基于蚁群优化算法的ReInForM动态路由

发布时间：2018-11-06 20:06

【摘要】：无线传感器网络中Re In For M多路径协议能保证网络可靠性,但未考虑节点能量动态变化和通信路径工况,随机选取下一跳转发节点的方式使得部分节点因被反复使用而快速失效,缩短了网络生命周期。针对该问题,在蚁群优化算法的基础上,结合蚁群信息素浓度和节点剩余能量等因素,提出一种Re In For M协议多目标优化条件下的动态路由选择算法,将能耗和剩余能量作为多路径选择指标,共同决定下一跳最优节点。仿真结果表明,与原有Re In For M路由算法相比,该算法能够在保证数据传输可靠率的同时,更有效地均衡节点能耗。
[Abstract]:The Re In For M multipath protocol in wireless sensor networks can guarantee the reliability of the network, but it does not take into account the dynamic change of node energy and the communication path conditions. Random selection of the next hop forwarding node causes some nodes to fail quickly because of repeated use, which shortens the network life cycle. In order to solve this problem, a dynamic routing algorithm based on multi-objective optimization of Re In For M protocol is proposed based on ant colony optimization algorithm, combining with the factors of ant colony pheromone concentration and node residual energy. Energy consumption and residual energy are taken as multipath selection indexes to determine the next hop optimal node. Simulation results show that compared with the original Re In For M routing algorithm, the proposed algorithm can balance node energy consumption more effectively while ensuring the reliability of data transmission.
【作者单位】：华南理工大学自动化科学与工程学院;
【基金】：国家自然科学基金“多路并网光伏发电系统荷-网-源随机网络建模与自主协调监控方法研究”(61573154,60904032) 广东省科技计划项目“多路并网光伏发电系统电能量智能监控技术”(2015A010106003)
【分类号】：TN929.5;TP18;TP212.9

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