Hybrid intelligent algorithms for localization in wireless sensor networks

Abstract

Localization of sensor nodes is a routine process of estimating the location of the sensor nodes used in a network and specifies the importance of location information data. Localization in wireless sensor networks (WSN) is location estimation of nodes. For this estimation, optimization algorithms are used. There are several traditional algorithms available to do the localization. These traditional algorithms have their own processing methods. These algorithms execution difficulty varies with the number of sensor nodes, that is, complexity increases as the number of nodes increases. Restriction of resources and reduction in execution costs for the requirements. The energy restriction of sensor nodes requires a process that has minimal executional difficulty, does not need additional hardware, uses less computational time, requires reduced storage, offers better flexibility and easy to implement, but at the same time functionality of the WSN should not be reduced. Thus, it results in better performance and accuracy of knowing the location of nodes and having a great convergence.