摘要
In this paper,three distributed and scalable nonuniform deployment algorithms in order to enhance the quality of monitoring(QoM).Mobile sensors are to be deployed around a target of interest which can be stationary or moving,and to approximate a given weight function which is a measure of information or event density.The first two algorithms generate nonuniform deployments by inverse-transformations from a uniform deployment.They handle the situations of global coordinate system which is available and not with appropriate assumptions,respectively.The third algorithm,which relocates sensors to adjust inter-node distances based on the local measurements only,is suitable for general cases.The simulation results demonstrate the proposed algorithms can achieve reliable and satisfactory deployments.
In this paper, three distributed and scalable nonuniform deployment algorithms in order to enhance the quality of monitoring （QoM）. Mobile sensors are to be deployed around a target of interest which can be stationary or moving, and to approximate a given weight function which is a measure of information or event den- sity. The first two algorithms generate nonuniform deployments by inverse-transformations from a uniform de- ployment. They handle the situations of global coordinate system which is available and not with appropriate as- sumptions, respectively. The third algorithm, which relocates sensors to adjust inter-node distances based on the local measurements only, is suitable for general cases. The simulation results demonstrate the proposed al- gorithms can achieve reliable and satisfactory deployments.
基金
Sponsored by the National Natural Science Foundation of China (Grant No. 61174016,61171197)
