A Hybrid Energy-Efficient Itinerary Planning for Mobile Agents in Wireless Sensor Networks
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Wireless sensor networks (WSNs) are limited to resources including computing power, storage capacity, and especially energy supply. Thus, energy consumption of sensor nodes has become a dominant performance index for a WSN. In addition, data transmission between sensor nodes is a main energy consumer of WSNs. This paper presents a method called immune genetic algorithm based multiple-mobile-agent itinerary planning (IGA-M2IP) that addresses issues of energy consumption in large-scale WSNs. The IGA-M2IP preserves a GA’s advantages, and further improves a GA’s efficiency by restraining possible degenerative phenomena during the evolutionary process.
2008 ◽
Vol 4
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pp. 315-346
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Vol 7
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pp. 347
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2020 ◽
Vol 10
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pp. 94-109
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2019 ◽
Vol 8
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pp. 128-132
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2020 ◽
2021 ◽
Vol 13
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pp. 1-20