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Journal of Sensors
Volume 2016, Article ID 2347267, 11 pages
http://dx.doi.org/10.1155/2016/2347267
Research Article

A New Energy-Efficient Coverage Control with Multinodes Redundancy Verification in Wireless Sensor Networks

1School of Computer and Information Engineering, Luoyang Institute of Science and Technology, Henan 471023, China
2School of Electronics and Information Engineering, Xi’an Jiaotong University, Shaanxi 710049, China
3School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast BT95AH, UK
4School of Computer Science and Educational Software, Guangzhou University, Guangdong 510006, China
5Department of Engineering, Jacksonville University, 2800 University Blvd N, Jacksonville, FL 32211, USA

Received 5 September 2016; Accepted 27 October 2016

Academic Editor: Jesus Corres

Copyright © 2016 Zeyu Sun et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The target nodes are -covered by the sensor nodes; there will be a lot of redundant data forcing the phenomenon of congestion which lowers the network communication capability and coverage and accelerates network energy consumption. Therefore, this paper proposes an energy-efficient coverage control with multinodes redundancy verification (ECMRV). The algorithm constructs the coverage network model by using the positional relationship among the sensor nodes, and the proof procedure of the sector coverage expected value of the monitoring area also has been provided. On the aspect of the energy consumption, this paper gives the proportion of energy conversion functions between the working sensor nodes and the neighboring sensor nodes. And by using the function proportional to schedule the sensor nodes with low energy, we achieve the energy balance of the whole network and the optimization of the network resources. Finally, the simulation experiments indicate that this algorithm can not only improve the quality of network coverage, but completely inhibit the rapid energy consumption of the sensor nodes as well; as a result, the network lifetime extends, which has verified availability and stability of the algorithm in the paper.