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Journal of Sensors
Volume 2018 (2018), Article ID 4839090, 8 pages
https://doi.org/10.1155/2018/4839090
Research Article

An Improved Niche Chaotic Genetic Algorithm for Low-Energy Clustering Problem in Large-Scale Wireless Sensor Networks

1College of Information Science and Technology, Shihezi University, Shihezi, Xinjiang 832003, China
2The Key Laboratory of Oasis Ecological Agriculture of Xinjiang Production and Construction Group, Shihezi University, Shihezi, Xinjiang 832003, China

Correspondence should be addressed to Xin Lv; moc.621@zhsxl

Received 4 October 2017; Revised 13 January 2018; Accepted 6 February 2018; Published 1 April 2018

Academic Editor: Jaime Lloret

Copyright © 2018 Min Tian 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.

How to Cite this Article

Min Tian, Jie Zhou, and Xin Lv, “An Improved Niche Chaotic Genetic Algorithm for Low-Energy Clustering Problem in Large-Scale Wireless Sensor Networks,” Journal of Sensors, vol. 2018, Article ID 4839090, 8 pages, 2018. doi:10.1155/2018/4839090