Energy optimization of ant colony algorithm in wireless sensor network

Peng Li, Huqing Nie, Lingfeng Qiu and Ruchuan Wang

International Journal of Distributed Sensor Networks, 2017, vol. 13, issue 4, 1550147717704831

Abstract: An energy consumption optimization algorithm based on ant colony algorithm is proposed for wireless sensor network. The proposed algorithm allows each node in wireless sensor network to save the distance and residual energy of neighbor nodes. Furthermore, in terms of probability selection of the nodes and the pheromone update, this algorithm focuses on the next hop node through the comparison of distance between the nodes and the residual energy, which ensures less possibility of nodes with low energy selected as the next hop. Therefore, the proposed algorithm improves energy load balancing, stability of wireless sensor network and, eventually, extends the life span of the wireless sensor network. The simulation results show that the improved ant colony algorithm avoids too much energy consumption of a certain local node resulting in more uniform energy consumption for each node.

Keywords: Wireless sensor network; ant colony algorithm; pheromone concentration; energy load balancing; optimization probability (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:13:y:2017:i:4:p:1550147717704831

DOI: 10.1177/1550147717704831

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