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The problem of Keeping a wireless sensor network a life for maximum possible monitoring time, considering its limited energy source is widely addressed. Linear programming, genetic algorithms and other optimization methods are used on disjoint set covers to maximize the lifetime. This paper provided a genetic algorithm-based secluding method to generate the solution with the maximum possible lifetime...
In the densely deployed wireless sensor networks, sensors are scheduled over time in order to maintain the coverage while saving energy of networks. In this article, we investigate the coverage-aware scheduling problem using genetic algorithms. Sensors are optimally scheduled in different time slots to maximize the overall coverage under the given k-cover requirement and lifetime of networks. A set...
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