Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/15598
Title: Mobile filtering for error-bounded data collection in sensor networks
Authors: Wang, D 
Xu, J
Liu, J
Wang, F
Keywords: Data Collection
Mobile Filter
Sensor Networks
Issue Date: 2008
Publisher: IEEE
Source: The 28th International Conference on Distributed Computing Systems, 2008 : ICDCS '08, 17-20 June 2008, Beijing, p. 530-537 How to cite?
Abstract: In wireless sensor networks, filters, which suppress data update reports within predefined error bounds, effectively reduce the traffic volume for continuous data collection. All prior filter designs, however, are stationary in the sense that each filter is attached to a specific sensor node and remains stationary over its lifetime. In this paper, we propose mobile filter, a novel design that explores migration of filters to maximize overall traffic reduction. A mobile filter moves upstream along the data collection path, with its residual size being updated according to the collected data. Intuitively, this migration extracts and relays unused filters, leading to more proactive suppressing of update reports. We start by presenting an optimal filter migration algorithm for a chain topology. The algorithm is then extended to general multi-chain and tree topologies. Extensive simulations demonstrate that, for both synthetic and real data traces, the mobile filtering scheme significantly reduces data traffic and extends network lifetime against a state-of-the-art stationary filtering scheme.
URI: http://hdl.handle.net/10397/15598
ISBN: 978-0-7695-3172-4
978-0-7695-3172-4 (E-ISBN)
ISSN: 1063-6927
DOI: 10.1109/ICDCS.2008.41
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

8
Last Week
0
Last month
Citations as of Sep 18, 2017

Page view(s)

30
Last Week
1
Last month
Checked on Sep 18, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.