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PSO-Based Antenna Pattern Synthesis: A Paradigm for Secured Data Communications
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Author(s): Rathindra Nath Biswas (Acharya Jagadish Chandra Bose Polytechnic, India), Anurup Saha (Jadavpur University, India), Swarup Kumar Mitra (MCKV Institute of Engineering, India)and Mrinal Kanti Naskar (Jadavpur University, India)
Copyright: 2019
Pages: 28
Source title:
Nature-Inspired Algorithms for Big Data Frameworks
Source Author(s)/Editor(s): Hema Banati (Dyal Singh College, India), Shikha Mehta (Jaypee Institute of Information Technology, India)and Parmeet Kaur (Jaypee Institute of Information Technology, India)
DOI: 10.4018/978-1-5225-5852-1.ch009
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Abstract
An antenna pattern synthesis scheme based on particle swarm optimization (PSO) technique is proposed. Synthesized patterns always contain narrower beamwidth and minimum side-lobes level reducing coverage areas towards the attackers in wireless networks. On such patterns, deep nulls are also steered at various interfering directions as to provide a second layer of protection. Using selective patterns at each point-to-point link, data privacy is ensured throughout entire route from source to sink. This approach is simple enough to be commensurate with flexible design methods on a real-time platform. Thus, an FSM (finite state machine) rule-based digital system model is further developed and tested on Xilinx Virtex4 FPGA (field programmable gate array) board. Its performance under harsh radio environmental conditions is also verified with several fixed-point simulations in terms of pattern synthesis accuracy and computational overheads. These results corroborate such system integration onto wireless infrastructures for the secured data communication services.
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