Wireless sensor networks (WSNs) are typically used with dynamic conditions of task-related environments for sensing (monitoring) and gathering of raw sensor data for subsequent …
S Shao, A Razzaq - Resources Policy, 2022 - Elsevier
Improving resource efficiency and environmental quality is one of the top priorities for both advanced and emerging economies. Climate vulnerability instigates in building and …
M Elhoseny, K Shankar - IEEE transactions on reliability, 2019 - ieeexplore.ieee.org
In recent years, the need for high security with reliability in the wireless network has tremendously been increased. To provide high security in reliable networks, mobile ad hoc …
R Liu, Z Qu, G Huang, M Dong, T Wang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Using highly maneuverable Unmanned Aerial Vehicles (UAV) to collect data is a fast and efficient method that is widely studied. In most studies, they assume that the UAVs can …
There has been a huge surge in the Internet of Things (IoT) applications in recent years. The sensor nodes in the IoT network generate data continuously that directly affects the longevity …
DL Reddy, C Puttamadappa, HN Suresh - Pervasive and Mobile …, 2021 - Elsevier
Abstract Nowadays, in Wireless Sensor Network (WSN), the ability to transfer data over the network via a better route seems to be the tactic aspect due to certain criteria like network …
S Kaur, R Mahajan - Egyptian Informatics Journal, 2018 - Elsevier
Energy efficiency has recently turned out to be primary issue in wireless sensor networks. Sensor networks are battery powered, therefore become dead after a certain period of time …
H Mohapatra, AK Rath - IET wireless sensor systems, 2020 - Wiley Online Library
The study aims to understand the various types of faults occur in a wireless sensor network (WSN). The primary objective of the fault‐tolerant technique is to enhance the robustness …
The significance of wireless sensor network (WSN) applications is to examine dangerous and remote fields that are not reachable or complex or expensive to reach human insights …