International Journal of Nonlinear Analysis and Applications

Novel roadside unit placement mechanism for 5G vehicular Adhoc networks in the urban environment

Document Type : Research Paper

Authors

1 Department of CSE, Annamalai University, Chidambaram, TN, India

2 Department of IT Annamalai University Chidambaram, India

3 Department of CSE, Viswam Engineering College, Madanapalle, Chittoor, India

Abstract

VANET plays a key role in an Intelligence transportation system. To avoid accidents and inform the traffic information, VANETs infrastructure plays an important role. This paper concentrate on V2I communication, that is information exchange among the vehicles, this can be done with a Roadside Unit (RSU). The main function of RSU is to act as a data repository for information exchange among the vehicles to and from like traveller information, traffic information, accidents zones, etc. RSU is a standalone device that communicates with vehicles as well as with Communication networks. Deployment of RSUs was cost-effective, once we install, we cannot mobile the RSU Equipment, so the right way of placing RSU is very important. This paper focuses on and proposed a cost-effective RSU deployment strategy in the VANETs environment, the proposed strategy is based on principles of adaptive beamforming method, by applying these principles, we select an effective emplacement of RSU in different vehicular environment topology.

Keywords

[1] B. Agee, The least-squares CMA: A new technique for rapid correction of constant modulus signals, IEEE Int.
Conf. ICASSP’86, 11 (1986) 953–956.
[2] S. Applebaum, Adaptive arrays, IEEE Trans. Antennas and Propagation, 24(5) (1976) 585–598.
[3] W. Gabriel, Adaptive processing antenna systems, IEEE Antenna and Propagation Newsletter, 25(5) (1983) 5–11.[4] L. Godara, Application of antenna arrays to mobile communications, II: Beam-forming and direction-of-arrival
considerations, Proc. IEEE, 85(8) (1997) 1195–1245.
[5] D. Johnson, The application of spectral estimation methods to bearing estimation problems, Proc. IEEE 70(9)
(1982) 1018–1028.
[6] J. Liberti and T. Rappaport, Smart Antennas for Wireless Communications: IS-95 and Third Generation CDMA
Applications, Prentice Hall, New York, 1999.
[7] G. Minasyan, Application of High Resolution Methods to Underwater Data Processing, Ph.D. Dissertation, N.N.
Andreyev Acoustics Institute, Moscow, 1994.
[8] R. Monzingo and T. Miller, Introduction to Adaptive Arrays, Wiley Interscience, John Wiley & Sons, New York,
1980.
[9] D. Rajaveerappa and F.H. Belgassem, A two ray propagation model for finding mobile location over microcellular
environment, Int. Conf. Comput. Commun. Tech. 2010 (ICCCT2010), (IEEE Explore) IEEE Computer Society,
MNNIT, Allahabad, India, (2010) 408–414.
[10] D. Rajaveerappa and M. Sreenivasan, Design and development of a hybrid SDMA/CDMA MAC protocol for
wireless mobile computing networks, The Sixth Int. Conf./Exhib. High Performance Computing in Asia-Pacific
Region (HPC ASIA 2002), 2 (2002) 561–562.
[11] K.S.K. Reddy, 5G VANETs: A details performance analysis of fusion beam forming techniques for vehicular
environment, Turk. J. Comput. Math. Educ. 12 (2021) 5518–5533.
[12] K.S.K. Reddy, D. Rajaveerappa, Design and development of an efficient location based bandwidth allocation
method for wireless mobile networks, Int. J. Control Theory Appl. 10(13) (2017) 141–151.
[13] K.S.K. Reddy and V. Tamizhazhagan, An eloborative analysis of bearing estimation tecniques for VANETs, J.
Adv. Res. Dyn. Control Syst. 11(10) (2019) 1457–1466.
[14] K.S.K. Reddy and V. Tamizhazhagan, An innovative selection of road side unit emplacement in VANETs, In:
P. Karrupusamy, J. Chen and Y. Shi (eds) Sustainable Communication Networks and Application, ICSCN 2019,
Lecture Notes on Data Engineering and Communications Technologies, Springer, 39 (2020).
[15] R. Schmidt, Multiple emitter location and signal parameter estimation, IEEE Trans. Antenna, Propogation.,
AP-34(2) (1986) 276–280.
[16] T.-J. Shan, M. Wax and T. Kailath, Spatial smoothing for direction-of-arrival estimation of coherent signals,
IEEE Trans. Acoustics, Speech, and Signal Processing, ASSP-33(4) (1985) 806–811.
[17] H. Sorenson, Least-squares estimation: from Gauss to Kalman, IEEE Spectrum, 7 (1970) 63–68.
[18] H.L. Van Trees, Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory, WileyInter Science, New York, 2002.
[19] B. Widrow, P. Mantey, L.J. Griffiths and B.B. Goode, Adaptive antenna systems, Proc. IEEE, 55(12) (1967)
2143–2159.
International Journal of Nonlinear Analysis and Applications
Volume 12, Special Issue
December 2021
Pages 2077-2086
  • Receive Date: 05 September 2021
  • Revise Date: 15 November 2021
  • Accept Date: 04 December 2021