Improved Shuffled Frog Leaping Algorithm And Its Application In Node Localization Of Wireless Sensor Network

Abstract

Abstract To improve the unreasonable distribution of sensors’ random deployment and increase network coverage rate, an optimization method of wireless sensor networks coverage based on improved shuffled frog leaping algorithm (ISFLA) was proposed in this paper. During the process of updating the frog, a novel learning strategy is introduced, in which the poor frog learns not only from the best frog of its own ethnic group, but also from the best frog of the population. In addition, a diversity factor is considered in updating the frog. Experimental results show that the algorithm yields better optimization coverage results.