摘要
对无线传感器网络分簇路由LEACH算法能耗问题进行了分析,提出了簇首选择方法,并通过传感器节点剩余能量和网络加权系数重新设定阈值,使剩余能量较大的传感器节点被选作簇首节点,将网络内的能量平均分配到每个传感器节点上,有效地平衡网络负载,在此基础上,给出了优化簇首选择方法,仿真结果表明算法的性能得到了较好的改善,延长了网络的生命周期。
The energy issues of low energy adaptive clustering hierarchical protocol (LEACH) was analyzed for wireless sensor networks (WSN), a way for the cluster-heads selection was proposed, and using the residual energy of sensors and network weighting coefficients to adjust the threshold. This scheme can make the high energy sensors be elected the cluster-heads, and the whole network energy can be distributed to each sensor node to balance the network load effectively. In this basis, an optimal cluster-heads selection mechanism can be further shown. According to simulation results, the algorithm performance is improved and further extends the network lifetime.
出处
《计算机科学与应用》
2012年第4期172-177,共6页
Computer Science and Application
基金
国家自然科学基金资助项目(61065007)
人社部留学人员科技项目(0814GS005)
甘肃省高校科研业务费项目
厦门理工学院科研资助项目。
