In the context of wireless sensor networks (WSNs), the utilization of artificial intelligence (AI)-
based solutions and systems is on the ascent. These technologies offer significant potential …

Abstract Wireless Sensor Networks (WSNs) are the main data collection tools used by
Internet of Things (IoT) devices. The WSN-based IoT is a collection of several small …

Objectives: To propose a suitable bio-inspired algorithm for energy-aware adaptive sleep
scheduling and secured data transmission in IoT networks. Machine learning with bio …

Efficient slot allocation and transmit-sleep scheduling is an effective access control
mechanism for improving communication performance and network lifetime in …

We consider a fundamental file dissemination problem in a two-hop relay-based
heterogeneous network consisting of a macro base station, a half-duplex relay station, and …

Sensing and subsequent analysis of the environmental data of a given geographical area is
an essential requisite for the planned development of that region. Nowadays, IoT Sensor …

In a society where better, cleaner power generation and management are needed, IoT
devices and battery technologies have gained prominence. The Internet of Things (IoT) …

This paper proposes an interactive multi-agent Reinforcement Learning (RL) framework for
joint transmit-sleep scheduling in energy-harvesting wireless sensor networks. The …

Recent research emphasized the utilization of rechargeable wireless sensor networks
(RWSNs) in a variety of cutting-edge fields like drones, unmanned aerial vehicle (UAV) …

As energy conservation in Wireless Sensor Networks is crucial, the scheduling methods are
required to ensure that sensor nodes operate for a longer period. Duty cycle scheduling can …