Fr. 65.00

Low-power Distributed Data Storage in Wireless Sensor Networks - Design and Experimental Validation in the Internet of Things

English, German · Paperback / Softback

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Description

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Sensor networks are a promising approach and a multi-disciplinary venture that combines computer networks, signal processing, software engineering, embedded systems, and statistics on the technology side. On the scientific applications side, they cover a large spectrum: safety and security of buildings or spaces, measuring traffic flows, environmental engineering, and ecology, to cite a few. Sensor networks also play an essential role in the era of the Internet of Things, as our personal mobile devices interact with sensor networks dispatched in the environment. Unfortunately, experimentation of sensor networks quickly becomes a nightmare if the number of nodes to be installed exceeds a few dozens. SensLAB is a very large scale open wireless sensor network testbed, which deploys 1024 nodes over 4 interconnected sites and offers a reference tool for the wireless sensor network community. This book gives a comprehensive description of the Senslab platform through two relevant topics. The first topic covers IP connectivity in low-power smart objects and Internet of Things. The second topic covers distributed data storage techniques to reduce packet loss and energy consumption.

About the author










Pietro Gonizzi received the Master Degree in Telecomunications Engineering at the University of Parma, Italy, in 2011. Currently, he is doing a PhD on wireless sensor networks and Internet of Things. He holds several research papers in the field of sensor networks. He also worked on the EU project CALIPSO. This book is part of his master thesis.

Product details

Authors Pietro Gonizzi
Publisher Edizioni Accademiche Italiane
 
Languages English, German
Product format Paperback / Softback
Released 01.01.2014
 
EAN 9783639655186
ISBN 978-3-639-65518-6
No. of pages 108
Dimensions 150 mm x 220 mm x 6 mm
Weight 160 g
Subject Natural sciences, medicine, IT, technology > IT, data processing > Data communication, networks

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