Machine learning in wireless sensor networks for smart cities: a survey
Artificial intelligence (AI) and machine learning (ML) techniques have huge potential to
efficiently manage the automated operation of the internet of things (IoT) nodes deployed in …
efficiently manage the automated operation of the internet of things (IoT) nodes deployed in …
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 …
[HTML][HTML] Hybrid based cluster head selection for maximizing network lifetime and energy efficiency in WSN
KN Dattatraya, KR Rao - Journal of King Saud University-Computer and …, 2022 - Elsevier
A wireless sensor network (WSN) includes more low-cost and less-power sensor nodes. All
the sensor nodes are positioned in a particular area and form a wireless network by way of …
the sensor nodes are positioned in a particular area and form a wireless network by way of …
An improved energy-efficient clustering protocol to prolong the lifetime of the WSN-based IoT
AAH Hassan, WM Shah, AHH Habeb… - Ieee …, 2020 - ieeexplore.ieee.org
A wireless sensor network (WSN) is an important part of the Internet of Things (IoT).
However, sensor nodes of a WSN-based IoT network are constraining with the energy …
However, sensor nodes of a WSN-based IoT network are constraining with the energy …
Energy-efficient coverage optimization in wireless sensor networks based on Voronoi-Glowworm Swarm Optimization-K-means algorithm
A Chowdhury, D De - Ad Hoc Networks, 2021 - Elsevier
Deployment of sensor nodes is one of the crucial factors in mobile wireless sensor networks
for improving the performance of the network. The network's lifetime primarily depends on …
for improving the performance of the network. The network's lifetime primarily depends on …
Implemented IoT-based self-learning home management system (SHMS) for Singapore
Internet of Things makes deployment of smart home concept easy and real. Smart home
concept ensures residents to control, monitor, and manage their energy consumption …
concept ensures residents to control, monitor, and manage their energy consumption …
A heuristic angular clustering framework for secured statistical data aggregation in sensor networks
L Krishnasamy, RK Dhanaraj, D Ganesh Gopal… - Sensors, 2020 - mdpi.com
Clustering in wireless sensor networks plays a vital role in solving energy and scalability
issues. Although multiple deployment structures and cluster shapes have been …
issues. Although multiple deployment structures and cluster shapes have been …
Improved Soft-k-Means Clustering Algorithm for Balancing Energy Consumption in Wireless Sensor Networks
Energy load balancing is an essential issue in designing wireless sensor networks (WSNs).
Clustering techniques are utilized as energy-efficient methods to balance the network …
Clustering techniques are utilized as energy-efficient methods to balance the network …
An improved fruit fly optimization (IFFOA) based cluster head selection algorithm for internet of things
RK Poluru, L Kumar R - International Journal of Computers and …, 2021 - Taylor & Francis
Efficient data broadcasting to nodes of the target is feasible due to the Internet of Things
(IoT) which includes a battery priced at a small value and having a smaller size, along with …
(IoT) which includes a battery priced at a small value and having a smaller size, along with …