In wireless mobile sensor networks, periodic calculation of coverage is very important, since mobile sensors can be moved adequately to current needs, thus increasing the coverage. Those moves require the execution of navigation tasks. Global network central algorithms for those tasks are very costly regarding energy consumption and computational resources. Considerations presented herein pertain to the best algorithms for a network of numerous small mobile sensor nodes used for monitoring of large terrains. Localized algorithms suggested in this paper help calculate the coverage on-line and locally with the involvement of neighboring nodes only. Furthermore, localized collaborative navigation is presented. It enables yielding position estimation with no GPS use and ensures improvement rather than deterioration over time. It uses multi-sensor fusion algorithms based on optimization and a distributed iterative extended Kalman Filter.
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