Intellectus - Intelligent Sensor Motes in Wireless Sensor Network

Tiziana Campana, Gregory M. P. O'Hare


A diverse range of faults and errors can occur within a wireless sensor network (WSN), and it is difficult to predict and classify them, especially post-deployment within the environment. Current monitoring and debugging techniques prove deficient for systems which contain bugs characteristic of both distributed and embedded systems. The challenge that faces researchers is how to comprehensively address network, node and data level anomalies within WSNs through the creation, collection and aggregation of local state information while minimizing additional network traffic and node energy expenditure. This paper introduces Intellectus which seeks to develop sensor motes that are both self and environment aware. The sensor node relies on local information in order to monitor itself and that of its neighborhood, by adding a learning approach based upon perceived events and their associated frequency.


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Paper Citation

in Harvard Style

Campana T. and M. P. O'Hare G. (2013). Intellectus - Intelligent Sensor Motes in Wireless Sensor Network . In Proceedings of the 2nd International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-8565-45-7, pages 125-132. DOI: 10.5220/0004268501250132

in Bibtex Style

author={Tiziana Campana and Gregory M. P. O'Hare},
title={Intellectus - Intelligent Sensor Motes in Wireless Sensor Network},
booktitle={Proceedings of the 2nd International Conference on Sensor Networks - Volume 1: SENSORNETS,},

in EndNote Style

JO - Proceedings of the 2nd International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Intellectus - Intelligent Sensor Motes in Wireless Sensor Network
SN - 978-989-8565-45-7
AU - Campana T.
AU - M. P. O'Hare G.
PY - 2013
SP - 125
EP - 132
DO - 10.5220/0004268501250132