Abstract The advent of Wireless Sensor Networks (WSNs) spurred a new direction of
research in agricultural and farming domain. In recent times, WSNs are widely applied in …

Cognitive radio networks challenge the traditional wireless networking paradigm by
introducing concepts firmly stemmed into the Artificial Intelligence (AI) field, ie, learning and …

Many wireless sensor‐based applications use LEACH as a preferred routing protocol owing
to its unique features such as optimal slee** time, minimum packet collisions, dynamic …

Although valued for its ability to allow teams to collaborate and foster coalitional behaviors
among the participants, game theory's application to networking systems is not without …

This paper presents a Learning Automata (LA)-based QoS (LAQ) framework capable of
addressing some of the challenges and demands of various cloud applications. The …

Recently, the IEEE 802.15. 6 Task Group introduced a new wireless communication
standard that provides a suitable framework specifically to support the requirements of …

In order to meet the growing needs for wireless communication in dynamic and diverse
circumstances, Cognitive Radio Networks (CRNs) have evolved as a transformational …

This article studies the sensor activation control for the optimization of green energy
utilization in an EH-WSN, where both energy generation and target distribution exhibit …

The rapid growth of smart grid systems demands efficient management of smart grid
services. Smart grids are expected to enable the delivery and management of electricity in a …

Cognitive radio networks (CRNs) are networks of nodes equipped with cognitive radios that
can optimize performance by adapting to network conditions. Although various routing …