Z Mammeri - Ieee Access, 2019 - ieeexplore.ieee.org
Reinforcement learning (RL), which is a class of machine learning, provides a framework by which a system can learn from its previous interactions with its environment to efficiently …
In wireless networks, context awareness and intelligence are capabilities that enable each host to observe, learn, and respond to its complex and dynamic operating environment in an …
Wireless sensor network (WSN) consists of a large number of sensors and sink nodes which are used to monitor events or environmental parameters, such as movement, temperature …
S Ergun, I Sammour, G Chalhoub - Computer Networks, 2023 - Elsevier
Rapid adoption of mobile devices, coupled with the increase in prominence of mobile applications and services, resulted in unprecedented infrastructure requirements for mobile …
J Dowling, E Curran, R Cunningham… - IEEE Transactions on …, 2005 - ieeexplore.ieee.org
Designers face many system optimization problems when building distributed systems. Traditionally, designers have relied on optimization techniques that require either prior …
Y Chen, Y Liu, M Zeng, U Saleem, Z Lu… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Driven by the soaring traffic demand and the growing diversity of mobile services, wireless networks are evolving to be increasingly dense and heterogeneous. Accordingly, in such …
T Hendriks, M Camelo, S Latré - 2018 14th International …, 2018 - ieeexplore.ieee.org
In the last decade, several routing algorithms have been proposed in ad hoc wireless networks. However, most of them require either a high bandwidth, to maintain a full routing …
Wireless mesh networks are popular due to their adaptability, easy-setup, flexibility, cost, and transmission time-reductions. The routing algorithm plays a vital role in transferring the …
This paper presents a distributed Reinforcement Learning (RL) framework for synthesizing wireless network protocols in IoT and Wireless Sensor Networks with low-complexity …