Structural Health Monitoring by Payload Compression in Wireless Sensors Network: An Algorithmic Analysis
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 the structural health monitoring accurate. Since most of the compression algorithm is heavy weight for wireless sensor network with respect to payload compression, here we have analyzed an algorithmic comparison of arithmetic coding algorithm and Huffman coding algorithm. Evaluation shows that arithmetic coding is more efficient than Huffman coding for payload compression
Kim, Sukun, et al. (2007). Health monitoring of civil infrastructures using wireless sensor networks. IPSN '07 Proceedings of the 6th international conference on Information processing in sensor networks, New York, USA.254-263.Available at: https://dl.acm.org/citation.cfm?doid=1236360.1236395.
Xu, Ning, et al. (2004). A wireless sensor network for structural monitoring.Proceedings of the 2nd international conference on Embedded networked sensor systems,ACM Press.13-24. Available at: http://graphics.stanford.edu/courses/cs321-05-fall/Readings/structural.pdf.
Hsu, Chia-Hao, et al. (2014). An implementation of light-weight compression algorithm for wireless sensor network technology in structure health monitoring.IEEE World Forum on Internet of Things (WF-IoT), Seoul, South Korea. Available at: https://ieeexplore.ieee.org/document/6803227/.
Jiang, Xiang-dong, Yu-liang Tang, & Ying Lei. (2009). Wireless sensor networks in structural health monitoring based on zigbee technology.3rd International Conference on Anti-counterfeiting, Securityand Identification in Communication, Hong Kong, China. Available at: https://ieeexplore.ieee.org/document/5276977/.
Shahbahrami, Asadollah, et al. (2011). Evaluation of huffman and arithmetic algorithms for multimedia compression standards. arXiv preprint arXiv:1109.0216, 1-11. Available at: https://arxiv.org/ftp/arxiv/papers/1109/1109.0216.pdf.
Langdon Jr& Glen G. (1984). An introduction to arithmetic coding. IBM Journal of Research and Development, 28(2), 135-149.
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