Hybrid Genetic Algorithm–Differential Evolution Approach for Localization in WSN
Nature-inspired algorithms have the characteristics to learn and decide and to be adaptable, intelligent, and robust, and so they can be used for solving complex problems. This paper deals with one such algorithm named hybrid genetic algorithm–differential evolution for localization in wireless sensor network. This algorithm is used to estimate the position of sensor node. A novel hybrid algorithm is analyzed, designed, and implemented. This algorithm provides better accuracy and is simple to implement.
KeywordsGenetic algorithm Wireless sensor network Sensor node Anchor node Differential evolution
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