基于ARMA流量预测的WSN非均匀分簇双簇头选择算法

The algorithm of choosing the uneven clustering double cluster heads in WSN based on ARMA traffic prediction

在无线传感器网络中引入双簇头机制可以用副簇头承担数据转发任务,能有效地分担主簇头的负载。但由于簇与簇的中继不同,转发簇头在不同时刻承担的转发任务不同,为此,有针对性地提出一种基于ARMA流量预测的W SN非均匀分簇双簇头选择算法,即AUDC算法,主簇头利用预测机制,根据簇内节点剩余能量选择副簇头。研究结果表明:采用该算法有效地延长了网络的生存周期,实现了网络的负载均衡。

In wireless sensor network,there is an effectively algorithm called double cluster heads mechanism which can share the burden of main cluster by using vice-cluster to take on the data switching.Because different clusters have different relays and transmitting tasks,aimed at the problem,the algorithm of choosing the uneven clustering double cluster heads in WSN based on ARMA traffic prediction was proposed.It means that main cluster can replace the vice-cluster by using forecasting mechanism according to residua energy of the nodes.The result shows that the new algorithm can prolong the network lifecycle effectively and achieve the load balancing in the network.