摘要： 针对无线传感器网络寿命受节点能量制约的问题，提出基于簇头预测的节能算法。分析节点接收、发送和处理数据所需能耗与通信中数据包长度的近似线性关系，给出节能算法的能耗模型。以已有融合数据为基础，簇头利用灰色预测算法求出该簇的数据，降低簇头与非簇头节点的通信频率，使簇头以较低能耗延长其轮回周期。仿真结果表明，该算法能有效降低节点死亡速度，延长网络寿命。

关键词: 无线传感器网络, 灰色预测, 融合数据, 网络寿命

Abstract: Because the lifetime of Wireless Sensor Networks(WSN) is restricted by the energy of nodes, this paper presents an energy saving algorithm based on cluster head prediction. The approximate linear relationship between the length of data packets and energy consumption for sending, receiving and processing data is analyzed, and an energy consumption model with energy saving algorithm is given. According to the historical fused data, the data of cluster heads is predicted through grey prediction algorithm. With the energy saving algorithm, the communication frequency between cluster head and non-cluster head node is reduced, and the round cycle of cluster head is prolonged at low energy cost. The simulation results demonstrate that the algorithm is efficient for reducing dead speed of nodes and increasing the network lifetime.

Key words: Wireless Sensor Networks(WSN), grey prediction, fused data, network lifetime

中图分类号: 

• TP393