Machine learning for coverage optimization in wireless sensor networks: a comprehensive review
In the context of wireless sensor networks (WSNs), the utilization of artificial intelligence (AI)-
based solutions and systems is on the ascent. These technologies offer significant potential …
based solutions and systems is on the ascent. These technologies offer significant potential …
[HTML][HTML] Cooperative Multi-Agent Reinforcement Learning for Data Gathering in Energy-Harvesting Wireless Sensor Networks
This study introduces a novel approach to data gathering in energy-harvesting wireless
sensor networks (EH-WSNs) utilizing cooperative multi-agent reinforcement learning …
sensor networks (EH-WSNs) utilizing cooperative multi-agent reinforcement learning …
Towards facilitating power efficient URLLC systems in UAV networks under jittering
Consumer electronics can support sixth-generation (6G) systems and their services,
including ultra-reliable and low-latency communications (URLLC). In this context, unmanned …
including ultra-reliable and low-latency communications (URLLC). In this context, unmanned …
Wireless sensor networks and machine learning centric resource management schemes: A survey
Abstract Wireless Sensor Network (WSN) is a heterogeneous, distributed network composed
of tiny cognitive, autonomous sensor nodes integrated with processor, sensors, transceivers …
of tiny cognitive, autonomous sensor nodes integrated with processor, sensors, transceivers …
Distributed TDMA Scheduling for Autonomous Aerial Swarms: A Self-Organizing Approach
EE Aydin, A Akcasoy, F Cakir, BS Cansiz… - IEEE …, 2024 - ieeexplore.ieee.org
Self-organization is a key strategy for improving the performance of an aerial swarm ad hoc
network. The proliferation of low-cost VTOL drones has broadened the application domain of …
network. The proliferation of low-cost VTOL drones has broadened the application domain of …
An Adaptive Contention Window using Actor-Critic Reinforcement Learning Algorithm for Vehicular Ad-hoc NETworks
The MAC layer IEEE 802.11 p standard's collision avoidance mechanism is sub-optimal due
to the use of a Binary Exponential Backoff (BEB). This technique has an increase in the …
to the use of a Binary Exponential Backoff (BEB). This technique has an increase in the …
Learning MAC protocols in HetNets: A cooperative multi-agent deep reinforcement learning approach
Traditional human-designed medium access control (MAC) protocols cannot tackle the
heterogeneous requirements of the future 6G wireless networks. Reinforcement learning …
heterogeneous requirements of the future 6G wireless networks. Reinforcement learning …
Temporal-correlation modeling for improved CFO estimation: The bimodule CFO estimation (BMCE) framework
The development of beyond-fifth-generation (B5G) communication systems introduces
challenges in maintaining timing and frequency synchronization, especially in low SNR and …
challenges in maintaining timing and frequency synchronization, especially in low SNR and …
[PDF][PDF] Please Use a three-wire Watch a Novel Protocol Designed for Addressing Hidden and Exposed Layer Issues in the Medium Access Control Layer of Mobile …
A new protocol must be developed to address the hidden and exposed layer and the
collision among the nodes is the major challenging factor in Mobile Ad Hoc Network. Many …
collision among the nodes is the major challenging factor in Mobile Ad Hoc Network. Many …