Abstract
For node awakening in wireless multi-sensor networks, an algorithm is put forward for three dimensional tar- get tracking. To monitor target dynamically in three dimensional area by controlling nodes, we constract vir- tual force between moving target and the current sense node depending on the virtual potential method, then select the next sense node with information gain function, so that when target randomly move in the specific three dimensional area, the maximum sensing ratio of motion trajectory is get with few nodes. The proposed algorithm is verified from the simulations.
Highlights
Wireless sensor networks (WSNs) have drawn a more attention in the last few years [1], including traditional wireless sensor networks and wireless multimedia sensor networks(WMSNs)
Howard et al [5] applied it to the coverage problem of WSNs, the technique was proved to be useful for such problem in [6,7], the virtual potential field could cause the repel force between sensors
Focus on three dimensional target tracking application, we structure virtual force between moving target and the current sense node based on the virtual potential method, and control node rotation to get maximum sensing ratio of motion trajectory with few sensors, and define the warning round, intersection and information gain area, select the sense node with in
Summary
Wireless sensor networks (WSNs) have drawn a more attention in the last few years [1], including traditional wireless sensor networks and wireless multimedia sensor networks(WMSNs). WMSNs differ from the traditional wireless sensor networks due to their characteristic of directivity and are more interest in intensive information data (e.g. video, image) [3]. Howard et al [5] applied it to the coverage problem of WSNs, the technique was proved to be useful for such problem in [6,7], the virtual potential field could cause the repel force between sensors. Focus on three dimensional target tracking application, we structure virtual force between moving target and the current sense node based on the virtual potential method, and control node rotation to get maximum sensing ratio of motion trajectory with few sensors, and define the warning round, intersection and information gain area, select the sense node with in-. Formation gain function so that as few nodes as possible are used to get the maximum probability of motion trajectory sensing when target randomly move in the specific three dimensional area
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