Data Collection Performance in WSNs by Pattern Variation Discovery: Wireless Sensor Networks - Tapa blanda

Muntjir, Mohd

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

Sinopsis

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.

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Reseña del editor

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.

Biografía del autor

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.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2017
Idioma
Inglés
ISBN 10 
3330047453
ISBN 13 
9783330047457
Encuadernación
Tapa blanda
Número de páginas
244
Contacto del fabricante
no disponible
Persona responsable
no disponible