A secured geo-routing protocol for VANET with an enhanced junction selection mechanism
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Institute of Electrical and Electronics Engineers Inc.
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Citation
A. P. Piyal, S. Ahmed, K. F. Rahman and A. S. M. Mohsin, "Energy Demand Forecasting Using Machine Learning Perspective Bangladesh," 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT), Male, Maldives, 2023, pp. 1-5, doi: 10.1109/GlobConHT56829.2023.10087679.
Abstract
Most Geo-routing protocols of Vehicular ad-hoc Network (VANET) follow a junction selection process. But none have considered the average lifetime of the vehicles under an RSU for junction selection. For delay intolerant networks like VANET, calculating only the number of vehicles is not enough for junction selection. An inclusion of the average lifetime of the vehicles per RSU will give a real-time idea to project vehicles duration in a selected junction. Our paper proposes an efficient junction selection mechanism which incorporates real-time traffic update. Moreover, the most important factor in a vehicular network is security. Our proposed protocol also ensures security. RSU will actively count the duration of the vehicles and contact with trusted authority if any irregular event takes place. This protocol provides an algorithm for identifying unusual incidents and act accordingly. In conclusion, the proposed protocol will efficiently route the packets without compromising security.
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Conference Proceeding