Paper Info
Title
Genetic Programming for Lifetime Maximization in Wireless Sensor Networks with a Mobile Sink.
Abstract
Maximizing the lifetime of Wireless Sensor Network (WSN) with a mobile sink is a challenging and important problem that has attracted increasing research attentions. In the literature, heuristic based approaches have been proposed to solve the problem, such as the Greedy Maximum Residual Energy (GMRE) based method. However, existing heuristic based approaches highly rely on expert knowledge, which makes them inconvenient for practical applications. Taking this cue, in this paper, we propose an automatic method to construct heuristic for sink routing based on Genetic Programming (GP) approach. Empirical study shows that the proposed method can generate promising heuristics that achieve superior performance against existing methods with respect to the global lifetime of WSN.
Year
Venue
Field
2017
SEAL
Key distribution in wireless sensor networks,Heuristic,Mathematical optimization,Computer science,Genetic programming,Heuristics,Mobile wireless sensor network,Wireless sensor network,Maximization,Sink (computing)
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
15
4
Name
Order
Citations
PageRank
Ying Li100.68
Zhixing Huang210115.47
Jing-hui Zhong338033.00
Liang Feng460148.54