Comparative Analysis on the Competitiveness of Conventional and Compressive Sensing-based Query Processing

Book chapter

Fayed, Salema, Youssef, Sherin, El-Helw, Amr, Akbari, Akbar Sheikh, Patwary, Mohammad and Moniri, M. 2014. Comparative Analysis on the Competitiveness of Conventional and Compressive Sensing-based Query Processing. in: Advances in Information Science and Applications, Volume 1: Proceedings of the 18th International Conference on Computers (part of CSCC '14) Institute for Natural Sciences and Engineering (INASE).
AuthorsFayed, Salema, Youssef, Sherin, El-Helw, Amr, Akbari, Akbar Sheikh, Patwary, Mohammad and Moniri, M.
Abstract

Optimization of the lifetime of the battery within
wireless sensor networks (WSNs) is challenging due to
communication infrastructure. Subsequently, minimizing the
amount of power required for data collection and processing to
serve the intended purposes has become an open research
problem. Conventional and compressive sensing-based (CS) query
processing being the candidates to perform these tasks, require a
comparative analysis in the current WSN application context. In this
paper. Simulations have been carried out to compare the
performance of conventional and compressive sensing-based (CS)
query processing with respect to energy efficiency, sensing reliability
and normalized estimation error within WSN. A significant
reduction in the computational complexity reaching 70% is noticed
using CS compared to conventional query processing algorithms.
Moreover, it is observed that up to 90% sensing reliability can be
achieved with CS compared to existing query processing. Hence, the
reduction in computational complexity has not compromised the
sensing reliability with an observed reduction in the normalized
estimation error.

Book titleAdvances in Information Science and Applications, Volume 1: Proceedings of the 18th International Conference on Computers (part of CSCC '14)
Year2014
PublisherInstitute for Natural Sciences and Engineering (INASE)
Publication dates
Print21 Jul 2014
Publication process dates
Deposited23 Aug 2017
Series Recent Advances in Computer Engineering
Event18th International Conference on Computers (part of CSCC '14)
ISBN978-1-61804-236-1
ISSN: 1790-5109
Web address (URL)http://www.inase.org/library/2014/santorini/COMPUTERS1.pdf
Journal citation1
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