异构传感器网络中一种能量有效的簇头选择算法

Energy Efficient Cluster-Head Selection for Heterogeneous Wireless Sensor Networks

针对无线传感器网络的异构性,提出了一种能量有效的双簇头产生算法DCHsS(Double Cluster Heads Selection Al-gorithm)以减轻簇头负担以及均衡网络能耗。与已有簇头选择算法相比,DCHsS基于双簇头思想进行改进,在每个簇中选出两个节点(分别定义为"中转"簇头和"通信"簇头),分别承担簇头节点的任务—簇内数据处理和簇外数据通信。此外,DCHsS采用了一种全新的簇头竞争参数,使得拥有较高剩余能量、较低通信能耗和较强数据处理能力的节点优先成为簇头,以更好地解决节点能量异构网络的负载均衡问题。实验结果表明,在异构网络中,DCHsS算法在能量消耗上优于单簇头方案,能更有效的利用节点能量和减少簇头能耗。

Aimed at the heterogeneousness in wireless sensor networks, an energy-efficient double clusterheads selection algorithm（DCHsS） is proposed to reduce the burden of single cluster-head and balance the network＇s energy consumption. DCHsS makes an improvement on the double-CHs-one-cluster scheme, within every cluster defining a ＂transfer＂ cluster-head and a ＂communication＂ cluster-head to respectively performing the task of data fusion and data communication. In order to better solve the load balancing for energy heterogeneous networks, DCHsS also puts forward a new cluster-head selection parameter. Based on the parameter, one node with higher residual energy, lower communication cost and more strong data processing capacity, will be prior to become the cluster-head. Simulation results show that DCHsS can utilize nodes＇ energies more effectively and make less energy consumption of the cluster-head than the current one-CH-one-cluster scheme in heterogeneous environments.