Localization Using Hybrid Multiliteration Approach in Wireless Sensor Network

Abstract

Wireless sensor networks are used in the field of civilian as well non-civilian purpose. Civilians use it for the seismic monitoring, environmental condition monitoring and condition monitoring. The coverage area of the wireless sensor network has now become vast, which includes the security, health services and last but not least the target tracking. The target tracking is a method, which detects the target’s location through estimation. This is done with the help of sensor network, they are positioned and they know their own position as well. In order for this to work, they calculate different information, they collect information, they forward the data, and this whole process requires detailed monitoring. Keeping all the things in mind, the estimation data for the target needs to be accurate and reliable, since target tracking is a result critical process. To address the issues that occur during the process of target tracking, we study different schemes like the Received Signal Strength Indicator (RSSI), Global Positioning System (GPS), trilateration and multiliteration. Although each has contributed towards the research process, but they have drawbacks which are discussed. Therefore, this research has been proposed, which will tackle the issues that are faced. A new technique of dynamic clustering which is based upon target tracking. The proposed technique uses a hybrid approach based on RSSI and multiliteration to accurately detect the target. Rigorous simulations are performed and the simulation results that the new schemes have better results in terms of accuracy for detecting the target, which is under the surveillance area.