Literature Database Entry

chowdhury2018travel


D. R. Chowdhury, V. K. Jain and S. Maurya, "Travel Angle Based Fast Data Dissemination to Relevant Vehicles in VANET," Proceedings of 41st International Conference on Telecommunications and Signal Processing (TSP 2018), Jul 2018.

Abstract

In Vehicular Ad-hoc Network (VANET), dissemination of emergency messages needs to be fast and situation, robust as it makes the driver aware of the and gives time to take necessary actions. But information dissemination within vehicles in multi-hop broadcast scenario with multiple channel access suffers from problems like “Broadcast Storm”, “Re-Synchronization” and storm, “Network Partition”. Many protocols have been proposed to achieve controlled flooding to mitigate broadcast and selects suitable carry forward agents to mitigate network partition. When an emergency incident occurs, all vehicles are not equally affected by that incident. So, the dissemination of message should be targeted only towards the relevant vehicles which are likely to be affected by the incident. But existing protocols are not usually concerned about the direction of dissemination and hence, message can get disseminated towards any arbitrary direction and may get suppressed for some important directions where vehicles need to be informed about the incident in priority. In this paper, we have proposed a data dissemination protocol (i.e. TAFDRV) where vehicles predict their own relevance for an emergency message in a purely distributed manner using a heuristic method and delay, only relevant vehicles get chance to disseminate message with minimized and loss., packet

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D. R. Chowdhury
V. K. Jain
S. Maurya

BibTeX reference

@inproceedings{chowdhury2018travel,
    author = {Chowdhury, D. R. and Jain, V. K. and Maurya, S.},
    title = {{Travel Angle Based Fast Data Dissemination to Relevant Vehicles in VANET}},
    booktitle = {41st International Conference on Telecommunications and Signal Processing (TSP 2018)},
    year = {2018},
    month = {Jul},
    publisher = {IEEE},
    doi = {10.1109/TSP.2018.8441394},
   }
   
   

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