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This paper proposes to use the binary particle swarm optimization (BPSO) approach to solve the disjoint set covers (DSC) problem in the wireless sensor networks (WSN). The DSC problem is to divide the sensor nodes into different disjoint sets and schedule them to work one by one in order to save energy while at the same time meets the surveillance requirement, e.g., the full coverage. The objective...
In order to maximize the lifetime of wireless sensor networks, while ensuring the monitoring quality for specific applications, we develop the sleep-wakeup algorithms for the sensor networks. Firstly, for the three-dimensional wireless sensor networks, we formulate the virtual barrier coverage problems. Secondly, the design and implementation of the nodes sleep-wakeup scheduling algorithm, FWP, to...
For some sensor network applications, the problem of sweep coverage, which periodically covers POIs (Points of Interest) to sense events, is of importance. How to schedule minimum number of mobile sensors to achieve the sweep coverage within specified sweep period is a challenging problem, especially when the POIs to be scanned exceeds certain scale and the speed of mobile sensor is limited. Therefore,...
This paper briefly describes the characteristics of wireless sensor networks (WSN) and introduces it into the power grid. WSN can dynamically monitor malfunctions on power grid cables. This is the significance of the article. We make some improvements on the DV_Hop algorithm in WSN and propose a feasible method of failure localization which can be applied on power grid cables.
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