To reduce the uneven energy consumption for the data transmission and extend network life of intelligent community sensor network, an adaptive routing optimized algorithm for intelligent community sensor networks with cluster head election is proposed. In this algorithm, a three‐dimensional clustering method adapted to the structure of intelligent community sensor network is proposed. The three‐dimensional clustering method uses the cluster head election mechanism based on minimizing the total transmission loss to optimize the energy of the intelligent community sensor network. Second, an adaptive ant colony propagation method is proposed to solve the problem of intercluster data propagation after clustering. With the best path finding algorithm of ant colony algorithm, energy balance routing with lower energy loss and lower packet error rate is proposed. Finally, the simulation results show that the algorithm has better performance in reducing energy consumption and delay, improving transmission efficiency and node survival time.

中文翻译：

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基于簇头选举的自适应优化智能社区传感器网络路由算法研究

为减少智能社区传感器网络数据传输的不均衡能耗，延长网络寿命，提出了一种带簇头选举的智能社区传感器网络自适应路由优化算法。该算法提出了一种适应智能社区传感器网络结构的三维聚类方法。三维聚类方法采用基于总传输损耗最小化的簇头选举机制来优化智能社区传感器网络的能量。其次，提出了一种自适应蚁群传播方法来解决聚类后的簇间数据传播问题。结合蚁群算法的最佳寻路算法，提出了具有较低能量损失和较低误包率的能量平衡路由。最后，仿真结果表明，该算法在降低能耗和延迟、提高传输效率和节点存活时间方面具有较好的性能。