基于概率感知模型的无线传感器网络覆盖算法分析.docx

Abstract
With the development of munication and sensing technology, the wireless works has e to the cutting-edge research field, and has been applied in many fields. Wireless works posed by a large number of micro-sensors, which are low cost, small size and munication puting capabilities, which can be work. Because of these features, wireless works has great application value and widely used in many fields, such as military, industrial, environmental monitoring, transportation, health, national security and other
The coverage work is one of the based problems in wireless works. In order to carry out the premise of target tracking and other activities, the probability of must be ensured. In addition, the coverage work has a great impact on the life of work.
This paper analysis the existing algorithms of coverage work, then proposes an algorithm of coverage work base on the probability sensing model, which is base on the requirements probability of works. First, the algorithm judges whether the node i exists the sponsor set and node i is any node in the monitoring area. If the sponsor set is not existed, the node must keep working; else the algorithm executes the next. Determine whether the node would go to sleep taking into the probability works. The purpose of the algorithm is to lower the number of working node, so the energy consumption can be reduced and work’s life can be prolonged. The simulation results shows that the agreement reduces the number of working nodes, effectively extending work’s life cycle, and achieve the work coverage.
Keywords: wireless works, probability work, probability sensing model, working nodes
目 录
摘 要.................................................................................................... I
Abstract................................................................................................... II
绪论
. 选题背景........................................................................................ (1)
1.