A scalable MAC framework for Internet of Things assisted by machine learning
The vision of the Internet-of-Things (IoT) networks calls for a large number of power
constrained devices communicating with the gateway. To achieve the channel coordination …
constrained devices communicating with the gateway. To achieve the channel coordination …
A machine learning enabled MAC framework for heterogeneous Internet-of-Things networks
Nowadays, an Internet-of-Things (IoT) connected system brings a tremendous paradigm
shift into the medium access control (MAC) design. In this paper, we present a distributed …
shift into the medium access control (MAC) design. In this paper, we present a distributed …
Enhancing IEEE 802.15. 4 access mechanism with machine learning
The Internet of Things (IoT) network consists of resource-constrained tiny devices. An
efficient channel access mechanism for densely deployed IoT devices operating in a lossy …
efficient channel access mechanism for densely deployed IoT devices operating in a lossy …
Machine learning meets computation and communication control in evolving edge and cloud: Challenges and future perspective
Mobile Edge Computing (MEC) is considered an essential future service for the
implementation of 5G networks and the Internet of Things, as it is the best method of …
implementation of 5G networks and the Internet of Things, as it is the best method of …
[HTML][HTML] Seamless Connections: Harnessing Machine Learning for MAC Optimization in Home Area Networks
The latest technologies and communication protocols are arousing a keen interest in
automation, in which the field of home area networks is the most prominent area to work …
automation, in which the field of home area networks is the most prominent area to work …
Performance evaluation of machine learning based channel selection algorithm implemented on IoT sensor devices and its application to wireless sensor network for …
S Hasegawa, R Kitagawa, T Ito… - … in Information and …, 2020 - ieeexplore.ieee.org
The number of IoT devices has dramatically increased. Numerous IoT devices generate
enormous traffic, which causes network congestions and packet losses. To deal with …
enormous traffic, which causes network congestions and packet losses. To deal with …
Device grouping for fast and efficient channel access in IEEE 802.11 ah based IoT networks
The recent advances in Internet of Things (IoT) have led to numerous emerging applications
ranging from eHealthcare to industrial control, which often demand stringent Quality of …
ranging from eHealthcare to industrial control, which often demand stringent Quality of …
Medium access using distributed reinforcement learning for IoTs with low-complexity wireless transceivers
This paper proposes a distributed Reinforcement Learning (RL) based framework that can
be used for synthesizing MAC layer wireless protocols in IoT networks with low-complexity …
be used for synthesizing MAC layer wireless protocols in IoT networks with low-complexity …
A Q-learning-based adaptive MAC protocol for Internet of Things networks
CM Wu, YC Kao, KF Chang, CT Tsai, CC Hou - IEEE Access, 2021 - ieeexplore.ieee.org
In Internet of Things (IoT) applications, sometimes the quality of service (QoS) of throughput
for transmitting video or the QoS of bounded delay for control of a sensor node is required. A …
for transmitting video or the QoS of bounded delay for control of a sensor node is required. A …
enav-enhanced co-existence of ieee 802.15. 4 and ieee 802.11
S Leugner, H Hellbrück - 2019 IEEE International Symposium …, 2019 - ieeexplore.ieee.org
In the future, the Internet of Things will become increasingly important in a Smart City, for
example. Today, however, established radio standards in license-free bands show that …
example. Today, however, established radio standards in license-free bands show that …