhou Education Bureau Science Foundation. This paper was also supported by China Postdoctoral Science Foundation (Nos. 2013M542370, 2014M562153) and the Specialized Research Fund for the Doctoral Program of Higher Education of China (Grant No. 20136118120010).
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Sun, Z., Zhang, Y., Nie, Y. et al. CASMOC: a novel complex alliance strategy with multi-objective optimization of coverage in wireless sensor networks. Wireless Netw 23, 1201–1222 (2017). https://doi.org/10.1007/s11276-016-1213-3
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DOI: https://doi.org/10.1007/s11276-016-1213-3