Security Management White Papers
Gradient-Driven Target Acquisition in Mobile Wireless Sensor Networks
Overview Navigation of mobile wireless sensor networks and fast target acquisition without a map are two challenging problems in search and rescue applications. This paper proposes and evaluates a novel Gradient Driven method, called GraDrive. The approach integrates per-node prediction with global collaborative prediction to estimate the position of a stationary target and to direct mobile nodes towards the target along the shortest path. The paper demonstrates that a high accuracy in localization can be achieved much faster than other random work models without any assistance from stationary sensor networks. This paper evaluates the model through a light-intensity matching experiment in MicaZ motes, which indicates that the model works well in a wireless sensor network environment.
| Publisher | University of Minnesota | File Format | |
|---|---|---|---|
| Date Published | September 2006 | ||
| Format | White Papers | ||
| Topics | |||
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