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Authors: Ijeoma Okeke ; Alastair Allen ; David Hendry and Fabio Verdicchio

Affiliation: University of Aberdeen, United Kingdom

ISBN: 978-989-758-169-4

Keyword(s): Energy Analysis, Distributed Processing, Architecture, Fairness, Network Lifetime, Wireless Sensor Networks.

Related Ontology Subjects/Areas/Topics: Data Manipulation ; Multi-Sensor Data Processing ; Network Performance ; Obstacles ; Power Management ; Sensor Networks ; Wireless Information Networks

Abstract: Wireless Sensor Networks (WSN) are networks of low-cost communication devices with sensing and computational capabilities enabling remote, real-time measurement, monitoring and control of divers physical and environmental parameters. As WSNs are typically battery powered, energy-aware techniques are critical for extending its lifetime. Aside from energy-efficient communication protocols, distributed processing strategies are being explored whereby,computational capabilities of sensor nodes are utilised to locally process sensed data in order to reduce communication cost. However, as local processing increases, the impact of processing energy cost becomes significant creating a need to analyse WSNs under this emergent scenario as previous work have focused mostly on communication cost. We analysed the energy cost for WSN under different processing architectures. We used a fairness metric to quantify the fairness of energy cost distribution in the network. Our results showed a positive correlation between fairness and network lifetime. Hence, we argue that local processing can be exploited to reduce transmission and improve system performance without adversely reducing network lifetime. We conclude that although local processing marginally increases node energy consumption, it improves overall network life time as energy cost is evenly distributed in the network. Moreover, it enhances network maintenance as nodes have similar lifetimes. (More)

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Paper citation in several formats:
Okeke, I.; Allen, A.; Hendry, D. and Verdicchio, F. (2016). Analysis of Processing Architectures for Wireless Sensor Networks.In Proceedings of the 5th International Confererence on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-169-4, pages 129-136. DOI: 10.5220/0005735701290136

@conference{sensornets16,
author={Ijeoma Okeke. and Alastair Allen. and David Hendry. and Fabio Verdicchio.},
title={Analysis of Processing Architectures for Wireless Sensor Networks},
booktitle={Proceedings of the 5th International Confererence on Sensor Networks - Volume 1: SENSORNETS,},
year={2016},
pages={129-136},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005735701290136},
isbn={978-989-758-169-4},
}

TY - CONF

JO - Proceedings of the 5th International Confererence on Sensor Networks - Volume 1: SENSORNETS,
TI - Analysis of Processing Architectures for Wireless Sensor Networks
SN - 978-989-758-169-4
AU - Okeke, I.
AU - Allen, A.
AU - Hendry, D.
AU - Verdicchio, F.
PY - 2016
SP - 129
EP - 136
DO - 10.5220/0005735701290136

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