Self* Architecture for Trajectory Tracking in Wireless Sensor Networks

This paper addresses the problem of trajectory tracking that deals with gathering coherent information on the past behavior of a mobile target. When a target enters and moves within a region covered by a sensor network, information about this target is generated by any active sensor that detects the target in its monitoring area. These gathered data have to be received by some registered nodes that are in charged of identifying the trajectory of the target to perform latter complex computations at the application level (e.g., trajectory forecasting, pursuer/evader, optimization of the management of natural disasters, etc,), Our first contribution consists informally specifying the problem: the proposed formal specification is the first one to the best of our knowledge. We also propose an original architecture combining three distinct abstractions which allows describing various solutions. Some algorithmic solutions that is necessary far the self-stabilizing-implementation of the trajectory tracking specification is outlined. The overall solution blends together in the context of tracking applications, three research areas: temporal correlated data, causal correlated (content related) data, and self-stabilizing overlays