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Optimal Placement of a certain number of sinks at appropriate locations in WSNs reduces the number of hops between a sensor and its sink. This reduction ensures less exchanged messages between nodes and consequently less energy consumption. Since finding the optimal number of the sinks and their locationsis an NP Hard problem, a meta-heuristic evolutionary approach has been adopted as a Sink Placement...
The BP feed-forward neural network is popular in solving many non-linear multivariate and complex problems. The most important problem with neural network is to decide optimal structure and parameter settings. Literature presents a multitude of methods but there is no rigorous and accurate analytical method. This paper presents the hybrid approach of genetic algorithm and neural network computing...
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