Kniha Data Collection Performance in WSNs by Pattern Variation Discovery Mohd Muntjir

Data Collection Performance in WSNs by Pattern Variation Discovery

Wireless Sensor Networks

Autor: Mohd Muntjir
Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: U nakladatele na objednávku
Odesíláme za 17-27 dnů
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This book provides an extensive knowledge of the most important aspects of Wireless Sensor Networks,...

Informace o knize

Autor
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2017
Stránek
244
EAN
9783330047457
ISBN
3330047453
Enbook ID
16068775
Hmotnost
380
Rozměry
150 x 220 x 15

Kompletní popis

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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