Commenced in January 2007
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Practical Applications and Connectivity Algorithms in Future Wireless Sensor Networks

Authors: Mohamed K. Watfa

Abstract:

Like any sentient organism, a smart environment relies first and foremost on sensory data captured from the real world. The sensory data come from sensor nodes of different modalities deployed on different locations forming a Wireless Sensor Network (WSN). Embedding smart sensors in humans has been a research challenge due to the limitations imposed by these sensors from computational capabilities to limited power. In this paper, we first propose a practical WSN application that will enable blind people to see what their neighboring partners can see. The challenge is that the actual mapping between the input images to brain pattern is too complex and not well understood. We also study the connectivity problem in 3D/2D wireless sensor networks and propose distributed efficient algorithms to accomplish the required connectivity of the system. We provide a new connectivity algorithm CDCA to connect disconnected parts of a network using cooperative diversity. Through simulations, we analyze the connectivity gains and energy savings provided by this novel form of cooperative diversity in WSNs.

Keywords: Wireless Sensor Networks, Pervasive Computing, Eye Vision Application, 3D Connectivity, Clusters, Energy Efficient, Cooperative diversity.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1076664

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References:


[1] B. Warneke, K.S.J. Pister, "MEMS for distributed wireless sensor networks", International Conference on Electronics, Circuits and Systems, Croatia, September 2002, Pages: 291-294.
[2] K. Sohrabi, Gao, Ailawadhi and Pottie, "Protocols for self- Organization of a Wireless Sensor Network", IEEE Personal Communications, October 2000, Pages: 16-27.
[3] N. Bulusu, Estrin, Girod, Heidemann, "Scalable coordination for wireless sensor networks: self-configuring localization systems", Proceedings of International Symposium on Communication Theory and Applications (ISCTA 2001), Ambleside, UK, July 2001, Pages: 1797-1800.
[4] A. Cerpa, D. Estrin, "ASCENT: adaptive self-configuring sensor networks topologies", Proceedings of IEEE INFOCOM 2002, Pages: 1278-1287.
[5] Y.H. Nam et al., "Development of remote diagnosis system integrating digital telemetry for medicine", Proceedings of International Conference IEEE-EMBS, Hong Kong, 1998, Pages: 1170-1173.
[6] E.M. Petriu, N.D. Georganas, D.C. Petriu, D. Makrakis, V.Z. Groza, "Sensor-based information appliances", IEEE Instrumentation and Measurement Magazine, December 2000, Pages: 31-35
[7] Leonard R, "Statistics on vision impairment: A resource manual", Lighthouse International, February 1999.
[8] C. Veraart, F. Duret, M. Brelen, J. Delbeke, "Vision Rehabilitation with the Optic Nerve Visual Prosthesis", Proceedings of the 26th annual international conference of the IEEE EMBS, San Francisco, CA, USA, September 2004, Pages: 4163-4165.
[9] H. Zhang and J. C. Hou, "Maintaining sensing coverage and connectivity in large sensor networks", International Journal of Wireless Ad Hoc and Sensor Networks, 2005, Volume: 1, No. 2, Pages: 89-124.
[10] X. Wang, G. Xing, Y. Zhang, C. Lu, R. Pless, and C. D. Gill, "Integrated coverage and connectivity configuration in Wireless Sensor Networks" Proceedings of the First ACM Conference on Embedded Networked Sensor Systems (SenSys-03), November 2003, Pages: 28-39.
[11] I. Maric and R. Yates, "Efficient multihop broadcast for wideband systems", Proceedings of DIMACS Workshop on Signal Processing for Wireless Transmission, Piscataway, October 2002, Pages: 285-299.
[12] A. Sendonaris, E. Erkip, and B. Aazhang, "Increasing uplink capacity via user cooperation diversity," Proceedings of IEEE International Symposium on Information Theory, 1998, Page: 156.
[13] A. Sendonaris, E. Erkip, and B. Aazhang, "User cooperation - Part I: System description," and "User cooperation - Part II: Implementation aspects and performance analysis," IEEE Transactions on Communications, Volume: 51, No. 11, November 2003, Pages: 1927- 1938.
[14] J. Laneman, D. Tse, and G. Wornell, "Cooperative diversity in wireless networks: Efficient protocols and outage behavior," IEEE Transactions on Information Theory, December 2004, Volume: 50, No. 12, Pages: 3062-3080.
[15] Birsen Sirkeci-Mergen and Anna Scaglione. "Coverage analysis of cooperative broadcast in wireless networks", Proceedings of the Fifth IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Lisbon, Portugal, July 2004, Pages: 16-20.
[16] Watfa M., Commuri S., "Coverage strategies in 3D wireless sensor networks", International Journal of Distributed Sensor Networks, Taylor & Francis Publishers , Volume: 2, No. 4, October 2006, Pages: 333-353.
[17] Watfa M., Commuri S., "The three dimensional coverage problem", Journal of Networks, JNW, Academic Publishers, Volume: 1, No. 4, August 2006, Pages: 10-20.