面向目标跟踪的传感器网络布局优化及保护策略

本文以目标跟踪为应用背景，改进了已有传感器感知模型和虚拟力方法，提出了一种新的传感器网络布局优化策略，该策略首先计算传感器与目标、热点区域、障碍物和其他传感器之间的虚拟力，为各传感器寻找受力平衡点，并将其作为该传感器的新位置，从而优化网络布局优化．实验证明，该策略可有效改善传感器网络覆盖率和目标探测概率．同时，本文根据各传感器获取的信息量，提出了涉及目标的传感器网络节点重要性排序算法，以及根据节点重要性进行传感器网络保护的策略。

Optimal Deployment and Protection Strategy in Sensor Network for Target Tracking

Improving on the existing sensor detection model and virtual force method,we present a novel sensor deployment optimization strategy based on target involved virtual force.Firstly,the attractive and repulsive forces between a certain sensor and targets,hotspots,barriers,or other sensors are calculated.Then a position,in which the vector addition of all the forces on the sensor equates zero,is chosen as the new location of the sensor.After all the sensors have obtained their new locations,the deployment is optimized.Experiments show the new strategy can efficiently improve sensor network coverage and target detection accuracy.Additionally,based on the information that all sensors gathered,we propose an improved sensor-ranking algorithm as well as a sensor protection strategy with targets' importance sequence in consideration.