Improving the Efficiency of Wireless Sensor Networks through Signal Processing Techniques
Charlie Eapen1, A.K Jaiswal2, Mukesh Kumar3, Ravi Jon4, A.Ashok5
1Charlie Eapen, Department of Electronics and Communication Engineering Sam Higginbottom Institute of Agricultural Technology and Sciences Allahabad, India.
2Prof. A.K Jaiswal, Department of Electronics and Communication Engineering Sam Higginbottom Institute of Agricultural Technology and Sciences Allahabad, India.
Mukesh Kumar, Department of Electronics and Communication Engineering Sam Higginbottom Institute of Agricultural Technology and Sciences Allahabad, India.
Ravi Jon, Department of Electronics and Communication Engineering Sam Higginbottom Institute of Agricultural Technology and Sciences Allahabad, India.
A. Ashok. Department of Electronics and Communication Engineering Sam Higginbottom Institute of Agricultural Technology and Sciences Allahabad, India.
Manuscript received on May 22, 2012. | Revised Manuscript received on June 02, 2012. | Manuscript published on June 30, 2012. | PP: 421-424 | Volume-1 Issue-5, June 2012. | Retrieval Number: E0566061512/2012©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The minimization of energy consumption in modern technology has become a crucial element of research in engineering it is not only advantageous to realizing versatile, robust designs, but also the demand of an environmentally-awakened society. In the case of wireless networking, discovering energy-efficient solutions is just as important to the practicality and success of the technology as it is to commercialization and public reception. In this paper we show that a large portion of the beamforming gains can be realized even with imperfect synchronization corresponding to phase errors with reasonably large variance. We present a master-slave architecture where a designated master transmitter coordinates the synchronization of other (slave) transmitters for beamforming. We observe that the transmitters can achieve distributed beamforming with minimal coordination with the Base Station using channel reciprocity. Thus, inexpensive local coordination with a master transmitter makes the expensive communication with a distant Base Station receiver more efficient.
Keywords: Wireless Sensor Network (WSN), Master-Slave Architecture, Signal Processing.