A Study of Channel Classification Agreement in Urban Wireless Sensor Network Environments

Aikaterini Vlachaki, Ioanis Nikolaidis, Janelle Harms

2014

Abstract

We consider a wireless sensor network in an urban environment and attempt to characterize the interference found in the communication channel by means of empirically collected Received Signal Strength Indicator (RSSI) values over Industrial, Scientific and Medical (ISM) and non-ISM bands. We assume a node-based interference classification scheme exists and examine whether nodes that classify the channel as belonging to the same class also exhibit strong cross-correlation in terms of the RSSI time series they independently observe. In effect, we are studying how the agreement of nodes, e.g., via consensus, on the class of a channel can be linked to the cross-correlation statistic and to what extent. We find that the particular class impacts the degree to which we can confidently claim that the channel observed independently by each node, and classified to belong to the same class, indeed behaves the same way.

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Paper Citation


in Harvard Style

Vlachaki A., Nikolaidis I. and Harms J. (2014). A Study of Channel Classification Agreement in Urban Wireless Sensor Network Environments . In Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-001-7, pages 249-259. DOI: 10.5220/0004716102490259


in Bibtex Style

@conference{sensornets14,
author={Aikaterini Vlachaki and Ioanis Nikolaidis and Janelle Harms},
title={A Study of Channel Classification Agreement in Urban Wireless Sensor Network Environments},
booktitle={Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2014},
pages={249-259},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004716102490259},
isbn={978-989-758-001-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - A Study of Channel Classification Agreement in Urban Wireless Sensor Network Environments
SN - 978-989-758-001-7
AU - Vlachaki A.
AU - Nikolaidis I.
AU - Harms J.
PY - 2014
SP - 249
EP - 259
DO - 10.5220/0004716102490259