An Energy-Saving Routing Strategy Based on Ant Colony Optimization in Wireless Sensor Networks

被引:1
|
作者
Qu, Wei [1 ]
Wang, Xiaowei [1 ]
机构
[1] Shenyang Normal Univ, Shenyang 110034, Liaoning, Peoples R China
关键词
Wireless sensor networks (WSN); Ant colony optimization (ACO); Optimization rule of dynamic state transformation; Mechanisms of rewards and penalties;
D O I
10.1007/978-3-319-61824-1_30
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Focus on the problem of finding the optimal path in wireless sensor networks (WSN), considering energy saving requirement, an energy-saving routing strategy based on ant colony optimization (DERS-ACO) is proposed. Our strategy designs the optimization rule of dynamic state transformation, and introduces the mechanism of rewards and penalties which further saves the search time and increase the probability of optimal path search, and prolongs lifetime of network greatly. Simulation showed that the searching probability of a global for the optimal solution is increased, and the global optimal solution is obtained quickly and effectively, furthermore the energy consumption of the nodes is saved, which will prolong the lifetime of network greatly.
引用
收藏
页码:277 / 284
页数:8
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