Mobility Prediction and Enhancement of Link Stability in VANET using MGPSR and MAODV Protocol

Mobility Prediction and Enhancement of Link Stability in VANET using MGPSR and MAODV Protocol
  IJETT-book-cover           
  
© 2022 by IJETT Journal
Volume-70 Issue-2
Year of Publication : 2022
Authors : Kishor N Tayade, M U Kharat
DOI :  10.14445/22315381/IJETT-V70I2P208

How to Cite?

Kishor N Tayade, M U Kharat, "Mobility Prediction and Enhancement of Link Stability in VANET using MGPSR and MAODV Protocol," International Journal of Engineering Trends and Technology, vol. 70, no. 3, pp. 66-74, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I2P208

Abstract
Vehicular Ad-hoc Network (VANET) is a promising network technology in which cars are used as mobile nodes to establish a communication network. VANET can be deployed in an urban area as well as on highways. In VANET, a significant role is played by the routing protocols to enhance the performance. In this paper, the issue of mobility prediction and link stability in VANET is addressed. Performance of Greedy Perimeter Stateless Routing protocol (GPSR) and proposed Modified Greedy Perimeter Stateless Routing protocol (MGPSR) over parameter matrix using different speeds are observed and analysed. Further Multicast Ad-hoc On-Demand Distance Vector routing protocol (MAODV) is used to reduce link failures. The performance metric parameters Packet Loss Ratio, Delay, Packet Delivery Ratio, Link Expiration Time and Latency are used to evaluate the performance with respect to speed. The objective of this work is to identify the best-suited neighbour node using mobility prediction and select the most stable link to improve the overall performance. Based on the verified findings, the routing performance is improved in terms of predicting mobility of neighbour node and connectivity is enhanced with reduced link breakages by using a combination of MGPSR and MAODV.

Keywords
ITS, LET, MANET, MAODV, RSU, VANET.

Reference
[1] Annual report, Government of India, Ministry of Road Transport & Highways, New Delhi (2021).
[2] Safae Smiri, Abdelali Boushaba, Rachid Ben Abbou, Azzedine Zahi, Geographic and Topology based routing protocols in Vehicular Ad-hoc Networks, Performance evaluation and QoS analysis, IEEE, (2018) 987-1-5386-4396-9/18.
[3] Abdel-Halim and H. Fahmy, Mobility Prediction in Vehicular Ad-hoc Networks, Prediction Aims, Techniques, Use Cases, and Research Challenges, IEEE Intelligent Transportation Systems Magazine,(2019) 1-1, DOI, 10.1109/MITS.2018.2889708.
[4] K. Qureshi, F. Islam, O. Kaiwartya, A. Kumar and J. Lloret, Improved Road Segment-Based Geographical Routing Protocol for Vehicular Ad-hoc Networks, Electronics, 9(8) (2020) 1248, DOI,10.3390/electronics9081248.
[5] O. Sami Oubbati, N. Chaib, A. Lakas, S. Bitam and P. Lorenz, U2RV, UAV-assisted reactive routing protocol for VANETs, International Journal of Communication Systems, 33(10) (2019) e4104, https,//hal.archives-ouvertes.fr/hal-02301888.
[6] I. Abdel-Halim, H. Fahmy and A. BahaaEl-Din, Mobility prediction-based efficient clustering scheme for connected and automated vehicles in VANETs, Computer Networks, 150 (2019) 217-233, https,//doi.org/10.1016/j.comnet.2018.12.016.
[7] Ye, M., Guan, L. and Quddus, M, MPBRP-Mobility Prediction Based Routing Protocol in VANETs In CommNet, (2019) 1-7 DOI,10.1109/COMMNET.2019.8742389.
[8] N. Al-Kharasani, Z. Zukarnain, S. Subramaniam and Z. Hanapi, An Adaptive Relay Selection Scheme for Enhancing Network Stability in VANETs, IEEE Access, 8 (2020) 128757-128765, Digital Object Identifier 10.1109/ACCESS.2020.2974105
[9] J. Bang and J. Lee, Collision Avoidance Method Using Vector-Based Mobility Model inTDMA-Based Vehicular Ad Hoc Networks, Applied Sciences, 10(12) (2020) 4181, https,//doi.org/10.3390/app10124181.
[10] A. Silva, N. Reza and A. Oliveira, Improvement and Performance Evaluation of GPSR-Based Routing Techniques for Vehicular Ad Hoc Networks, IEEE Access, 7 (2019) 21722- 21733, DOI,10.1109/ACCESS.2019.2898776.
[11] Nair, C.R., Analysis and comparative study of topology and position-based routing protocols in VANET, International Journal of Engineering Research and general science, 4(1) (2016) 43-52, ISSN 2091-2730.
[12] Chunlin Wang, Quanrun Fan, Xiaolin Chen, WanjinXu, Prediction based Greedy Perimeter Stateless Routing Protocol for Vehicular Self-organizing Network, IOP Conf. Series, Materials Science and Engineering 322 (2018) 052019, DOI 10.1088/1757-899X/322/5/052019.
[13] Mingyang Zhong, Yunqing Fu, Xinqiang Jia MAODV multicast routing protocol based on node mobility prediction IEEE. (2011), 978-1-4244-8694-6/11, DOI, 10.1109/ICEBEG.2011.5881805.
[14] A. Bengag, A. Bengag and M. Elboukhari, A Novel Greedy Forwarding Mechanism Based on Density, Speed and Direction Parameters for Vanets, International Journal of Interactive Mobile Technologies (iJIM), 14(8) (2020) 196, DOI,10.3991/ijim.v14i08.12695.
[15] Siddharth Shelly and A. V. Babu, Link Reliability-Based Greedy Perimeter Stateless Routing for Vehicular D Hoc Networks, Hindawi Publishing Corporation, International Journal of Vehicular Technology, (2015) 921414, 16pages, ttps,//doi.org/10.1155/2015/921414.
[16] Xiaoping Yang, Mengjie Li, ZhihongQian, Te Di, Improvement of GPSR Protocol in Vehicular Ad Hoc Network, IEEE Access (2018), DOI, 10.1109/ACCESS 2018.2853112.