학술논문

Identification and Revocation of Faulty Nodes from Deployment Area
Document Type
Conference
Source
2021 International Conference on Computational Intelligence and Computing Applications (ICCICA) Computational Intelligence and Computing Applications (ICCICA), 2021 International Conference on. :1-6 Nov, 2021
Subject
Computing and Processing
Engineering Profession
Fault diagnosis
Wireless sensor networks
Base stations
Computer architecture
Kinetic theory
Dispersion
Computational intelligence
SNs
WSNs
Distribution
Relocation
FRMNs
Language
Abstract
Wireless Sensor Networks (WSNs) is one of the arduous disciplines of research. The nodes of the network are often distributed at random from a flying base station (BS) in the deployment region, resulting in an unequal distribution of SNs and they may also be harmed as a result of natural disasters. To achieve a uniform dispersion, these stationary SNs require exogenous kinetics to establish suitable location in the deployment zone. The paper envisions the incorporation of framework to implement fault revocation and a uniform distribution of SNs in the deployment region. This helps the sink nodes utilize the similar amount of energy. These static SNs acquire exogenous kinetics from energy rich MSNs for their uniform distribution. However, if a node is destroyed as a result of environmental activities, the architecture allows for fault revocation in the deployment region using a Fault Revoking Mobile Sensor Node (FRMN).