Data Collection Performance in WSNs by Pattern Variation Discovery: Wireless Sensor Networks - Couverture souple

Muntjir, Mohd

 
9783330047457: Data Collection Performance in WSNs by Pattern Variation Discovery: Wireless Sensor Networks
Couverture souple
ISBN 10 : 3330047453 ISBN 13 : 9783330047457
Editeur : LAP LAMBERT Academic Publishing, 2017

Synopsis

This book provides an extensive knowledge of the most important aspects of Wireless Sensor Networks, especially the data collection performance in WSNs.The primary goal of optimization is to minimize the traveling distance by the robot. The problem can be regarded as a special case of the Travelling Salesman Problem with Neighborhoods (TSPN), tiny sensor nodes, equipped with sensing, communication capabilities and computation can be deployed in large numbers in geographical areas to monitor, detect and report events. The problem of irregularities detection is to find those sensory values that deviate significantly from the norm. This problem is important in the sensor network setting because it can be used to identify abnormal or interesting events or faulty sensors. A new approach named pattern variation discovery is used to solve this problem.Detection of irregularities is tightly interrelated to modeling of sensor data. Therefore, we propose to detect irregular single-attribute sensor data with respect to time or space by building models. This problem is important in the sensor network setting because it can be used to identify abnormal or interesting events or faulty sensors.

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

Présentation de l'éditeur

This book provides an extensive knowledge of the most important aspects of Wireless Sensor Networks, especially the data collection performance in WSNs.The primary goal of optimization is to minimize the traveling distance by the robot. The problem can be regarded as a special case of the Travelling Salesman Problem with Neighborhoods (TSPN), tiny sensor nodes, equipped with sensing, communication capabilities and computation can be deployed in large numbers in geographical areas to monitor, detect and report events. The problem of irregularities detection is to find those sensory values that deviate significantly from the norm. This problem is important in the sensor network setting because it can be used to identify abnormal or interesting events or faulty sensors. A new approach named pattern variation discovery is used to solve this problem.Detection of irregularities is tightly interrelated to modeling of sensor data. Therefore, we propose to detect irregular single-attribute sensor data with respect to time or space by building models. This problem is important in the sensor network setting because it can be used to identify abnormal or interesting events or faulty sensors.

Biographie de l'auteur

Dr.Mohd Muntjir is working in College of Computers and Information Technology Taif University.He received his M.C.A.degree from H.N.B.Garhwal University Uttarakhand India and Ph.D. degree in Computer Science from OPJS University, Rajasthan India.He is a member of professional societies like ACM, IEEE, IAENG, IRED, ISRD,VAS,IJETAE,CSTA.

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
2017
Langue
anglais
ISBN 10 
3330047453
ISBN 13 
9783330047457
Reliure
Broché
Nombre de pages
244
Coordonnées du fabricant
non disponible
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