Practical Applications and Connectivity Algorithms in Future Wireless Sensor Networks
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.
[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.
[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.
@article{"International Journal of Electrical, Electronic and Communication Sciences:60148", author = "Mohamed K. Watfa", title = "Practical Applications and Connectivity Algorithms in Future Wireless Sensor Networks", 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.", volume = "2", number = "12", pages = "2825-10", }
