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Badr, H., khalaf, G. (2013). SENSING COVERAGE AND OPTIMAL POWER ASSIGNMENT IN WIRELESS SENSOR NETWORKS. JES. Journal of Engineering Sciences, 41(No 1), 159-169. doi: 10.21608/jesaun.2013.114698
Hesham Badr; Gamal Abdel Fadeeel khalaf. "SENSING COVERAGE AND OPTIMAL POWER ASSIGNMENT IN WIRELESS SENSOR NETWORKS". JES. Journal of Engineering Sciences, 41, No 1, 2013, 159-169. doi: 10.21608/jesaun.2013.114698
Badr, H., khalaf, G. (2013). 'SENSING COVERAGE AND OPTIMAL POWER ASSIGNMENT IN WIRELESS SENSOR NETWORKS', JES. Journal of Engineering Sciences, 41(No 1), pp. 159-169. doi: 10.21608/jesaun.2013.114698
Badr, H., khalaf, G. SENSING COVERAGE AND OPTIMAL POWER ASSIGNMENT IN WIRELESS SENSOR NETWORKS. JES. Journal of Engineering Sciences, 2013; 41(No 1): 159-169. doi: 10.21608/jesaun.2013.114698

SENSING COVERAGE AND OPTIMAL POWER ASSIGNMENT IN WIRELESS SENSOR NETWORKS

Article 9, Volume 41, No 1, January and February 2013, Page 159-169  XML PDF (329.24 K)
Document Type: Research Paper
DOI: 10.21608/jesaun.2013.114698
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Authors
Hesham Badr1; Gamal Abdel Fadeeel khalaf2
1Ass. Prof., Electronics, Communications and Computer Department, Faculty of Engineering, Helwan, Cairo
2Prof., Electronics, Communications and computer Department, Faculty of Engineering, Helwan, Cairo
Abstract
This paper addressed the sensing coverage problem in wireless sensor networks. A sensing coverage range estimation scheme is presented and analytically validated. In presence of channel fading, we have also proposed a Lagrange based, optimal power assignment algorithm that guarantees a predefined probability of detection over the sensor-to-fusion center communication channels at a given probability of false alarm. Analytic results reflect the effectiveness of the proposed algorithms which tries to make the network operational point falls in the feasible SNR region at the lowest (optimal) transmission energy consumption.
Keywords
Wireless sensor networks; Sensing coverage; Constraint optimization; Adaptive power assignment
Main Subjects
Electrical Engineering, Computer Engineering and Electrical power and machines engineering.
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