摘要
研究优化传感器工作寿命问题,网络簇间能耗不均衡和簇头选择不合理,导致能量过早消耗,网络寿命短的缺陷。传统分簇算法采用均交分簇和固定阈值簇头轮换选举方式不能解决上述问题。为了延长网络生命周期,提高能量利用效率,提出了一种改进的无线传感器路由分簇算法,采用非均匀分簇策略使簇簇间能量消耗平衡,并利用基于剩余能量的阈值簇头轮换选择机制。在NS2平台中对算法进行仿真,对节点存活率和网络总能耗两个方面进行比较与分析,仿真结果表明,改进的算法很好地使网络的能耗达到了均衡,节约了簇头节点的能量,从而延长网络的寿命。
Study optimization of sensor network lifetime. Because networks have unbalanced energy consumption between clusters, and cluster head selection is not reasonable, premature consumption energy is large and network life is short. Traditional clustering algorithm cannot solve the problem for the cluster head threshold is fixed. In order to prolong the network life cycle and improve energy utilization efficiency, this paper proposes an improved clustering al- gorithm of wireless sensor networks, using unequal clustering strategy to make the balance between energy consump- tion of clusters, The cluster head is selected based on the energy threshold mechanism. The simulation experiment is carried out in NS2 platform, and the survival rate and the total energy consumption of the network node are analyzed. The simulation results show that the improved algorithm is very good so that the network energy consumption can reach equilibrium, saving the cluster head nodes energy, thereby prolonging the network lifetime.
出处
《计算机仿真》
CSCD
北大核心
2011年第9期122-126,共5页
Computer Simulation
关键词
无线传感器网络
能量均衡
非均匀分簇算法
簇头选择
Wireless sensor networks ( WSN )
Energy balance
Unequal clustering algorithm
Cluster head choose