Design and implementation of building energy monitoring and management system based on wireless sensor networks

Abo-Zahhad, Mohammed and Ahmed, Sabah M and Farrag, Mohammed and Ahmed, Mohammed FA and Ali, Abdelhay (2015) Design and implementation of building energy monitoring and management system based on wireless sensor networks. In: Computer Engineering & Systems (ICCES), 2015 Tenth International Conference on.

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Abstract

Spectrum sensing is the most important component in the cognitive radio (CR) technology. Spectrum sensing has considerable technical challenges, especially in wideband systems where higher sampling rates are required which increases the complexity and the power consumption of the hardware circuits. Compressive sensing (CS) is successfully deployed to solve this problem. Although CS solves the higher sampling rate problem, it does not reduce complexity to a large extent. Spectrum sensing via CS technique is performed in three steps: sensing compressed measurements, reconstructing the Nyquist rate signal, and performing spectrum sensing on the reconstructed signal. Compressed detectors perform spectrum sensing from the compressed measurements skipping the reconstruction step which is the most complex step in CS. In this paper, we propose a novel compressed detector using energy detection technique on compressed measurements sensed by the discrete cosine transform (DCT) matrix. The proposed algorithm not only reduces the computational complexity but also provides a better performance than the traditional energy detector and the traditional compressed detector in terms of the receiver operating characteristics. We also derive closed form expressions for the false alarm and detection probabilities. Numerical results show that the analytical expressions coincide with the exact probabilities obtained from simulations.

Item Type: Conference or Workshop Item (Paper)
Subjects: Electrical Engineering
Divisions: College Of Engineering > Electrical Engineering
Depositing User: mohammed farrag
Date Deposited: 26 Nov 2017 17:36
Last Modified: 26 Nov 2017 17:36
URI: http://eprints.kku.edu.sa/id/eprint/1464

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