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Fuzzy Logic-Based Directional Location Routing in Vehicular Ad Hoc Network

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Proceedings of the National Academy of Sciences, India Section A: Physical Sciences Aims and scope Submit manuscript

Abstract

The vehicular ad hoc network (VANET) is an autonomous system of mobile vehicles where mobile vehicles can transmit or receive data packet over the wireless link. Due to the movable nature and limited communication, range of vehicles causes breaking the link between them very frequently, which in turn causes failure in the data delivery. Therefore, a stable path should be established from the source to the destination node to deliver data packets at the intended destination node. Therefore, for a stable route from source to the destination node selection of the next hop should be appropriate. The proposed work in this paper has been made to discuss how the best next hop node can be selected to deliver data packet successfully at the destination node D. A mathematical model fuzzy logic-based directional location routing (FLDLR) has been proposed to select a remarkable next hop node in the VANET. To select next hop, FLDLR has considered fuzzy logic sets of the routing metrics, i.e., next hop distance, node speed, closeness, the data transmission rate of the node, and node movement direction. To investigate the performance of FLDLR, the simulation work has been done through network simulator-2 and compared with existing LAR and D-LAR protocols. Through simulated results has shown that the FLDLR outperforms existing protocols from the standpoints routing overhead and packet delivery delay.

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Authors and Affiliations

  1. Indian Institute of Technology (Indian School of Mines), Dhanbad, India

    Kamlesh Kumar Rana & Sachin Tripathi

  2. Ambedkar Institute of Advance Communication Technology and Research, Delhi, India

    Ram Shringar Raw

Authors
  1. Kamlesh Kumar Rana
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  2. Sachin Tripathi
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  3. Ram Shringar Raw
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Correspondence to Kamlesh Kumar Rana.

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Significance of proposed work: The accident severity in India increased by 37.5% according to a report of the Ministry of Road Transport & Highways Government of India, 2016. The proposed FLDLR model is useful to design an efficient Intelligent Transport System (ITS) to deliver traffic-related message to other vehicle drivers. Therefore, the vehicle driver can take appropriate decision within a short time to avoid traffic congestion on the road.

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Rana, K.K., Tripathi, S. & Raw, R.S. Fuzzy Logic-Based Directional Location Routing in Vehicular Ad Hoc Network. Proc. Natl. Acad. Sci., India, Sect. A Phys. Sci. 91, 135–146 (2021). https://doi.org/10.1007/s40010-019-00641-4

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  • DOI: https://doi.org/10.1007/s40010-019-00641-4

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