基于有向感知模型的传感器网络密度控制算法

Density Control Algorithm Based on Directional Sensing Model for Sensor Networks

密度控制是一种常用的延长大规模传感器网络工作寿命的方法,现有的密度控制算法大多基于全向感知模型,而满足有向感知模型的传感器网络也颇具实际应用价值。文中提出一种基于有向感知模型的传感器网络密度控制算法,在保证一定网络覆盖能力的前提下,有效地休眠冗余有向感知节点,降低网络总能耗,延长网络工作寿命。

Density control is a common way for prolonging the lifetime of large scale sensor network. Most of the existing density control algorithms are based on omni-directional sensing model. However, sensor networks based on directional sensing model are of great application significance. In this paper, a density control algorithm based on directional sensing model is proposed, which can effectively turn off the redundant directional sensor nodes, thus to reduce total network energy consumption and prolong the lifetime of sensor networks while to ensure a certain ability of network coverage