Adaptive flocking control for dynamic target tracking in mobile sensor networks
Hung Manh La, Weihua Sheng · 2009
Target tracking is an important task in sensor networks, especially in mobile sensor networks. Flocking control is used to control a mobile sensor network to track a target. However, there are some existing problems in this control method, such as network fragmentation, loss of formation and poor tracking performance. In order to handle these problems we propose a novel approach to flocking control of a mobile sensor network to track a moving target within changing environments. In our approach, each agent can cooperatively learn the network's parameters to decide the size of network in a decentralized fashion so that the connectivity, formation and tracking performance can be improved when avoiding obstacles. In addition, to demonstrate the benefit of our approach a comparison between this approach and the existing method is given. Computer simulations are performed to demonstrate the effectiveness of the proposed approach.