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针对蚁群算法(Ant Colony System,ACS)在无线传感器网络路由中对网络拥塞问题和能量控制方面的不足,提出了一种改进的蚁群算法。该算法将蚁群的信息素与网络节点的能量结合起来,在蚁群算法收敛的同时,通过动态地调整信息素来减少其最优路径上的信息素浓度,通过采用最优、最差路径信息素全局更新策略加快搜索速度,避免了网络拥塞和个别节点能量消耗过快的问题,从而延长了整个网络的生命周期。通过实验验证了该方法的可行性,并给出了实验结果。
Ant Colony System (ACS) proposed an improved ant colony algorithm for network congestion problem and energy control in wireless sensor network routing. The algorithm combines the energy of the ant colony’s pheromone and the network node. While the ant colony algorithm converges, the pheromone concentration is reduced by adjusting the pheromone dynamically. By using the optimal and worst path information Global update strategy to speed up the search speed, to avoid network congestion and individual node energy consumption is too fast, thus extending the life cycle of the entire network. The feasibility of this method is verified by experiments and the experimental results are given.