Dynamic Clustering for Acoustic Target Tracking in Wireless Sensor Networks
IEEE Transactions on Mobile Computing
Exploiting Sink Mobility for Maximizing Sensor Networks Lifetime
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences - Volume 09
Mobility improves coverage of sensor networks
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Achieving Real-Time Target Tracking UsingWireless Sensor Networks
RTAS '06 Proceedings of the 12th IEEE Real-Time and Embedded Technology and Applications Symposium
A cross-layer architecture of wireless sensor networks for target tracking
IEEE/ACM Transactions on Networking (TON)
Target tracking in wireless sensor networks using compressed Kalman filter
International Journal of Sensor Networks
The optimization of sensor relocation in wireless mobile sensor networks
Computer Communications
Networked ultrasonic sensors for target tracking: an experimental study
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Adaptive sensor activation for target tracking in wireless sensor networks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Mobile Scheduling for Spatiotemporal Detection in Wireless Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
Strictly Localized Sensor Self-Deployment for Optimal Focused Coverage
IEEE Transactions on Mobile Computing
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The advancements in robotics and wireless communications provide us with the opportunity to combine the mobility and wireless sensor networks so that various objectives can be achieved simultaneously with less required resources. Specifically, mobility enables sensors to dynamically adjust their positions for better sensing quality, and offers a higher probability for guaranteeing the required coverage at the same time. In this paper, we propose a novel coordinating scheme for autonomous mobile sensor networks to optimize the target sensing quality while guaranteeing the required coverage of the field of interest. The whole problem is transformed into a finite horizon optimization problem, to which several solving algorithms are designed. Extensive simulations demonstrate the effectiveness of the proposed method.