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Energy optimization of ant colony algorithm in wireless sensor network

Author

Listed:
  • Peng Li
  • Huqing Nie
  • Lingfeng Qiu
  • Ruchuan Wang

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.

Suggested Citation

  • Peng Li & Huqing Nie & Lingfeng Qiu & Ruchuan Wang, 2017. "Energy optimization of ant colony algorithm in wireless sensor network," International Journal of Distributed Sensor Networks, , vol. 13(4), pages 15501477177, April.
    • Handle: RePEc:sae:intdis:v:13:y:2017:i:4:p:1550147717704831
    DOI: 10.1177/1550147717704831
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    References listed on IDEAS

    as
    1. Ehsan Amiri & Hassan Keshavarz & Mojtaba Alizadeh & Mazdak Zamani & Touraj Khodadadi, 2014. "Energy Efficient Routing in Wireless Sensor Networks Based on Fuzzy Ant Colony Optimization," International Journal of Distributed Sensor Networks, , vol. 10(7), pages 768936-7689, July.
    2. Mengjun Tong & Yangli Chen & Fangxiang Chen & Xiaoping Wu & Guozhong Shou, 2015. "An Energy-Efficient Multipath Routing Algorithm Based on Ant Colony Optimization for Wireless Sensor Networks," International Journal of Distributed Sensor Networks, , vol. 11(6), pages 642189-6421, June.
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