Abstract: Wireless sensor networks have numerous practical uses which make them interesting and active research topic. Beside the information collected by wireless sensor networks, usually location of the sensor is necessary in order to have complete and useful information. Since it is rather expensive to put GPS receivers in all sensors, different localization techniques were developed. Usually a small number of nodes are equipped by GPS receiver while the location of the rest nodes is determined based on the received signal strength. Finding the positions of sensors is a hard optimization problem and in this paper we propose recent swarm intelligence optimization algorithm - water cycle algorithm. The proposed method was compared to other methods from literature and it was proved to be better considering all quality indicators.
Keywords: water cycle algorithm, global optimization, swarm intelligence, metaheuristics, wireless sensor networks, localization
Cite this paper
Ira Tuba, Viktor Tuba. (2018) Node Localization in Wireless Sensor Networks by Water Cycle Algorithm. International Journal of Computers, 3 , 91-96

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