Prediction-based dynamic clustering target tracking
基于预测的动态分簇目标跟踪算法

The most important challenge in target tracking was how to reduce the nodes' energy consumption and prolong network lifetime while guaranteeing a higher tracking accuracy. To solve the above problem, this paper proposed a prediction-based dynamic clustering target tracking algorithm (Pre-DC). The algorithm first established a dynamic cluster, and then used the particle filter method to track the target in the current cluster, and finally updated the cluster according to prediction error. This method not only reduced the cluster's energy consumption, but also improved the tracking accuracy. The simulation result shows that the proposed algorithm can obtain a good tracking accuracy even if the less sensor nodes take part in target tracking.