Wireless sensor networks, as an emerging paradigm of networking and computing, have
applications in diverse fields such as medicine, military, environmental control, climate …

This paper presents elephant herding optimization algorithm (EHO) adopted for solving
localization problems in wireless sensor networks. EHO is a relatively new swarm …

In the modern era, with the development of new technologies, such as cloud computing and
the internet of things, there is a greater focus on wireless distributed sensors, distributed …

Seyedali Mirjalili et al.(2014) introduced a completely unique metaheuristic technique
particularly grey wolf optimization (GWO). This algorithm mimics the social behavior of grey …

A huge number of sensor nodes collect information about the environment around them in
wireless sensor networks (WSNs), but this information is not valuable until the precise …

Accurate localization of sensor nodes has a strong influence on the performance of a
wireless sensor network. In this paper, a node localization scheme using the application of …

Abstract In Wireless Sensor Networks, node localization is one of the most important system
parameters. Determining the exact position of nodes in these networks is one of vital and …

The problem of node localization in wireless sensor networks aims to assign th e
geographical coordinates to each device with unknown position, in the deployment area. In …

Wireless sensor networks that are composed of a finite number of spatially distributed
autonomous sensors are widely used in different areas with many potential applications …

Nodes localization in a wireless sensor network (WSN) aims for calculating the coordinates
of unknown nodes with the assist of known nodes. The performance of a WSN can be …