Wireless sensor networks are catching the attention of the researchers in various fields like
structural, healthcare monitoring, but the real world adoption is getting difficult due to its …

A novel enhanced quantum particle swarm optimization algorithm for IIoT deployments is
proposed. It provides enhanced connectivity, reduced energy consumption, and optimized …

The advances in hardware manufacturing technologies and wireless communications
enabled the evolution of tiny, multi-functional, low-power and resource constrained sensor …

Self-powered or autonomously driven wearable devices are touted to revolutionize the
personalized healthcare industry, promising sustainable medical care for a large population …

This article presents an energy-efficient industrial Internet of Things (IIoT) architecture that
minimizes the data transmission process based on sensor data prediction. While current IIoT …

Wireless power transfer (WPT) provides a novel solution to the painstaking power-charging
issue in wireless sensor networks. However, due to the propagation loss, the fast attenuation …

Wireless sensor networks (WSNs) with energy harvesting capabilities have drawn
increasing attention in the last few years, as they enable long-term monitoring applications …

Abstract Simultaneous Wireless Information and Power Transfer (SWIPT) is an emerging
field to transmit information and power in IoT network through the same RF signal. Time …

Low power loss networks and wireless sensor networks are important components of the
Internet of Things. With the development and popularization of artificial intelligence, the …

A bio-inspired metaheuristics canonical particle multiswarm optimization (CPMSO) algorithm
is presented to investigate the optimal deployment pattern for sensors to improve the …