A Hybrid Metaheuristic Algorithm for the Localization Mobile Sensor Nodes

Abstract

Wireless sensor Networks replace existing technologies in today’s world. It has some problems in Wireless Sensor Networks (WSN) such as security, energy optimization or mobile localization. Wireless sensor networks are used extensively in sectors such as military sectors, geographic information systems, and meteorology systems. Therefore, efforts are being made to use wireless sensor networks faster and more accurately localization problem, which is among these problems, has an important place today. It is very important to find the location of the sensors quickly and with low error rate in applications such as military applications, emergency assistance. The basis of the problem is to find the geographical points of the nodes randomly distributed in the environment and whose locations are unknown, through anchor nodes. In this study, a hybrid structure was created by using Grasshopper Optimization Algorithm (GOA) and Whale Optimization Algorithm (WOA) metaheuristic algorithms for the location of nodes, and a hybrid structure was used to detect the locations of nodes in wireless sensor networks. Metaheuristic algorithms basically imitate these actions by digitizing the events of living things such as feeding, movement or hunting. While establishing the WOA algorithm used in the study, the hunting methods of whales in nature were taken into account. While establishing the GOA algorithm used in the study, the movement and communication between grasshoppers taken into account. Main purpose of this paper, determine faster and more suitable for the localization problem in wireless sensor networks with the new algorithm.