Adaptive Monitoring and Localization of Faulty Node in a Wireless Sensor Network

  • James Agajo MIASCIT,MIRDA,MNSE, COREN Reg.,IAENG.
  • Okhaifoh J.
  • Onyebuchi Nosiri
  • Ekwueme Emmanuel Uchenna
Keywords: WSN, Faulty node, Adaptive Monitoring, Data Acquisition.

Abstract

This work seeks to solve the problem that is being experienced in most existing remote monitoring systems by coming up with an enhanced monitoring system called Wireless Sensor Network. A Personal Area Network was evolved to increase the coverage area by spatially distributing Sensor nodes to capture and transmit physical parameters like temperature and Carbon monoxide in an indoor local cooking environment. Faulty node detection and localization was also realized, this was achieved by coming up with an algorithm that logically considers the receive signal strength value of -100 dbm as threshold, Result of data transmitted were viewed via a C-Sharp interface for Adaptive monitoring. The result from the Visual Basic plot shows that the Sensor nodes were able to capture temperature range of between 250C  to 510C  while the result of the CO emission shows an interval of 0.01g/m3  to 30.0 g/m3. A comparison between data transmitted at source and data received at the destination (sink) was carried out, a ranking test was used to validate the data received, a 0.9325 correlation value was obtained which shows a high level of integrity of 93.25% .                                                                

Author Biography

James Agajo, MIASCIT,MIRDA,MNSE, COREN Reg.,IAENG.
Dr James Agajo is a senior Lecturer with the Federal University of Technology Minna, Department of Computer Engineering Minna , Niger State  Nigeria , He has many publication to his record at national and international level,  he is a member of many Bodies amongst which are IASCIT,MIRDA,MNSE, COREN Reg.,IAENG.  he's reseach interest are Wireless smart system and network, Intelligent system design, Telecommincation and Computer,  Signal Processing Dr James Agajo Is married with kids

