AR可变的有向传感器网络节点模型的研究

Research of AR variable directed sensor networks node model

针对以往采用的感知角度、感知半径固定的传感器节点模型在网络覆盖优化上的问题,提出了一种感知角度与感知半径(angle and radius,AR)可变的新型节点模型,在边界处理问题上提出边界模型,并对PFCEA算法进行了改进。通过网络初次部署稳定后进行二次部署改变传感器节点模型,使其在有限节点上提高网络覆盖率。仿真实验表明,新型节点模型在提高监测区域覆盖率方面要比现有节点模型更加优越。

Aiming at the problem of the sensor node model which was used in the past, the sensor node model was fixed on the network coverage.This paper developed a new node model with variable sensing angle and sensing radius（AR） and the boun-dary model to deal with the boundary problem, improved the PFCEA algorithm. After the initial deployment of the network stable, the second deployment of sensor nodes to change the model so that it could improve the network coverage in a limited node. Simulation experiments show that the new model has more advantages than the existing node model in improving the co-verage of monitoring area.