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Distributed Multi-Head Clustering for People-Centric Sensor Networks

Authors:
Kevin Wiesner
Markus Duchon
Michael Dürr

Keywords: People-centric sensing; Mobile phone sensing; Clustering

Abstract:
The emergence of powerful sensor-equipped smartphones led to a new form of people-centric sensing networks (PCSN), in which users collect sensor information via their mobile phone. This kind of mobile sensing allows for large-scale data collection on low costs but introduces new challenges: PCSNs need to cope with continuously contributed data and keep transmission and energy costs for users at a minimum in order to reach large-scale participation. In this paper, we propose a Distributed Multi-Head Clustering (DMHC) algorithm that aims at resolving these problems by forming sensing clusters with different roles for participating nodes. We conducted simulations to evaluate DMHC and our analysis shows that it significantly reduces mobile network traffic and user costs without introducing too much overhead.

Pages: 53 to 58

Copyright: Copyright (c) IARIA, 2012

Publication date: August 19, 2012

Published in: conference

ISSN: 2308-4405

ISBN: 978-1-61208-207-3

Location: Rome, Italy

Dates: from August 19, 2012 to August 24, 2012