论文部分内容阅读
根据传感器网络的动态实时性,提出了聚簇重配置负载平衡算法(forced reconfiguration load balan-cing,FRLB).该算法对强制重配置的系统框架进行了改进,实现了构建阶段和稳态阶段的两种均衡策略.采用一个簇中的节点数和在节点传输距离内的簇头数这两个指标来选择下一簇头;建立了基于契比雪夫不等式的负载平衡的衡量标准来均衡化网络内的能量消耗并减少通信拥塞.仿真分析表明,该算法相比其他网络资源和任务管理算法,能更有效减少热点并提高传感器网络的使用寿命.
Based on the dynamic real-time performance of sensor networks, a novel reconfigurable load balancing algorithm (FRLB) is proposed, which improves the system framework of forced reconfiguration and realizes the construction phase and steady-state phase Two kinds of equalization strategies are used to select the next cluster head by using the number of nodes in a cluster and the number of cluster heads in the transmission distance of the nodes. A load balancing criterion based on Chebyshev inequality is established to balance the network Energy consumption and reduce communication congestion.The simulation analysis shows that compared with other network resources and task management algorithms, this algorithm can effectively reduce hot spots and improve the service life of sensor networks.