Modified DV-Hop Algorithm for Localization in Wireless Sensor Network (WSN)

Abstract

Localization is an important aspect of wireless sensor networks (WSNs). A wireless sensor network consists of a large number of small, low-cost, low-power sensors with limited processing power that communicate with each other on an ad-hoc basis. The physical coordinates of the sensor nodes within the decision task WSN are called localization or positioning. A key component in today’s communication systems for estimating the origin of an event. B. Different location accuracy requirements for different applications, different localizations. Focusing on the latter, this post explores different measurement techniques and strategies for distance-based and non-distance-based localization. In addition, we discuss various location-based applications in which position estimation is performed. Wireless sensor networks (WSNs) help us monitor our physical environment more closely. Localization is a major challenge in such networks, as the reported data is useless without locating the sensors reporting it. Anchor-based and anchor-free approaches, where the DV hop algorithm is an anchor-based approach. This document modifies the DV hop algorithm. A drawback of the DV hopping algorithm is that it does not work well with sparse topologies. The results show that the accuracy of the modified DV-hop algorithm is better than that of the DV-hop algorithm, and the modified DV-hop algorithm works even in sparse networks.