Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges
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 …
research in agricultural and farming domain. In recent times, WSNs are widely applied in …
Learning and reasoning in cognitive radio networks
L Gavrilovska, V Atanasovski… - … Surveys & Tutorials, 2013 - ieeexplore.ieee.org
Cognitive radio networks challenge the traditional wireless networking paradigm by
introducing concepts firmly stemmed into the Artificial Intelligence (AI) field, ie, learning and …
introducing concepts firmly stemmed into the Artificial Intelligence (AI) field, ie, learning and …
ETH‐LEACH: An energy enhanced threshold routing protocol for WSNs
Many wireless sensor‐based applications use LEACH as a preferred routing protocol owing
to its unique features such as optimal sleeping time, minimum packet collisions, dynamic …
to its unique features such as optimal sleeping time, minimum packet collisions, dynamic …
[图书][B] Distributed strategic learning for wireless engineers
H Tembine - 2018 - taylorfrancis.com
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 …
among the participants, game theory's application to networking systems is not without …
Learning automata-based QoS framework for cloud IaaS
S Misra, PV Krishna, K Kalaiselvan… - … on Network and …, 2014 - ieeexplore.ieee.org
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 …
addressing some of the challenges and demands of various cloud applications. The …
Performance analysis of IEEE 802.15. 6 MAC protocol under non-ideal channel conditions and saturated traffic regime
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 …
standard that provides a suitable framework specifically to support the requirements of …
Techniques employed in distributed cognitive radio networks: a survey on routing intelligence
R Priyadarshi, RR Kumar, Z Ying - Multimedia Tools and Applications, 2024 - Springer
In order to meet the growing needs for wireless communication in dynamic and diverse
circumstances, Cognitive Radio Networks (CRNs) have evolved as a transformational …
circumstances, Cognitive Radio Networks (CRNs) have evolved as a transformational …
Green energy optimization in energy harvesting wireless sensor networks
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 …
utilization in an EH-WSN, where both energy generation and target distribution exhibit …
Learning automata as a utility for power management in smart grids
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 …
services. Smart grids are expected to enable the delivery and management of electricity in a …
Artificial intelligence based cognitive routing for cognitive radio networks
J Qadir - Artificial Intelligence Review, 2016 - Springer
Cognitive radio networks (CRNs) are networks of nodes equipped with cognitive radios that
can optimize performance by adapting to network conditions. Although various routing …
can optimize performance by adapting to network conditions. Although various routing …