Sensor Positioning on Digital Maps for Coverage Maximization by Using Genetic Algorithm

Nazif Cenk Tenğerli; Yaşar Becerikli

doi:10.4028/www.scientific.net/AMM.850.38

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Minimizing Energy Consumption in Wireless Sensor Networks by Partition
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Model Checking Formal Verification Methodology for Virtual Channel NoCs
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Sensor Positioning on Digital Maps for Coverage Maximization by Using Genetic Algorithm
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Study on the Hierarchical Routing Protocols for Wireless Sensor Networks
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Lock-Time Behavior of Charge Pump PLLs Employing Oscillators with Non-Linear Frequency Tuning Characteristics
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 850Sensor Positioning on Digital Maps for Coverage...

Sensor Positioning on Digital Maps for Coverage Maximization by Using Genetic Algorithm

Abstract:

In the areas of surveillance and mobile communications, computer-aided evaluation of coverage area and measure of the field of sensors positioned on a created digital elevation model (DEM) is a facilitating method for positioning sensors and communication equipment. Fast evaluation of sensor coverage enables a computer to discover appropriate sensor locations by testing miscellaneous locations. In this paper, we describe a coverage maximization method that uses genetic algorithm and drawing algorithms based on integer arithmetic for coverage evaluation. Furthermore, solution of a sample problem and performance data gathered during solving process are presented, and the method's ability of finding good positions of radars for sea surveillance on a single processor PC in a duration less than ten minutes demonstrated.

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Periodical:

Applied Mechanics and Materials (Volume 850)

Pages:

38-42

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.850.38

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Online since:

August 2016

Authors:

Nazif Cenk Tenğerli*, Yaşar Becerikli

Keywords:

Coverage Maximization, Genetic Algorithm, Sensors, Surveillance

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* - Corresponding Author

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