Algorithm of Wireless Sensor Networks Cluster-head Selection Based on Sensing Coverage

doi:10.3969/j.issn.1006-2475.2014.05.012

Abstract

Abstract: Energy efficiency and sensing coverage are two important issues need to be concerned in wireless sensor networks. In this paper, we introduce correlation-node number as a parameter to improve the cluster-head selection of LEACH protocol. According to the simulation results, the proposed algorithm can prolong the network lifetime and the effective operating time of the whole network.
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Key words: wireless sensor networks, energy efficiency, sensing coverage, cluster-head selection

CLC Number:

TN915

PENG Pei1， XIONG Yong1,2. Algorithm of Wireless Sensor Networks Cluster-head Selection Based on Sensing Coverage[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2014.05.012.

References ［16］

［1］	Yick J, Mukherjee B, Ghosal D. Wireless sensor network survey［J］. Computer Networks, 2008,52(12):2292-2330.
［2］	Schurgers C, Srivastava M B. Energy efficient routing in wireless sensor networks［C］// Proc. of Military Communications Conference. Mclean: IEEE Press, 2001,1:357-361.
［3］	Werner-Allen G, Lorincz K, Ruiz M, et al. Deploying a wireless sensor network on an active volcano［J］. IEEE Internet Computing, 2006,10(2):18-25.
［4］	Huang C F, Tseng Y C. The coverage problem in a wireless sensor network［J］. Mobile Networks and Applications, 2005,10(4):519-528.
［5］	Akyildiz I F, Su W, Sankarasubramaniam Y, et al. Wireless sensor networks: A survey［J］. Computer Networks, 2002,38(4):393-422.
［6］	Akkaya K, Younis M. A survey on routing protocols for wireless sensor networks［J］. Ad Hoc Networks, 2005,3(3):325-349.
［7］	Heinzelman W R, Chandrakasan A, Balakrishnan, H. Energy-efficient communication protocol for wireless microsensor networks［C］// Proceedings of the 33rd Annual Hawaii International Conference on System Sciences. 2000,8:8020.
［8］	Lindsey S, Raghavendra C S. PEGASIS: Power-efficient gathering in sensor information systems［C］// Proc. of IEEE Aerospace Conference. 2002,3:1125-1130.
［9］	Manjeshwar A, Agrawal D P. TEEN: A routing protocol for enhanced efficiency in wireless sensor networks［C］// Proc. of the 15th International Parallel & Distributed Processing Symposium. 2000:2009-2015.
［10］	Tillapart P, Thumthawatworn T, Pakdeepinit P, et al. Method for cluster heads selection in wireless sensor networks［C］// Proc. of IEEE Aerospace Conference. 2004,6:3615-3623.
［11］	Thein M C M, Thein T. An energy efficient cluster-head selection for wireless sensor networks［C］// 2010 International Conference on Intelligent Systems, Modelling and Simulation. 2010:287-291.
［12］	Li Y L, Ding L W, Liu F. The improvement of LEACH protocol in WSN［C］// 2011 International Conference on Computer Science and Network Technology. 2011,2:1345-1348.
［13］	Perillo M, Heinzelman W. DAPR: A protocol for wireless sensor networks utilizing an application-based routing cost［C］// Proc. of IEEE Wireless Communications and Networking Conference. 2004,3:1540-1545.
［14］	Tsai Y R. Coverage-preserving routing protocols for randomly distributed wireless sensor networks［J］. IEEE Transactions on Wireless Communications, 2007,6(4):1240-1245.
［15］	Nghiem T P, Kim J H, Lee S H, et al. A coverage and energy aware cluster-head selection algorithm in wireless sensor networks［J］. Lecture Notes in Computer Science, 2009,5754:696-705.
［16］	Heinzelman W B, Chandrakasan A P, Balakrishnan H. An application-specific protocol architecture for wireless microsensor networks［J］. IEEE Transactions on Wireless Communications, 2002,1(4):660-670.

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