Coverage and connectivity aware energy efficient scheduling in target based wireless sensor networks: an improved genetic algorithm based approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems
Link
http://link.springer.com/content/pdf/10.1007/s11276-018-1792-2.pdf
Reference43 articles.
1. Yick, J., Mukherjee, B., & Ghosal, D. (2008). Wireless sensor network survey. Computer Networks, 52(12), 2292–2330.
2. Rault, T., Bouabdallah, A., & Challal, Y. (2014). Energy efficiency in wireless sensor networks: A top-down survey. Computer Networks, 67, 104–122.
3. Yigitel, M. A., Incel, O. D., & Ersoy, C. (2011). QoS-aware MAC protocols for wireless sensor networks: A survey. Computer Networks, 55(8), 1982–2004.
4. Kuila, P., & Jana, P. K. (2015). Heap and parameter-based load balanced clustering algorithms for wireless sensor networks. International Journal of Communication Networks and Distributed Systems, 14(4), 413–432.
5. Kuila, P., & Jana, P. K. (2014). A novel differential evolution based clustering algorithm for wireless sensor networks. Applied Soft Computing, 25, 414–425.
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