Routing in wireless sensor networks using machine learning techniques: Challenges and opportunities
Energy conservation is the primary task in Wireless Sensor Networks (WSNs) as these tiny
sensor nodes are the backbone of today's Internet of Things (IoT) applications. These nodes …
sensor nodes are the backbone of today's Internet of Things (IoT) applications. These nodes …
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 …
An improved congestion-aware routing mechanism in sensor networks using fuzzy rule sets
Congestion-free routing of packets across a Wireless Sensor Network (WSN) is an important
issue to be addressed for quick response applications such as disaster management …
issue to be addressed for quick response applications such as disaster management …
Machine learning algorithms in WSNs and its applications
Wireless sensor network (WSN) the unique and utmost encouraging tools for monitoring the
real-time applications. It has been utilized in various areas particularly for offering real-time …
real-time applications. It has been utilized in various areas particularly for offering real-time …
Energy-aware clustering and efficient cluster head selection
Clustering is an efficient technique to organize network resources efficiently and, in wireless
sensor Networks (WSNs) communications it is used to group sensors with similar …
sensor Networks (WSNs) communications it is used to group sensors with similar …
Energy optimization in path arbitrary wireless sensor network
A network of wireless sensors is a self‐infrastructure approach with many sensory nodes.
The distributed sensory nodes communicate with each other via sensory points. In wireless …
The distributed sensory nodes communicate with each other via sensory points. In wireless …
Fuzzy based energy proficient secure clustered routing (FEPSRC) for IOT-MWSN
DG Kiruba, J Benitha - Journal of Intelligent & Fuzzy Systems, 2022 - content.iospress.com
Abstract IoT-Mobile Wireless Sensor Networks (IMWSNs) are being employed in a variety of
simulators to visually demonstrate the exposure, energy usage situation, and expected life …
simulators to visually demonstrate the exposure, energy usage situation, and expected life …
[PDF][PDF] Efficient clustering protocol using fuzzy K-means and midpoint algorithm for lifetime improvement in WSNs
N Srikanth, MSG Prasad - … Journal of Intelligent Engineering and Systems, 2018 - inass.org
Due to shortage of power source, energy is the significant concern part in Wireless Sensor
Systems. Wireless Sensor Networks (WSNs) are currently used in numerous kinds of WSN …
Systems. Wireless Sensor Networks (WSNs) are currently used in numerous kinds of WSN …
[PDF][PDF] Selection of machine learning techniques for network lifetime parameters and synchronization issues in wireless networks
N Srilakshmi, AK Sangaiah - Journal of Information Processing …, 2019 - koreascience.kr
In real time applications, due to their effective cost and small size, wireless networks play an
important role in receiving particular data and transmitting it to a base station for analysis, a …
important role in receiving particular data and transmitting it to a base station for analysis, a …
Machine Learning Algorithms for Optimization and Intelligence in Wireless Networks: WSNs, MANETs, VANETs, and USNs
Wireless sensor networks (WSNs), mobile ad hoc networks (MANETs), vehicular ad hoc
networks (VANETs), and underwater sensor networks (USNs) are dynamic and resource …
networks (VANETs), and underwater sensor networks (USNs) are dynamic and resource …