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Adaptive Energy Efficient Fuzzy Clustering for Landslide Detection: A Wireless Sensor Network Based Approach - Couverture souple

Ahmed, Suhaib; Gupta, Swastik; Suri, Ashish

 
9783659922282: Adaptive Energy Efficient Fuzzy Clustering for Landslide Detection: A Wireless Sensor Network Based Approach
Couverture souple
ISBN 10 : 3659922285 ISBN 13 : 9783659922282
Editeur : LAP LAMBERT Academic Publishing, 2016

Synopsis

The research work presented in this book aims to optimize the energy consumption of wide scale Wireless Sensor Networks by deploying a novel and adaptive, improvement and modification on the traditional clustering of the cells of the network for Landslide Detection. Thus an Adaptive Energy Efficient Fuzzy (AEEF) Clustering approach has been presented in this book for a Landslide Detection System. Clustering of sensor nodes is preferred because it improves the scalability of the network, has better data aggregation which dramatically reduces transmission data and saves energy, reduces latency and provides with collision avoidance along with ensuring high connectivity and fault tolerance. The proposed algorithm is validated by carrying out simulations and the results show that the proposed clustering approach is highly energy efficient and thus increases the lifetimes of the nodes deployed for sensing a Landslide along with being adaptive to any changes in the ambient conditions. This analysis should be especially useful to professionals and students or anyone else involved in applications of Communications and Sensor Networks for Environmental monitoring.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

The research work presented in this book aims to optimize the energy consumption of wide scale Wireless Sensor Networks by deploying a novel and adaptive, improvement and modification on the traditional clustering of the cells of the network for Landslide Detection. Thus an Adaptive Energy Efficient Fuzzy (AEEF) Clustering approach has been presented in this book for a Landslide Detection System. Clustering of sensor nodes is preferred because it improves the scalability of the network, has better data aggregation which dramatically reduces transmission data and saves energy, reduces latency and provides with collision avoidance along with ensuring high connectivity and fault tolerance. The proposed algorithm is validated by carrying out simulations and the results show that the proposed clustering approach is highly energy efficient and thus increases the lifetimes of the nodes deployed for sensing a Landslide along with being adaptive to any changes in the ambient conditions. This analysis should be especially useful to professionals and students or anyone else involved in applications of Communications and Sensor Networks for Environmental monitoring.

Biographie de l'auteur

Author's are affiliated with Department of Electronics and Communication Engineering, Shri Mata Vaishno Devi University, Katra, 182320, India. Their research interests include application of wireless sensor networks in healthcare and environmental monitoring, signal processing and leveraging Internet of Things.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2016
Langue
anglais
ISBN 10 
3659922285
ISBN 13 
9783659922282
Reliure
Broché
Nombre de pages
108
Coordonnées du fabricant
non disponible
Personne responsable
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