Reinforcement and deep reinforcement learning for wireless Internet of Things: A survey

MS Frikha, SM Gammar, A Lahmadi… - Computer Communications, 2021 - Elsevier
Nowadays, many research studies and industrial investigations have allowed the integration
of the Internet of Things (IoT) in current and future networking applications by deploying a …

ETH‐LEACH: An energy enhanced threshold routing protocol for WSNs

PK Chithaluru, MS Khan, M Kumar… - International Journal of …, 2021 - Wiley Online Library
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 …

One protocol to rule them all: Wireless {Network-on-Chip} using deep reinforcement learning

S Jog, Z Liu, A Franques, V Fernando… - … USENIX Symposium on …, 2021 - usenix.org
Wireless Network-on-Chip (NoC) has emerged as a promising solution to scale chip multi-
core processors to hundreds and thousands of cores. The broadcast nature of a wireless …

An adaptive LoRaWAN MAC protocol for event detection applications

A Tsakmakis, A Valkanis, G Beletsioti, K Kantelis… - Sensors, 2022 - mdpi.com
In recent years, the Internet of Things (IoT) is growing rapidly and gaining ground in a variety
of fields. Such fields are environmental disasters, such as forest fires, that are becoming …

Scalable joint learning of wireless multiple-access policies and their signaling

MP Mota, A Valcarce, JM Gorce - 2022 IEEE 95th Vehicular …, 2022 - ieeexplore.ieee.org
In this paper, we apply an multi-agent reinforcement learning (MARL) framework allowing
the base station (BS) and the user equipments (UEs) to jointly learn a channel access policy …

TDMA policy to optimize resource utilization in Wireless Sensor Networks using reinforcement learning for ambient environment

DK Sah, T Amgoth, K Cengiz, Y Alshehri… - Computer …, 2022 - Elsevier
Data packet reaches from the end node to sink in a multihop fashion in the internet of things
(IoTs) and sensor networks. Usually, a head node (among neighboring or special purpose …

Improving the Performance of ALOHA with Internet of Things Using Reinforcement Learning

S Acik, S Kosunalp, MB Tabakcioglu, T Iliev - Electronics, 2023 - mdpi.com
Intelligent medium access control (MAC) protocols have been a vital solution in enhancing
the performance of a variety of wireless networks. ALOHA, as the first MAC approach …

Enhanced traffic-adaptive slotted MAC for IoT-based smart monitoring grid

T Sood, K Sharma - The Journal of Supercomputing, 2021 - Springer
The implementation of a wireless sensor network has been utilized in many applications of
urban and rural areas. One such application is smart-grid Internet of Things,(IoT)-based …

Data aggregation techniques in wireless sensors networks: a survey

SS Ali, N Giweli, A Dawoud… - 2021 6th International …, 2021 - ieeexplore.ieee.org
The rapid growth in Internet of Things IoT applications has increased the demand for
Wireless Sensor Network (WSN) as an essential supportive Ad-hoc network class in the IoT …

Machine learning-based medium access control protocol for heterogeneous wireless networks: A review

NKS Nayak, B Bhattacharyya - 2021 Innovations in Power and …, 2021 - ieeexplore.ieee.org
This research presents a comprehensive investigation of a Machine Learning (ML)-based
Medium Access Control (MAC) protocol strategy for improving heterogeneous wireless …