Author(s)

Bo Yang, Qinggong Ma, Jipeng Wang

Changzhou University Huaide College, Jingjiang, China.

This article puts forward the routing algorithm of wireless sensor network based on ant colony optimization. The algorithm uses the characteristics of ant colony algorithm that is easy to realize local work, integrates link quality into the pheromone formation and supports multiple routes. When choosing routing, the probability is calculated that the node is selected as the next hop according to the pheromone concentration on the route. The ant colony optimization is self-organized, dynamic and multi-path, so it is very suitable for the routing of wireless sensor network. This algorithm has low routing cost, good self-adaption and supports multiple paths. It can balance energy consumption of the network and prolong the survival time of the network. The thesis makes comparative analysis of the simulation experiment and experimental result, proves that the ant colony algorithm can find the optimal routing in wireless sensor network and reaches the design objective of routing algorithm of wireless sensor network.

Wireless Sensor Network, Routing Algorithm, Ant Colony Optimization

Yang, B. , Ma, Q. and Wang, J. (2016) Study on the Routing Technology of Wireless Sensor Network Based on Ant Colony Optimization. Journal of Sensor Technology, 6, 141-158. doi: 10.4236/jst.2016.64011.