Grey wolf optimizer (GWO) is one of recent metaheuristics swarm intelligence methods. It
has been widely tailored for a wide variety of optimization problems due to its impressive …

In order to solve the critical issues in Wireless Sensor Networks (WSNs), with concern for
limited sensor lifetime, nature-inspired algorithms are emerging as a suitable method …

The internet of things (IoT) and industrial IoT (IIoT) play a major role in today's world of
intelligent networks, and they essentially use a wireless sensor network (WSN) as a …

Efficient resource use is a very important issue in wireless sensor networks and
decentralized IoT-based systems. In this context, a smooth pathfinding mechanism can …

In the past few decades, cutting-edge information and communication technology has been
used in several ways to keep an eye on the marine environment. Underwater wireless …

Energy efficiency is one of the main challenges in developing Wireless Sensor Networks
(WSNs). Since communication has the largest share in energy consumption, efficient routing …

To overcome the limitation of single search strategy of grey wolf optimizer (GWO) in solving
various function optimization problems, we propose a multi-strategy ensemble GWO …

This research work adopts the idea of Internet of Things (IoT) for constructing a green
wireless sensor network (WSN) for improving sensor based communication in future smart …

The advent of sensors that are light in weight, small-sized, low power and are enabled by
wireless network has led to growth of wireless sensor networks (WSNs) in multiple areas of …

In general architecture of Wireless Sensor Networks (WSNs), gateways far from the Base
Station (BS) communicate with the BS via the gateways close to the BS. The energy of …