• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

EBKCCA: A Novel Energy Balanced k-Coverage Control Algorithm Based on Probability Model in Wireless Sensor Networks


Abstract

In the process of k-coverage of the target node, there will be a lot of data redundancy forcing the phenomenon of congestion which reduces network communication capability and coverage, and accelerates network energy consumption. Therefore, this paper proposes a novel energy balanced k-coverage control algorithm based on probability model (EBKCCA). The algorithm constructs the coverage network model by using the positional relationship between the nodes. By analyzing the network model, the coverage expected value of nodes and the minimum number of nodes in the monitoring area are given. In terms of energy consumption, this paper gives the proportion of energy conversion functions between working nodes and neighboring nodes. By using the function proportional to schedule low energy nodes, we achieve the energy balance of the whole network and optimizing network resources. The last simulation experiments indicate that this algorithm can not only improve the quality of network coverage, but also completely inhibit the rapid energy consumption of node, and extend the network lifetime.


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Cite this article

[IEEE Style]
Zeyu Sun, Yongsheng Zhang, Xiaofei Xing, Houbing Song, Huihui Wang and Yangjie Cao, "EBKCCA: A Novel Energy Balanced k-Coverage Control Algorithm Based on Probability Model in Wireless Sensor Networks," KSII Transactions on Internet and Information Systems, vol. 10, no. 8, pp. 3621-3640, 2016. DOI: 10.3837/tiis.2016.08.011

[ACM Style]
Sun, Z., Zhang, Y., Xing, X., Song, H., Wang, H., and Cao, Y. 2016. EBKCCA: A Novel Energy Balanced k-Coverage Control Algorithm Based on Probability Model in Wireless Sensor Networks. KSII Transactions on Internet and Information Systems, 10, 8, (2016), 3621-3640. DOI: 10.3837/tiis.2016.08.011