摘要
为了降低异构传感器网络中节点间的通信代价及网络能耗,首先基于分解和组合数学原理提出了局部簇的概念,使节点的工作仅局限于一个簇内而非整个网络。然后,在局部簇内又提出了一种新的分簇算法:根据节点能量异构特征选择簇首,簇首除首轮由基站选出外,其他轮数均由前一轮中的簇首节点来确定;数据传输采用混合拓扑的网络结构,簇内同构节点可直接相互通信;引入了簇维护策略,维持簇的工作状态。仿真结果表明,基于局部簇的分簇算法明显减少了簇首的能耗,降低了整个簇的能耗。鉴于簇的局部性和独立性,显而易见新算法可以有效降低整个异构传感网络的能耗。
In order to reduce the communication cost between nodes and the whole net's energy dissipation in heterogeneous sensor networks, firstly, a local clustering strategy, which makes the work of each node limited in a cluster, not the whole network, is put forward, based on the mathematical principle of decomposition and composition. Then, a new clustering algorithm is also proposed based on this strategy. In the new algorithm, considering the characteristics of unequal energy, the BS (Base Station) chooses a cluster-head for each c)uster in the first round, and then the new cluster-head node is decided by the order cluster-head in the former round. As for the network topology, a hybrid structure is used for the communication between the intra-cluster nodes. With the purpose of keeping the working state of clusters, the cluster-maintenance strategy is proposed. The simulation result shows that the algorithm can reduce the cluster-head's energy consumption, and decrease energy expending within the whole cluster. In view of the cluster's locality and independence, it is obvious that the new algorithm can effectively reduce the power consumption of the entire heterogeneous sensor network.
出处
《计算机工程与科学》
CSCD
北大核心
2009年第6期96-98,共3页
Computer Engineering & Science
关键词
能量异构
局部簇
混合网络
簇维护
energy heterogeneous
local cluster
hybrid network
cluster-maintenance