基于节点剩余能量的能量异构网络分簇算法
发布时间：2019-05-30 00:32
【摘要】：针对无线传感器网络中如何利用有限能量延长网络生存时间的问题,研究了分簇算法在能量异构传感器网络环境下的性能特点,设计出一种基于节点剩余能量,适用于多级能量异构网络的分簇算法。在该算法的网络簇头选举加权概率中引入了参量γ,使得在簇头选举过程中,具有较高的初始能量和剩余能量的节点在簇头选举过程中当选簇头的机会增多。避免了剩余能量较小的节点担任簇头引起节点过早死亡使网络覆盖度降低的问题,从而均衡消耗网络中的各节点能量,延长网络的生存时间。同时,引入簇头管理机制保证了网络每轮簇头数目的稳定,进而提高了网络的传输质量。实验仿真结果表明,该算法在多级能量异构网络下比LEACH、SEP和DEEC具有较长的网络生存时间和稳定的数据传输能力。
[Abstract]:In order to solve the problem of how to use limited energy to prolong the lifetime of wireless sensor networks, the performance characteristics of clustering algorithm in energy heterogeneous sensor networks are studied, and a new method based on node residual energy is designed. A clustering algorithm for multistage energy heterogeneous networks. The parameter gamma is introduced into the weighted probability of cluster head election in this algorithm, so that the nodes with high initial energy and residual energy are more likely to be elected in the process of cluster head election. The problem of premature death of nodes with small residual energy as cluster head and the reduction of network coverage is avoided, thus consuming the energy of each node in the network and prolonging the survival time of the network. At the same time, the cluster head management mechanism is introduced to ensure the stability of the number of cluster heads per wheel, and then the transmission quality of the network is improved. The experimental results show that the algorithm has longer network lifetime and stable data transmission ability than LEACH,SEP and DEEC in multistage energy heterogeneous networks.
【作者单位】： 辽宁石油化工大学信息与控制工程学院;
【基金】：辽宁省高等学校杰出青年学者成长计划项目资助(LJQ2011032)
【分类号】：TN929.5;TP212.9
[Abstract]:In order to solve the problem of how to use limited energy to prolong the lifetime of wireless sensor networks, the performance characteristics of clustering algorithm in energy heterogeneous sensor networks are studied, and a new method based on node residual energy is designed. A clustering algorithm for multistage energy heterogeneous networks. The parameter gamma is introduced into the weighted probability of cluster head election in this algorithm, so that the nodes with high initial energy and residual energy are more likely to be elected in the process of cluster head election. The problem of premature death of nodes with small residual energy as cluster head and the reduction of network coverage is avoided, thus consuming the energy of each node in the network and prolonging the survival time of the network. At the same time, the cluster head management mechanism is introduced to ensure the stability of the number of cluster heads per wheel, and then the transmission quality of the network is improved. The experimental results show that the algorithm has longer network lifetime and stable data transmission ability than LEACH,SEP and DEEC in multistage energy heterogeneous networks.
【作者单位】： 辽宁石油化工大学信息与控制工程学院;
【基金】：辽宁省高等学校杰出青年学者成长计划项目资助(LJQ2011032)
【分类号】：TN929.5;TP212.9
【参考文献】
相关期刊论文 前6条
1 彭晨;郭静;裴灵犀;文利燕;;无线传感器网络中的节能策略[J];控制工程;2010年03期
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