Tracking a moving object with a binary sensor network
Proceedings of the 1st international conference on Embedded networked sensor systems
DCTC: dynamic convoy tree-based collaboration for target tracking in sensor networks
IEEE Transactions on Wireless Communications
Optimal location and motion of autonomous unmanned ground vehicles
WSEAS Transactions on Signal Processing
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Object tracking is an important part of the common problem for the autonomous motion planning. The main theme of this paper is to propose a data aggregation model for object tracking. Object tracking typically involves two basic operations: update and query. In general, updates of an object's location are initiated when object moves from one point to another. A query in invoked each time when there is need to find the location of the interested object. Location updates and queries may be done in various ways. We propose a new tree structure for in-network object tracking. The location update part of our solution can be viewed as an extension of [2]. In particular, we take the physical topology of the network into consideration. We will reduce the update cost. Several principles, namely, deviation-avoidance and highest-weight-first ones are pointed out to construct an object tracking tree to reduce the communication cost of location update. Our proposed solution tries to divide the network area into squire-like zones, and recursively combine these zones into a tree.