Intellectus - Intelligent Sensor Motes in Wireless Sensor Network

Tiziana Campana, Gregory M. P. O'Hare

Abstract

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.

References

  1. N. Ramanathan, K. Chang, R. Kapur, L. Kapur, E. Kohler, D. Estrin, Sympathy for the sensor network debugger,In SenSys, 2005
  2. Kebin Liu, Minglu Li, Mo Li, Zhongwen Guo, Yunhao Liu, Passive Diagnosis for Wireless Sensor Networks,In SenSys, 2008
  3. Abhishek B. Sharma, Leana Golubchik, and Ramesh Govindan, Sensor Faults: Detection Methods and Prevalence in Real-World Datasets, in ACM Transactions on Sensor Networks (TOSN), 2010
  4. M.Yu, H.Mokhtar, and M.Merabti A Survey On Fault Management In Wireless Sensor Networks, In Proceedings of the 8th Annual PostGraduate Symposium on The Convergence of Telecommunications, Networking and Broadcasting Liverpool, UK, 2007
  5. M. Asim, Hala Mokhtar, Madjid Merabti, A Self-Managing Fault Management Mechanism for Wireless Sensor Networks, In International Journal of Wireless and Mobile Networks (IJWMN) Vol.2, No.4, November 2010
  6. B. Khelifa, H. Haffaf , Merabti Madjid, and David Llewellyn-Jones, Monitoring Connectivity in Wireless Sensor Networks, In International Journal of Future Generation Communication and Networking Vol. 2, No. 2, June, 2009
  7. Min Ding, Dechang Chen, Kai Xing, Xiuzhen Chen, Localized fault-tolerant event boundary detection in sensor networks, INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings IEEE, Vol. 2 (2005), pp. 902- 913
  8. Harte S., Rahman A., Razeeb K.M., Fault tolerance in sensor networks using self-diagnosing sensor nodes, Intelligent Environments, 2005. The IEE International Workshop on (Ref. No. 2005/11059)
  9. C. Hsina, Mingyan Liub, Self-monitoring of wireless sensor networks, Computer Communications, vol.29, pp.462478, 2005
  10. Andrew S. Tanenbaum, Maarten Van Steen, Distributed Systems: Principles and Paradigms (2nd Edition), Prentice Hall, 2002
  11. Krishnamachari B., Iyengar S., Distributed Bayesian algorithms for fault-tolerant event region detection in wireless sensor networks, IEEE Transactions on Computers, 53:241-250, March 2004
  12. Rakhmatov D., Vrudhula S.B.K., Time-to-failure estimation for batteries in portable electronic systems, in Proceedings of 2001 international Symposium on
  13. Low Power Electronics and Design, pages 88-91,
  14. N. Mehranbod, Masoud Soroush, Chanin Panjapornpon, A method of sensor fault detection and identification, Journal of Process Control 15, pages 321-339, 2004
  15. Ann T. Tai and Kam S. Tso and William H. Sanders, Cluster-Based Failure Detection Service for LargeScale Ad Hoc Wireless Network Applications, in Proceedings of the International Conference on Dependable Systems and Networks (DSN, page.805- 814, 2004
  16. Philip Levis, Nelson Lee, Matt Welsh, and David Culler, TOSSIM: Accurate and Scalable Simulation of Entire TinyOS Applications, in Proc. of the ACM SENSYS, pages. 126-137, 2003
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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

@conference{sensornets13,
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,},
year={2013},
pages={125-132},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004268501250132},
isbn={978-989-8565-45-7},
}


in EndNote Style

TY - CONF
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