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Open AccessArticle

Optimal Tracking of QR Inspired LEA Using Particle Filter for Secured Visual MIMO Communication Based Vehicular Network

School of Electrical & Electronics Engineering, SASTRA Deemed University, Thanjavur 613 401, India
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Photonics 2019, 6(3), 93; https://doi.org/10.3390/photonics6030093
Received: 28 June 2019 / Revised: 14 August 2019 / Accepted: 16 August 2019 / Published: 24 August 2019
Line of sight (LoS) and security are the fundamental requirement for any secure visual MIMO communication based vehicular networks. Uneven speed, irregular terrains, and uncertain appearance of obstacles disgrace LoS between the visual multiple-input multiple-output (MIMO) transmitter and receiver. This paper proposes optimal tracking techniques to maintain LoS using a novel quick response (QR) inspired light emitting array (LEA) pattern. Automatic geometric transformation of the QR code in conjunction with the particle filter is used to track the dynamically varying LEA position. In addition to that, an adaptive threshold technique (ATT) has been proposed to minimize error caused by ambient light variations and interferences. A novel key generation algorithm is also proposed to improve the security of the visual MIMO communication system. It utilizes a customized linear feedback shift register (LFSR) and synthetic color image to generate a stronger key. The randomness test demonstrates the robustness of the proposed key generation technique with a minimal probability value of 0.1223 (>0.01). Simulation and real-time studies have been carried out in the presence of geometric distortions, and the bit error rate (BER) performance is evaluated. Results illustrate that the proposed techniques make the visual MIMO system more secure and reliable for vehicular networks. View Full-Text
Keywords: visual MIMO; LFSR based random key generation; QR-Code; particle filter; adaptive threshold technique visual MIMO; LFSR based random key generation; QR-Code; particle filter; adaptive threshold technique
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Chinnusamy, M.; Sidharthan, R.K.; Sivanandam, V.; Kommi, S.S.S.; Mallari Rao, C.; Periasamy, N. Optimal Tracking of QR Inspired LEA Using Particle Filter for Secured Visual MIMO Communication Based Vehicular Network. Photonics 2019, 6, 93.

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