Enhanced Structural Health Monitoring by Payload Compression in Wireless Sensors Network

Soualihou, Ngnamsie Njimbouom; Siddiquee, Arham Al Ahmad

dc.contributor.author	Soualihou, Ngnamsie Njimbouom
dc.contributor.author	Siddiquee, Arham Al Ahmad
dc.date.accessioned	2017-10-25T10:16:02Z
dc.date.available	2017-10-25T10:16:02Z
dc.date.issued	2016-11-20
dc.identifier.citation	[1] Kim, Sukun, et al. "Health monitoring of civil infrastructures using wireless sensor networks." Information processing in sensor networks, 2007. IPSN 2007. 6th international symposium on. IEEE, 2007. [2] [2] Xu, Ning, et al. "A wireless sensor network for structural monitoring."Proceedings of the 2nd international conference on Embedded networked sensor systems. ACM, 2004. [3] Hsu, Chia-Hao, et al. "An implementation of light-weight compression algorithm for wireless sensor network technology in structure health monitoring." Internet of Things (WF-IoT), 2014 IEEE World Forum on. IEEE, 2014. [4] Jiang, Xiang-dong, Yu-liang Tang, and Ying Lei. "Wireless sensor networks in Structural Health Monitoring based on ZigBee technology." Anti-counterfeiting, Security, and Identification in Communication, 2009. ASID 2009. 3rd International Conference on. IEEE, 2009. [5] Shahbahrami, Asadollah, et al. "Evaluation of Huffman and arithmetic algorithms for multimedia compression standards." arXiv preprint arXiv: 1109.0216 (2011). [6] Langdon Jr, Glen G. "An introduction to arithmetic coding." IBM Journal of Research and Development 28.2 (1984): 135-149. [7] Bormann, Carsten. "6LoWPAN-GHC: Generic Header Compression for IPv6 over Low-Power Wireless Personal Area Networks (6LoWPANs)." (2014). [8] Kodituwakku, S. R., and U. S. Amarasinghe. "Comparison of lossless data compression algorithms for text data." Indian journal of computer science and engineering 1.4 (2010): 416-425. [9] ELSON, J., AND ESTRIN, D. Time synchronization for wireless sensor networks. In Proceedings of the 15th International Parallel & Distributed Processing Symposium (2001), IEEE Computer Society, p. 186 [10] HILL, J., SZEWCZYK, R., WOO, A., HOLLAR, S., CULLER, D., AND PISTER, K. System architecture directions for networked sensors. SIGPLAN Not. 35, 11 (2000), 93–104 [11] INTANAGONWIWAT, C., GOVINDAN, R., AND ESTRIN, D. Directed diffusion: A scalable and robust communication paradigm for sensor networks. In Proceedings of the Sixth Annual International Conference on Mobile Computing and Networking (Boston, MA, August 2000), ACM Press, pp. 56–67. [12] LYNCH, J. P., SUNDARARAJAN, A., LAW, K. H., KIREMIDJIAN, A. S., AND CARRYER, E. Power-efficient data management for a wireless structural monitoring system. In Proceedings of the 4th International Workshop on Structural Health Monitoring (Stanford, CA, September 15-17 2003), vol. 1. [13] STANN, F., AND HEIDEMANN, J. Rmst: Reliable data transport in sensor networks. In Proceedings of the First International Workshop on Sensor Net Protocols and Applications (Anchorage, Alaska, USA, April 2003), IEEE, pp. 102–112. [14] WAN, C.-Y., CAMPBELL, A. T., AND KRISHNAMURTHY, L. Psfq: A reliable transport protocol for wireless sensor networks. In Proceeding of First ACM International Workshop on Wireless Sensor Networks and Applications (WSNA 2002) (Atlanta, September 2002), pp. 1–11. 37 [15] Tang Yu-liang, Luo Yu, Huang Lian-fen, Guo Jian, Lei Ying, "Wireless sensor network for on-line structural health monitoring", Computer Science & Education (ICCSE) 2012 7th International Conference on, pp. 386-389, 2012. [16] Han Zhi-gang, Cui Cai-hui, "The Application of Zigbee Based Wireless Sensor Network and GIS in the Air Pollution Monitoring", Environmental Science and Information Application Technology 2009. ESIAT 2009. International Conference on, vol. 2, pp. 546-549, 2009. [17] Domenico Balsamo, Giacomo Paci, Luca Benini, Brunelli Davide, "Long term low cost passive environmental monitoring of heritage buildings for energy efficiency retrofitting", Environmental Energy and Structural Monitoring Systems (EESMS) 2013 IEEE Workshop on, pp. 1-6, 2013. [18] Razzaque, Mohammad Abdur, Chris Bleakley, and Simon Dobson. "Compression in wireless sensor networks: A survey and comparative evaluation." ACM Transactions on Sensor Networks (TOSN) 10.1 (2013): 5.	en_US
dc.identifier.uri	http://hdl.handle.net/123456789/100
dc.description	Supervised by Dr. Md. Motaharul Islam Assistant professor Department of Computer Science and Engineering	en_US
dc.description.abstract	Structural health monitoring is the fact of estimating the state of structural health, or detecting the changes in structure that affect its performance. The traditional approach to monitor the structural health is by using centralized data acquisition hub wired to tens or even hundreds of sensors, and the installation and maintenance of these cabled systems represent significant concerns, prompting the move toward wireless sensor network. As cost effectiveness and energy efficiency is a major concern, our main interest is to reduce the amount of overhead while keeping our health monitoring accurate. Our contribution to this structural health monitoring will be to reduce the amount of data to be transmitted that is by compressing the payload of the packets using a compression algorithm and by doing so, we will extend the lifetime of the battery, thus the capacity of the sensor node will increase since less time will be taken to transmit data between intermediate node as well as the node coordinator..	en_US
dc.language.iso	en	en_US
dc.publisher	IUT, CSE	en_US
dc.title	Enhanced Structural Health Monitoring by Payload Compression in Wireless Sensors Network	en_US
dc.type	Thesis	en_US