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A systematic review of quality of service in wireless sensor networks using machine learning: Recent trend and future vision
Abstract Wireless Sensor Network (WSN) is used in different research areas such as military,
industry, healthcare, agriculture, Internet of Things (IoT), transportation, and smart cities. The …
industry, healthcare, agriculture, Internet of Things (IoT), transportation, and smart cities. The …
Routing in wireless multimedia sensor networks: A survey and challenges ahead
H Shen, G Bai - Journal of Network and Computer Applications, 2016 - Elsevier
Abstract Wireless Multimedia Sensor Networks (WMSNs) have drawn tremendous attention
because of their potential impact on scientific research and their numerous attractive …
because of their potential impact on scientific research and their numerous attractive …
Machine learning algorithms for wireless sensor networks: A survey
Wireless sensor network (WSN) is one of the most promising technologies for some real-
time applications because of its size, cost-effective and easily deployable nature. Due to …
time applications because of its size, cost-effective and easily deployable nature. Due to …
Energy-efficient intelligent routing scheme for IoT-enabled WSNs
Recently, the Internet of Things (IoT) has attracted much interest in its wide applications,
such as smart healthcare, home automation, transportation, and smart city. In these IoT …
such as smart healthcare, home automation, transportation, and smart city. In these IoT …
EOMR: An energy-efficient optimal multi-path routing protocol to improve QoS in wireless sensor network for IoT applications
The wireless sensor network based IoT applications mainly suffers from end to end delay,
loss of packets during transmission, reduced lifetime of sensor nodes due to loss of energy …
loss of packets during transmission, reduced lifetime of sensor nodes due to loss of energy …
Optimizing the lifetime of wireless sensor networks via reinforcement-learning-based routing
In wireless sensor networks, optimizing the network lifetime is an important issue. Most of the
existing works define network lifetime as the time when the first sensor node exhausts all of …
existing works define network lifetime as the time when the first sensor node exhausts all of …
QGeo: Q-Learning-Based Geographic Ad Hoc Routing Protocol for Unmanned Robotic Networks
This letter proposes a novel protocol that uses Q-learning-based geographic routing (QGeo)
to improve the network performance of unmanned robotic networks. A rapid and reliable …
to improve the network performance of unmanned robotic networks. A rapid and reliable …
[HTML][HTML] An energy-efficient distributed adaptive cooperative routing based on reinforcement learning in wireless multimedia sensor networks
D Wang, J Liu, D Yao, I Member - Computer Networks, 2020 - Elsevier
Complex task processing and frequent data communication in Wireless Multimedia Sensor
Networks (WMSN) demand for energy-efficient and Quality of Service (QoS) guarantee to …
Networks (WMSN) demand for energy-efficient and Quality of Service (QoS) guarantee to …
RLBEEP: Reinforcement-learning-based energy efficient control and routing protocol for wireless sensor networks
One of the most important topics in the field of wireless sensor networks is the development
of approaches to improve network lifetime. In this paper, an energy-efficient control and …
of approaches to improve network lifetime. In this paper, an energy-efficient control and …
Quality of service of routing protocols in wireless sensor networks: A review
Due to distributed nature, dynamic topology and resources constraints of tiny sensing nodes
in wireless sensor networks (WSNs), the quality of service (QoS) support is a challenging …
in wireless sensor networks (WSNs), the quality of service (QoS) support is a challenging …