We study the important problem of tracking moving targets in wireless sensor networks. We try to overcome the limitations of standard state of the art tracking methods based on continuous location tracking, i.e. the high energy dissipation and communication overhead imposed by the active participation of sensors in the tracking process and the low scalability, especially in sparse networks. Instead, our approach uses sensors in a passive way: they just record and judiciously spread information about observed target presence in their vicinity; this information is then used by the (powerful) tracking agent to locate the target by just following the traces left at sensors. Our protocol is greedy, local, distributed, energy efficient and very successful, in the sense that (as shown by extensive simulations) the tracking agent manages to quickly locate and follow the target; also, we achieve good trade-offs between the energy dissipation and latency.
The interested reader is referred to @cite_2 , the nice book by F. Zhao and L. Guibas, that even presents the tracking problem as a canonical'' problem for wireless sensor networks. Also, several tracking approaches are presented in @cite_0 .
@cite_0 @cite_2
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This paper describes the concept of sensor networks which has been made viable by the convergence of micro-electro-mechanical systems technology, wireless communications and digital electronics. First, the sensing tasks and the potential sensor networks applications are explored, and a review of factors influencing the design of sensor networks is provided. Then, the communication architecture for sensor networks is outlined, and the algorithms and protocols developed for each layer in the literature are explored. Open research issues for the realization of sensor networks are also discussed. Ch 1 Intro. Ch 2 Canonical Problem: Localization and Tracking Ch 3 Networking Sensor Networks Ch 4 Synchronization and Localization Ch 5 Sensor Tasking and Control Ch 6 Sensor Network Database Ch 7 Sensor Network Platforms and Tools Ch 8 Application and Future Direction