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ThinkMind // ICN 2011, The Tenth International Conference on Networks // View article icn_2011_11_20_10134


Opportunistic Sensing in Wireless Sensor Networks

Authors:
Hans Scholten
Pascal Bakker

Keywords: opportunistic sensing, wireless sensor network, context awareness, activity recognition

Abstract:
Opportunistic sensing systems consist of changing constellations of wireless sensor nodes that, for a limited amount of time, work together to achieve a common goal. Such constellations are self-organizing and come into being spontaneously. This paper presents an opportunistic sensing system to select a subset of sensor nodes out of a larger set based on a common context. We show that it is possible to use a wireless sensor network to make a distinction between carriages from different trains. The common context in this case is acceleration, which is used to select a subset of carriages that belong to the same train. Simulations based on a realistic set of sensor data establish that the method is valid, but that the algorithm is too complex for implementation. Downscaling reduces the number of processor execution cycles as well as memory usage, and makes the algorithm suitable for implementation on a wireless sensor node with acceptable loss of precision. Actual implementation on wireless sensor nodes confirms the results obtained with the simulations.

Pages: 224 to 229

Copyright: Copyright (c) IARIA, 2011

Publication date: January 23, 2011

Published in: conference

ISSN: 2308-4413

ISBN: 978-1-61208-113-7

Location: St. Maarten, The Netherlands Antilles

Dates: from January 23, 2011 to January 28, 2011

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