Cooperative transmission schemes for energy-efficient collaborative wireless sensor networks

Naeem, M.K, Patwary, M.N, Soliman, A and Abdel-maguid, Mohamed (2014) Cooperative transmission schemes for energy-efficient collaborative wireless sensor networks. IET Science Measurement and Technology, 8 (6). pp. 391-398. ISSN 1751-8822

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Energy conservation is one of the prime concerns that leads the researcher to investigate collaborative wireless sensor networks with some application specific challenges. Such challenges include combining distributed data synchronously, performing power aware signal processing, defining communication methods that can provide progressive accuracy and, optimising processing and communication for signal transmission. A cooperative resource selection and transmission scheme is proposed to improve the performance of collaborative wireless sensor networks in terms of maintaining link reliability. A measure of Channel Quality Index (CQI) is also proposed to obtain dynamic adaptivity and to optimise resource usage within wireless sensor networks according to environment conditions. As part of the proposed cooperative nature of transmission, the recently proposed transmit-receive antenna selection scheme and lattice reduction algorithm have also been considered. It is assumed that channel state information (CSI) is estimated at receiver and also there is a feedback link between the wireless sensing nodes and the fusion centre receiver. From the simulation results it is observed that for 99.99% detection reliability, the proposed adaptive transmission scheme and proposed hybrid scheme consume only 15% and 18% of energy respectively as compared to the conventional cooperative transmission.

Item Type: Article
Uncontrolled Keywords: antennas, wireless sensor networks, signal processing
Subjects: Q Science > Q Science (General)
T Technology > T Technology (General)
Divisions: Faculty of Health & Science > Department of Science & Technology
Depositing User: David Upson-Dale
Date Deposited: 19 Jul 2018 09:45
Last Modified: 19 Jul 2018 09:45

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