Forest fire detection system using wireless sensor networks and machine learning
U Dampage, L Bandaranayake, R Wanasinghe… - Scientific reports, 2022 - nature.com
Forest fires have become a major threat around the world, causing many negative impacts
on human habitats and forest ecosystems. Climatic changes and the greenhouse effect are …
on human habitats and forest ecosystems. Climatic changes and the greenhouse effect are …
A machine learning approach to predict the k-coverage probability of wireless multihop networks considering boundary and shadowing effects
Network coverage is a pivotal performance metric of wireless multihop networks (WMNs)
determining the quality of service rendered by the network. Earlier, a few studies have …
determining the quality of service rendered by the network. Earlier, a few studies have …
Maximizing lifetime of range-adjustable wireless sensor networks: A neighborhood-based estimation of distribution algorithm
Sensor activity scheduling is critical for prolonging the lifetime of wireless sensor networks
(WSNs). However, most existing methods assume sensors to have one fixed sensing range …
(WSNs). However, most existing methods assume sensors to have one fixed sensing range …
A novel fault detection and recovery technique for cluster‐based underwater wireless sensor networks
The performance of underwater wireless sensor network gets affected by the working of a
cluster in the network. The cluster head (CH) or cluster member (CM) fails because of …
cluster in the network. The cluster head (CH) or cluster member (CM) fails because of …
Coverage hole detection and restoration algorithm for wireless sensor networks
In wireless sensor networks (WSNs), preserving coverage of the target area by the sensor
nodes is crucial to deliver certain services. However, a few sensor nodes die during the …
nodes is crucial to deliver certain services. However, a few sensor nodes die during the …
A mobile node localization algorithm based on an overlapping self-adjustment mechanism
K Li, H Wang, S Li - Information Sciences, 2019 - Elsevier
The aim of this study is to improve the accuracy of the mobile node localization in coal mines
and to avoid the influence caused by moving direction-offsets which are introduced by the …
and to avoid the influence caused by moving direction-offsets which are introduced by the …
Improved data aggregation for cluster based underwater wireless sensor networks
While performing underwater monitoring tasks, energy of the sensor nodes in Underwater
Wireless Sensor Networks (UWSNs) vanishes continuously all over the network. The …
Wireless Sensor Networks (UWSNs) vanishes continuously all over the network. The …
A survey on behavioral pattern mining from sensor data in Internet of Things
MM Rashid, J Kamruzzaman, MM Hassan… - IEEE …, 2020 - ieeexplore.ieee.org
The deployment of large-scale wireless sensor networks (WSNs) for the Internet of Things
(IoT) applications is increasing day-by-day, especially with the emergence of smart city …
(IoT) applications is increasing day-by-day, especially with the emergence of smart city …
On balanced k-coverage in visual sensor networks
Given a set of directional visual sensors, the k-coverage problem determines the orientation
of minimal directional sensors so that each target is covered at least k times. As the problem …
of minimal directional sensors so that each target is covered at least k times. As the problem …
An exact approach to extend network lifetime in a general class of wireless sensor networks
This paper provides a general framework to model and optimize lifetime maximization
problems in wireless sensor networks with sensors having specialized capabilities like the …
problems in wireless sensor networks with sensors having specialized capabilities like the …