Title | ||
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Intelligent Relay Node Placement In Heterogeneous Wireless Sensor Networks For Energy Efficiency |
Abstract | ||
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At present, wireless sensor networks (WSNs) are widely used due to their low-cost devices and its easy deployment. Such networks have an important constraint: WSNs are particularly sensitive to energy consumption. This paper focuses on how to add routers to a previously established static WSN to simultaneously optimize two important features: energy consumption and covered area. This np-hard multi-objective optimization problem was solved by evolutionary computation, considering two well-known multi-objective genetic algorithms (NSGA-II and SPEA2), and a multi-objective adaptation of a novel swarm intelligence algorithm based on the behaviour of an artificial bee colony (ABC). The results obtained are analyzed in depth by means of a widely used statistical methodology that considers two multi-objective quality indicators: hypervolume and set coverage. We conclude that ABC provides better performance than standards NSGA-II and SPEA2. In addition, a comparative study is added where the gains in fitness values from including relay nodes are shown. |
Year | DOI | Venue |
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2014 | 10.2316/Journal.206.2014.3.206-4006 | INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION |
Keywords | DocType | Volume |
Artificial bee colony, energy consumption, NSGA-II, relay node, SPEA2, wireless sensor networks | Journal | 29 |
Issue | ISSN | Citations |
3 | 0826-8185 | 1 |
PageRank | References | Authors |
0.35 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
José Manuel Lanza-Gutiérrez | 1 | 71 | 9.31 |
Juan Antonio Gómez-Pulido | 2 | 334 | 43.02 |
Miguel A. Vega-Rodríguez | 3 | 741 | 113.05 |