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              <text>Shiddharthy, R.; Gunavathi, R.</text>
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              <text>Key-Based Message Transmission to Avoid Broadcast Storm in VANET</text>
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              <text>01-01-2025</text>
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              <text>Lecture Notes in Networks and Systems;Volume;1363 LNNS;pp.483-492</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-96-5217-4_38" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-96-5217-4_38&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105015952855?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105015952855?origin=resultslist&lt;/a&gt;</text>
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              <text>Shiddharthy R., Nallamuthu Gounder Mahalingam College, Pollachi, India; Gunavathi R., Christ University, Pune, India</text>
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              <text>VANET network communicates traffic information to the neighbor vehicles through low cost wireless communication technologies. ITS major task is to share the road information to the vehicles at most on time to minimize the threat of road accidents. The vehicle that receives communication from its neighbor becomes a part of VANET that controls and forward the received information to the neighbor vehicles. In this paper, a design to reduce the broadcasting storm is proposed. The approach named as key-based message broadcast for VANET (KMB-V) to reduce the broadcast storm in VANET. This approach forms a quiet a little amount of nodes (vehicles) to form a cluster with Cluster Head (CH) and creates a novel unique key to transmit before message transmission to avoid broadcast storm. This approach proves a better performance through PDR, network life and throughput parameters in comparison to previous works.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.</text>
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              <text>Broadcast storm; ITS; Key-bases message broadcast; PDR; VANET</text>
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              <text>Springer Science and Business Media Deutschland GmbH</text>
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              <text>ISSN: 23673370; ISBN: 978-981965216-7;</text>
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              <text>Restricted Access; Hardcopy may be available in the library</text>
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