References

[1] Gbenga Owojaiye Yichuang Sun,(2012), Focal design issues affecting the deployment of wireless sensor networks for pipeline monitoring, Elsevier Volume 11, Issue 3, May 2013, Pages 1237–125
[2] I.F.Akyildiz, W. Su, Y. Sankarasubramaniam E. Capirci, “Wireless Sensor Networks: a Survey”, Computer Networks, Vol 38, N. 4, March 2002.
[3] Khan et al., 2011] Khan, S. A., Daachi, B., and Djouani, K. (2011). Overcoming localization errors due to node power drooping in a wireless sensor network. International Journal of Electronics and Telecommunications, 57(3):341–346
[4] D. Estrin, L. Girod, G. Pottie, M. Srivastava, “Instrumenting the world with wireless sensor networks”, Proc. Acoustics, Speech, and Signal Processing, vol. 4, pp. 2033–2036, 2001.
[5] Habib F. Rashvand , Jose M. Alcaraz, Distributed Sensor Network Practice and Application, John Wiley & Sons Ltd Publication 2012 pp81-91 2012
[6] Regalia and Wang, 2010 Regalia, P. andWang, J. (2010). On distance reconstruction for sensor network localization. In IEEE International Conference on Acoustics, Speech and Signal Processing, pages 2866–2869.
[7] Nishant Jakhar, Rainu Nandal (2012) , A Secure Data Aggregation Approach In Wsn Using Ann, Ijreas Pp 2-4.
[8] Khan et al., 2010a] Khan, S. A., Daachi, B., and Djouani, K. (2010a). Enhanced sensor localization through compensation of battery level decay. Fifth International Conference on Broadband and Biomedical Communications 2010 (IB2Com), pages 1–5.
[9] Romer, K.; Mattern, F., "The design space of wireless sensor networks," Wireless Communications, IEEE, vol.11, no.6, pp. 54-61, Dec. 2004.
[10] Seo Hyun Oh, Chan O. Hong, Yoon Hwa Choi (2012) Application of fuzzy inference systems to detection of faults in wireless sensor networks Elsevier Volume 94, 1 Pp 111-120
[11] A. Mainwaring, D. Culler, J. Polastre, R. Szewczyk, and J. Anderson, “Wireless sensor networks for habitat monitoring,” Proc. ACM international workshop on Wireless sensor networks and applications, pp. 88–97, 2002.
[12] C. Hartung, R. Han, C. Seielstad, and S. Holbrook, “FireWxNet: a multitiered portable wireless system for monitoring weather conditions in wildland fire environments,” Proc. International conference on Mobile systems, applications and services, pp. 28–41, 2006.
[13] K. Yunseop; R.G. Evans; W.M. Iversen, "Remote Sensing and Control of an Irrigation System Using a Distributed Wireless Sensor Network," IEEE Trans. on Instrumentation and Measurement, vol.57, no.7, pp.1379-1387, July 2008
[14] A. Baggio, “Wireless sensor networks in precision agriculture”, in Proc. ACM Workshop on Real-World Wireless Sensor Networks (REALWSN 2005), Stockholm, Sweden, June 2005.
[15] M. Bertocco; G. Gamba; A. Sona; S. Vitturi., "Experimental Characterization of Wireless Sensor Networks for Industrial Applications," IEEE Trans. on Instrumentation and Measurement, vol.57, no.8, pp.1537-1546, Aug. 2008
[16] S. Antifakos, F. Michahelles, and B. Schiele, “Proactive Instructions for Furniture Assembly,” in Proc. Ubicomp 2002 Gothenburg, Sweden, Sept. 2002.
[17] K.B. Lee; M.E. Reichardt, "Open standards for homeland security sensor networks," IEEE Magazine on Instrumentation & Measurement, vol.8, no.5, pp. 14-21, Dec. 2005 19
[18] A.M. Mielke; S.M. Brennan; M.C. Smith; D.C. Torney; A.B. Maccabe; JF. Karlin, "Independent sensor networks," IEEE Magazine on Instrumentation & Measurement, vol.8, no.2, pp. 33-37, Jun 2005
[19] W. Dai-Hua; L. Wei-Hsin, "Wireless transmission for health monitoring of large structures," IEEE Trans. On Instrumentation and Measurement, vol.55, no.3, pp. 972-981, June 2006-
[20] H. Baldus, K. Klabunde, and G. Muesch, “Reliable Set-Up of Medical Body-Sensor Networks,” in Proc. EWSN 2004 Berlin, Germany, Jan. 2004.
[21] ON World Inc, “Wireless Sensor Networks – Growing Markets, Accelerating Demands”, July 2005, available at http://www.onworld.com/html/wirelesssensorsrprt2.htm.
[22] Embedded WiSeNTs Consortium, “Embedded WiSeNts Research Roadmap (Deliverable 3.3)”, available at www.embedded-wisents.org.
[23] IEEE Pervasive Computing, “Energy Harvesting and Conservation”, Vol. 4, Issue 1, Jan-Mar. 2005.
[25] Alippi, C.; Galperti, C., "An Adaptive System for Optimal Solar Energy Harvesting in Wireless Sensor Network Nodes," Circuits and Systems I: Regular Papers, IEEE Transactions on , vol.55, no.6, pp.1742-1750, July 2008.
[26] Geffrey K. Ottman, Heath F. Hofmann, Archin C. Bhatt and George A. Lesieutre ”Adaptive Piezoelectric Energy Harvesting Circuit for Wireless Remote Power Supply” in IEEE Transactions on Power Electronics, Vol. 17, No. 5, September 2002 pp. 669 - 776.
[27 ]”Energy Harvesting Projects”, Collections of articles on IEEE Pervasive Computing, pp. 69-71, January-March 2005.
[28] J.A. Paradiso and T. Starner, ”Energy scaveging for mobile and wireless electronics” in IEEE Pervasive Computing, Vol.4, January-March 2005, pp. 18-27.
[29] S. Roundy, E.S. Leland, J. Baker, E. Carleton, E. Reilly, E. Lai, B. Otis, J.M. Rabaey, P.K. Wright and V. Sundararajan, ”Improving power output for vibration-based energy scavengers” in IEEE Pervasive Computing, Vol.4, January-March 2005, pp.
Published
2015-08-31