Presenting an Intelligent Topological Approach for Sensor Orientation in Directional Sensor Networks

Document Type : Original Article

Author

Department of Computer Engineering, Shahrekord University, Shahrekord, Iran.

Abstract

Directional sensor networks (DSNs) consist of directional sensor nodes which can switch to several directions to extend their sensing ability to cover the interested area. One important problem in these networks is providing adequate coverage to fulfill the issued sensing tasks. This paper addresses the problem of selection and orientation of directional sensors for providing full area coverage in directional sensor networks. Using the notion of homology in Algebraic topology, we model the coverage of DSNs by simplicial complexes and formulate the problem of selection and orientation of directional sensors as a binary linear programming. Then, an algorithm based on irregular cellular learning automata for orientation of sensors is proposed to solve the problem in a reasonable time. The proposed algorithm works based on the size of the existing holes in the covered area. The proposed algorithm has adopted a homological approach to find holes in the sensor network. The simulation results show about 2% increase in the amount of coverage and also a significant decrease in the number of conditions and variables of the proposed optimization problem.

Keywords

Main Subjects

References

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TABRIZ JOURNAL OF ELECTRICAL ENGINEERING
Volume 53, Issue 4 - Serial Number 106
January 2024
Pages 281-290

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