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Research on Routing Algorithm Based on Ant Colony Optimization for Wireless Sensor Networks

机译:基于无线传感器网络蚁群优化的路由算法研究

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Routing algorithm based on ant colony optimization for wireless sensor networks has the ant colony algorithm characteristics of self-organization, the positive feedback and the parallelism, which has good performance in constructing the optimal routing. In this paper, the distance for stimulating factor is improved, the communication distance is introduced and the pheromone update methods having the rewards and punishment mechanism are adopted, which can make better use of residual energy for wireless sensor networks nodes, prolong life of network and guarantee the effect of the optimization algorithm.
机译:基于蚁群优化的无线传感器网络的路由算法具有自组织,正反馈和并行性的蚁群算法特征,具有良好的性能构造最佳路由。在本文中,提高了刺激因子的距离,引入了通信距离,采用了具有奖励和惩罚机制的信息素更新方法,这可以更好地利用无线传感器网络节点的剩余能量,延长网络寿命和网络保证优化算法的效果。

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