Cover Image

Energy-Efficient Routing Algorithm for Wireless Sensor Networks: A Multi-Agent Reinforcement Learning Approach

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Soltani, Parham, Eskandarpour, Mehrshad, Ahmadizad, Amir, Soleimani, Hossein
Format:	Preprint
Published:	2025
Subjects:	Networking and Internet Architecture
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Game-Theoretic and Reinforcement Learning-Based Cluster Head Selection for Energy-Efficient Wireless Sensor Network
by: Eskandarpour, Mehrshad, et al.
Published: (2025)

Adaptive Vision-Based Coverage Optimization in Mobile Wireless Sensor Networks: A Multi-Agent Deep Reinforcement Learning Approach
by: Soltani, Parham, et al.
Published: (2025)

Deep Reinforcement Learning Approach to QoSAware Load Balancing in 5G Cellular Networks under User Mobility and Observation Uncertainty
by: Eskandarpour, Mehrshad, et al.
Published: (2025)

DRAMA: A Dynamic Packet Routing Algorithm using Multi-Agent Reinforcement Learning with Emergent Communication
by: Zhang, Wang, et al.
Published: (2025)

AMHRP: Adaptive Multi-Hop Routing Protocol to Improve Network Lifetime for Multi-Hop Wireless Body Area Network
by: Yaqoob, Muhammad Mateen, et al.
Published: (2025)

Deep Reinforcement Learning for Multi-flow Routing in Heterogeneous Wireless Networks
by: Kim, Brian, et al.
Published: (2025)

Scalable and Energy-Efficient Predictive Data Collection in Wireless Sensor Networks with Constructive Interference
by: Muldoon, Conor
Published: (2025)

Enhancing Lifetime and Reliability in WSNs: Complementary of Dual‐Battery Systems Energy Management Strategy
by: Mehrshad Eskandarpour, et al.
Published: (2025)

GLo-MAPPO: Multi-Agent Deep Reinforcement Learning for Energy-Efficient UAV-Assisted LoRa Networks
by: Ahmed, Abdullahi Isa, et al.
Published: (2025)

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks
by: Tong, Bowei, et al.
Published: (2025)

NetWorld: Communication-Based Diffusion World Model for Multi-Agent Reinforcement Learning in Wireless Networks
by: Meng, Kechen, et al.
Published: (2026)

Energy-Efficient Routing Protocol in Vehicular Opportunistic Networks: A Dynamic Cluster-based Routing Using Deep Reinforcement Learning
by: Sani, Meisam Sharifi, et al.
Published: (2025)

Integrating Battery-Less Energy Harvesting Devices in Multi-hop Industrial Wireless Sensor Networks
by: Van Leemput, Dries, et al.
Published: (2023)

Efficient Energy Harvesting in Wireless Sensor Networks of Smart Grid
by: Baroudi, Uthman, et al.
Published: (2019)

Synergistic and Efficient Edge-Host Communication for Energy Harvesting Wireless Sensor Networks
by: Mishra, Cyan Subhra, et al.
Published: (2024)

Ant Backpressure Routing for Wireless Multi-hop Networks with Mixed Traffic Patterns
by: Erfaniantaghvayi, Negar, et al.
Published: (2024)

Dynamic Low Power Traffic Pattern for Energy Constrained Wireless Sensor Networks
by: Alauthman, Almamoon
Published: (2025)

Mobility-Aware Resource Allocation for mmWave IAB Networks: A Multi-Agent Reinforcement Learning Approach
by: Zhang, Bibo, et al.
Published: (2022)

Intelligent Routing Algorithm over SDN: Reusable Reinforcement Learning Approach
by: Wumian, Wang, et al.
Published: (2024)

Play to Earn in the Metaverse with Mobile Edge Computing over Wireless Networks: A Deep Reinforcement Learning Approach
by: Chua, Terence Jie, et al.
Published: (2023)

Deep Reinforcement Learning-Based RAN Slicing with Efficient Inter-Slice Isolation in Tactical Wireless Networks
by: Filali, Abderrahime, et al.
Published: (2025)

Quantum Reinforcement Learning for 6G and Beyond Wireless Networks
by: Tran, Dinh-Hieu, et al.
Published: (2025)

Optimize Energy Consumption of Wireless Sensor Networks by using modified Ant Colony Optimization ACO
by: Razooqi, Yasameen Sajid, et al.
Published: (2024)

A Novel Reinforcement Learning Routing Algorithm for Congestion Control in Complex Networks
by: Yajadda, Seyed Hassan, et al.
Published: (2023)

Queue-Aware and Resilient Routing in LEO Satellite Networks Using Multi-Agent Reinforcement Learning
by: Liaq, Mudassar, et al.
Published: (2026)

HGFF: A Deep Reinforcement Learning Framework for Lifetime Maximization in Wireless Sensor Networks
by: Han, Xiaoxu, et al.
Published: (2024)

Advanced Mathematical Modelling for Energy-Efficient Data Transmission and Fusion in Wireless Sensor Networks
by: Komal
Published: (2024)

Energy-Efficient Online Scheduling for Wireless Powered Mobile Edge Computing Networks
by: He, Xingqiu, et al.
Published: (2026)

A Hybrid Cluster-Based Classification Model for Anomaly Detection in Unbalanced IoT Networks
by: Barzoki, Hossein Shaemi, et al.
Published: (2026)

Collaborative Optimization of Wireless Communication and Computing Resource Allocation based on Multi-Agent Federated Weighting Deep Reinforcement Learning
by: Wu, Junjie, et al.
Published: (2024)

Tutorial on Large Language Model-Enhanced Reinforcement Learning for Wireless Networks
by: Cai, Lingyi, et al.
Published: (2025)

Routing Algorithm for Software Defined Network Based on Boxcovering Algorithm
by: Turlykozhayeva, Dana, et al.
Published: (2024)

Applications of Multi-Agent Deep Reinforcement Learning Communication in Network Management: A Survey
by: Pi, Yue, et al.
Published: (2024)

A Multi-Agent Reinforcement Learning Scheme for SFC Placement in Edge Computing Networks
by: Li, Congzhou, et al.
Published: (2024)

An Overlay Multicast Routing Method Based on Network Situational Awareness and Hierarchical Multi-Agent Reinforcement Learning
by: Ye, Miao, et al.
Published: (2026)

Multi-Agent Reinforcement Learning for Task Offloading in Wireless Edge Networks
by: Fox, Andrea, et al.
Published: (2025)

Multi-Agent Deep Reinforcement Learning for Optimized Multi-UAV Coverage and Power-Efficient UE Connectivity
by: Cai, Xuli, et al.
Published: (2025)

Fast Decision Algorithms for Efficient Access Point Assignment in SDN-Controlled Wireless Access Networks
by: Fondo-Ferreiro, Pablo, et al.
Published: (2024)

A Novel Energy-Efficient Cross-Layer Design for Scheduling and Routing in 6TiSCH Networks
by: Hannachi, Ahlam, et al.
Published: (2024)

Machine Learning Epidemic Predictions Using Agent-based Wireless Sensor Network Models
by: Nwokoye, Chukwunonso Henry, et al.
Published: (2025)