Research Patterns and Trends in Localization of Io Vs
Parveen1, Rishipal Singh2, Sushil Kumar3
1Parveen, Department of Computer Science and Engineering, Guru Jambheshwar University of Science & Technology, Hisar (Haryana), India.
2Rishipal Singh, Department of Computer Science and Engineering, Guru Jambheshwar University of Science & Technology, Hisar (Haryana), India.
3Sushil Kumar, Department of Computer & System Science, Jawaharlal Nehru University, (New Delhi), India.
Manuscript received on 25 November 2019 | Revised Manuscript received on 19 December 2019 | Manuscript Published on 30 December 2019 | PP: 317-321 | Volume-9 Issue-1S5 December 2019 | Retrieval Number: A11121291S52019/19©BEIESP | DOI: 10.35940/ijeat.A1112.1291S519
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The accurate localization of Internet of Vehicle (IoV) is essential for promoting safety on roads. IoVs are evolving Vehicular Adhoc NETwork (VANETs). The objective is to automate various security aspects and efficiency features in vehicular networks. In this study, we conduct a review of literature and investigate the techniques used for localization of IoVs on roads. This study identifies major issues occurring in localization of IoVs using Global Positioning Systems (GPS). The major challenges are; 1) To achieve high accuracy in localization. 2) To obtain Error free localization of IoVs. 3) Verification of location of IoVs. 4) Security and privacy of vehicle. In order to develop robust IoVs, these issues are to be addressed efficiently. Various researchers have made the contribution by developing numerous algorithms and techniques. This paper reviews the techniques being deployed to overcome the challenges and reports the trends and patterns already set in the field of localization of IoVs. Our paper summarizes the worthy work done by researchers in this field and lays the necessary foundation for the improved implementation of novel and more efficient techniques.
Keywords: Internet of Vehicle (IoV), Vehicular Adhoc NETwork (VANETs), Global Positioning Systems (GPS), Localization, Smart City, Internet of Things (IoT).
Scope of the Article: Software Design Patterns