An improved localization approach based on Sybil attack for WSN.

Recently, the precise location of sensor nodes has emerged as a significant challenge in the realm of Internet of Things (IoT) applications, including wireless sensor networks (WSNs). The accurate determination of geographical coordinates for detected events holds pivotal importance in these applications. Despite the DV-Hop gaining popularity due to its cost-effectiveness, feasibility, and lack of additional hardware requirements, it remains hindered by a relatively notable localization error. To overcome this limitation, our study introduces three new approaches of localization that combine the DV-Hop with the chicken swarm optimization approach. The primary objective is to improve the precision of DV-hop-based approaches. Through extensive simulations, we compare the efficiency of our novel localization algorithms with competitive approaches considering random network topologies. The results derived from the simulation validate the efficiency of our proposed algorithms. The proposed algorithm, the HW-DV-HopCSO, achieves a considerable improvement regarding positioning accuracy. [ABSTRACT FROM AUTHOR]