On the detection of intelligent mobile targets in a mobile sensor network

We consider the problem of intelligent mobile target detection in a mobile sensor network, where targets have higher sensing ranges and speeds than the sensors. (i) We propose novel algorithms for the sensors to detect targets with larger sensing ranges and speeds than the sensors. Also, our algorithms can achieve much faster detection for the targets than the most recent algorithm in the literature. (ii) In case of targets with lower speeds than the sensors, we propose a simple coordination framework between the targets. (iii) We propose new performance measures to evaluate target detection systems, namely, the coverage area of the targets and the collected information by the targets about the surveillance area. According to these metrics, we show by simulation that our sensors movement strategies, and by using a comparable number of sensors, can solve the open problem and no target can evade from being detected irrespective of its sensing range and speed, and within an adaptable detection time. Our simulation also shows that our simple targets coordination strategy gives much better performance than the independent targets in terms of the above metrics.