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  5. Benchmarking latency effects on mobility tracking in WSN
 
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Benchmarking latency effects on mobility tracking in WSN

Author(s)
Tynan, Richard  
O'Grady, Michael J.  
O'Hare, G. M. P. (Greg M. P.)  
Muldoon, Conor  
Uri
http://hdl.handle.net/10197/1250
Date Issued
2009-05
Date Available
2009-07-14T16:42:02Z
Abstract
The number of active nodes in a WSN deployment
governs both the longevity of the network and the accuracy
of applications using the network’s data. As node
hibernation techniques become more sophistocated, it
is important that an accurate evaluation methodology
is employed to ensure fair comparisons across different
techniques. Examining both energy and accuracy
ensures a claim of increased longevity for a particular
technique can be contrasted against its associated
drop, if any, in application accuracy. This change can
also be as a result of increased latency and the accuracy
encapsulates many aspects of WSN performance
in one metric. In this work, we detail the first in a series
of experiments designed to demonstrate the tradeoffs
for a WSN and we employ mobility tracking as
the application to benchmark accuracy. Additionally,
we demonstrate experimental evidence for a potential
adaptive mobility tracking protocol.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
IEEE
Subject – LCSH
Wireless sensor networks--Evaluation
Network performance (Telecommunication)
DOI
10.1109/WAINA.2009.120
Web versions
http://dx.doi.org/10.1109/WAINA.2009.120
Language
English
Status of Item
Peer reviewed
Journal
Awan, I. ... et al. (eds.). The IEEE 23rd International Conference on Advanced Information Networking and Applications Workshops/Symposia WAINA '09
Conference Details
Paper presenened at the Second International Workshop on Applications of Ad hoc and Sensor Networks (AASNET), held at the 23rd IEEE International Conference on Advanced Information Networking and Applications
AINA 2009, 26-29 May 2009, Bradford, United Kingdom
ISBN
978-1-4244-3999-7
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
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Owning collection
Computer Science Research Collection
Mapped collections
CLARITY Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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