WSN中利用蚁群路径优化的时隙选择重排算法

针对无线传感器网络(WSN)汇聚传输中的数据传输时间和功耗问题,提出了考虑时间同步和唤醒延迟的汇聚传输时隙选择重排算法。将时分多址接入(TDMA)用作介质访问协议,并允许每个节点在传输时隙期间可以发送或接收数据；设计新的WSN数据收集树模型,将传感器节点生成的数据通过无线链路形成的多跳网络发送到汇聚节点,在数据收集树的每条链路上分析时隙顺序,优化时隙选择,并基于蚁群算法优化路径选择,减少传输能量消耗和均衡簇头能量。实验结果表明,提出的算法可以实现显著的数据传输性能提高和功耗节约。

Time slot selection and rearrangement algorithm using Ant Colony Optimization in WSN

In order to solve the problem of data transmission time and power consumption in wireless sensor networks (WSN), a new algorithm of time slot synchronization considering time synchronization and wake delay is proposed. The time division multiple access (TDMA) is used as a medium access protocol to allow each node can send or receive data in the transmission time slot. The new WSN data collection tree model is designed to transmit data generated by sensor nodes through multi hop network of the wireless link, and analysis slot order in each link of the tree of collecting data for the optimization of slot selection, and optimize the path selection to reduce the transmission energy consumption and balanced cluster head energy based on ant colony algorithm. The experimental results show that the proposed algorithm can improve the performance of data transmission and save power.