Multi-agent deep reinforcement learning for packet routing in tactical mobile sensor networks

AA Okine, N Adam, F Naeem… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Tactical wireless sensor networks (T-WSNs) are used in critical data-gathering military
operations, such as battlefield surveillance, combat monitoring, and intrusion detection …

Deep reinforcement learning-based multi-hop state-aware routing strategy for wireless sensor networks

A Zhang, M Sun, J Wang, Z Li, Y Cheng, C Wang - Applied Sciences, 2021 - mdpi.com
With the development of wireless sensor network technology, the routing strategy has
important significance in the Internet of Things. An efficient routing strategy is one of the …

[HTML][HTML] 3R: A reliable multi agent reinforcement learning based routing protocol for wireless medical sensor networks

MS Hajar, HK Kalutarage, MO Al-Kadri - Computer Networks, 2023 - Elsevier
Abstract Interest in the Wireless Medical Sensor Network (WMSN) is rapidly gaining
attention thanks to recent advances in semiconductors and wireless communication …

Deep graph reinforcement learning based intelligent traffic routing control for software-defined wireless sensor networks

R Huang, W Guan, G Zhai, J He, X Chu - Applied Sciences, 2022 - mdpi.com
Software-defined wireless sensor networks (SDWSN), where the data and control planes
are decoupled, are more suited to handling big sensor data and effectively monitoring …

Toward packet routing with fully distributed multiagent deep reinforcement learning

X You, X Li, Y Xu, H Feng, J Zhao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Packet routing is one of the fundamental problems in computer networks in which a router
determines the next-hop of each packet in the queue to get it as quickly as possible to its …

Deep reinforcement learning aided packet-routing for aeronautical ad-hoc networks formed by passenger planes

D Liu, J Cui, J Zhang, C Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Data packet routing in aeronautical ad-hoc networks (AANETs) is challenging due to their
high-dynamic topology. In this paper, we invoke deep reinforcement learning for routing in …

Packet routing with graph attention multi-agent reinforcement learning

X Mai, Q Fu, Y Chen - 2021 IEEE Global Communications …, 2021 - ieeexplore.ieee.org
Packet routing is a fundamental problem in communication networks that decides how the
packets are directed from their source nodes to their destination nodes through some …

Energy-efficient and delay-guaranteed routing algorithm for software-defined wireless sensor networks: A cooperative deep reinforcement learning approach

Y Wang, F Shang, J Lei - Journal of Network and Computer Applications, 2023 - Elsevier
Wireless sensor networks (WSNs) have undergone rapid development but still suffer from
energy shortage issues. Meanwhile, existing energy-efficient routing approaches lack a …

Multiple agent based reinforcement learning for energy efficient routing in WSN

D Prabhu, R Alageswaran, S Miruna Joe Amali - Wireless Networks, 2023 - Springer
Wireless sensor network (WSN) is an evergreen research area, which always looks for
energy efficiency. The main challenge for attaining energy efficiency in WSN is data …

Feature engineering for deep reinforcement learning based routing

J Suárez-Varela, A Mestres, J Yu… - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
Recent advances in Deep Reinforcement Learning (DRL) techniques are providing a
dramatic improvement in decision-making and automated control problems. As a result, we …