Research Article | Open Access
Reliability Measure Model for Assistive Care Loop Framework Using Wireless Sensor Networks
Body area wireless sensor networks (BAWSNs) are time-critical systems that rely on the collective data of a group of sensor nodes. Reliable data received at the sink is based on the collective data provided by all the source sensor nodes and not on individual data. Unlike conventional reliability, the definition of retransmission is inapplicable in a BAWSN and would only lead to an elapsed data arrival that is not acceptable for time-critical application. Time-driven applications require high data reliability to maintain detection and responses. Hence, the transmission reliability for the BAWSN should be based on the critical time. In this paper, we develop a theoretical model to measure a BAWSN's transmission reliability, based on the critical time. The proposed model is evaluated through simulation and then compared with the experimental results conducted in our existing Active Care Loop Framework (ACLF). We further show the effect of the sink buffer in transmission reliability after a detailed study of various other co-existing parameters.
- Venki Balasubramanian and D. B. Hoang, “SOAP-based Assistive Care Loop using Wireless Sensor Networks,” in Proceedings of the 1st IEEE International Symposium on IT in Medicine and Education, pp. 409–414, Xiamen, China, 2008.
- D. B. Hoang, C. Homer, E. Lawrence et al., “Assistive Care Loop with Electronic Maternity Records,” in Proceedings of the 10th IEEE International Conference on e-Health Networking, Applications and Services, pp. 118–123, Singapore, 2008.
- E. Jovanov, D. Raskovic, J. Price, J. Chapman, A. Moore, and A. Krishnamurthy, “Patient Monitoring Using Personal Area Networks Of Wireless Intelligent Sensors,” Biomedical Sciences Instrumentation, vol. 37, pp. 373–378, 2001.
- L. S. Wilson, R. Gill, I. F. Sharp et al., “Building The Hospital Without Walls - A CSIRO Home Telecare Initiative,” Telemedicine Journal, vol. 6, no. 2, pp. 275–281, 2000.
- M. Alwan, S. Dalal, D. Mack, B. Turner, J. Leachtenauer, and R. Felder, “Impact of Monitoring Technology in Assisted Living: Outcome Pilot,” IEEE Transactions on Information Technology in Biomedicine, vol. 10, no. 1, pp. 192–198, 2006.
- Harvard University, CodeBlue Project: Wireless Sensor Networks for Medical Care, http://fiji.eecs.harvard.edu/CodeBlue [accessed January 24, 2010].
- G. Holland and N. Vaidya, “Analysis of TCP Performance over Mobile Ad Hoc Networks,” in Proceedings of the 5th Annual ACM/IEEE International Conference on Mobile Computing and Networking, pp. 219–230, Seattle, WA, 1999.
- F. Wang and Y. Zhang, “Improving TCP Performance over Mobile Ad-Hoc Networks with Out-of-Order Detection and Response,” in Proceedings of the 3rd ACM International Symposium on Mobile Ad Hoc networking and computing, pp. 217–225, Lausanne, Switzerland, 2002.
- C. Y. Wan, A. T. Campbell, and L. Krishnamurthy, “PSFQ: A Reliable Transport Protocol for Wireless Sensor Networks,” in Proceedings of the 1st ACM International Workshop on Wireless Sensor Networks and Applications, pp. 1–11, Atlanta, Georgia, 2002.
- S. Park, R. Vedantham, R. Sivakumar, and I. Akyildiz, “A Scalable Approach for Reliable Downstream Data Delivery in Wireless Sensor Networks,” in Proceedings of the 5th ACM International Symposium on Mobile Ad Hoc Networking and Computing, pp. 78–89, New York, NY, 2004.
- F. Stann and J. Heideman, “RMST: Reliable Data Transport in Sensor Networks,” in Proceedings of the 1st IEEE International Workshop on Sensor Network Protocols and Applications, pp. 102–113, Anchorage, AK, 2003.
- J. Barbar'an, M. D'laz, I. Esteve, and B. Rubio, “RadMote: A Mobile Framework for Radiation Monitoring in Nuclear Power Plants,” International Journal of Electronics, Circuits and Systems, vol. 1, no. 2, pp. 160–165, 2007.
- Venki Balasubramanian and San Murugesan, “Adaptation of Web Pages for Hand-held Devices,” in Proceedings of the 5th International Conference on Web Engineering, LNCS Springer, pp. 435–440, Sydney, Australia, 2005.
- Y. Sankarasubramaniam, O. Akan, and I. Akyildiz, “ESRT: Event-to-Sink Reliable Transport in Wireless Sensor Networks,” in Proceedings of the 4th ACM International Symposium on Mobile Ad Hoc Networking and Computing, pp. 177–188, Annapolis, Maryland, 2003.
- S. Brown and C. J. Sreenan, “A Study on Data Aggregation and Reliability in Managing Wireless Sensor Networks,” in Proceedings of the 4th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, pp. 1–7, Pisa, Italy, 2007.
- T. Pazynyuk, Li. Jian Zhong, G. S. Oreku, and L. Pan, “Qos as Means of Providing WSNs Security,” in Proceedings of the 7th International Conference on Networking, pp. 66–71, Cancun, Mexico, 2008.
- L. Zhengming, L. Baosen, and P. Tianhong, “The Research on Reliability of Wireless Sensors Network,” in Proceedings of the 3rd IEEE International Conference on Networking, Sensing and Control, pp. 1449–1452, Hainan, China, 2008.
- Crossbow Technology Inc., Motes, Wearable Sensors, http://www.xbow.com/ [accessed January 24, 2010].
- TinyOS Embedded Operating System, http://www.tinyos.net [accessed January 24, 2010].
- S. Shin, S. Choi, H. S. Park, and W. H. Kwon, “Packet error rate analysis of IEEE 802.15.4 under IEEE 802.11b Interference,” in Proceedings of the 3rd International Conference on Wired/Wireless Internet Communications, LNCS, pp. 279–288, Springer, Xanthi, Greece, 2005.
- D. Gay, P. Levis, R. von Behren, M. Welsh, E. Brewer, and D. Culler, “The nesC Language: A Hololistic Approach to Networked Embedded Systems,” in Proceedings of the ACM SIGPLAN conference on Programming Language Design And Implementation, pp. 1–11, San Diego, California, 2003.
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