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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/18744
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dc.contributor.authorDua, Amit-
dc.date.accessioned2025-04-23T05:52:51Z-
dc.date.available2025-04-23T05:52:51Z-
dc.date.issued2019-
dc.identifier.urihttps://ieeexplore.ieee.org/document/8756669-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/18744-
dc.description.abstractWith the progression of Internet of Things (IoT), the number of connected vehicles in smart cities have shown an exponential growth. In order to enable fast data transfer, these vehicles communicate with each other and the roadside units. However, the data generated by these connected vehicles has overwhelming increased in recent times, which in turn overloads the traditional host-centric approach. For this reason, vehicular content-centric networking (VCCN) has emerged as a revolution, which provides efficient content distribution among vehicles. However, cache management is one of the most important aspects, which needs to be handled effectively. Therefore, in this paper, a bloom filter-based cache management scheme is proposed to enhance the performance of data transfer between smart connected vehicles. This algorithm uses the functionality of cache in vehicles to enable cooperative content distribution. The evaluation of bloom filter-based cache management scheme shows that the bloom filter reduces the search time in contrast to other data structures, which in turn increases the efficiency of retrieval from cache. The simulation results show that the proposed scheme achieves faster retrieval time and an efficient allotment system for helper vehicles in a smart city environment.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectComputer Scienceen_US
dc.subjectProbabilistic logicen_US
dc.subjectProtocolsen_US
dc.subjectRoutingen_US
dc.subjectComplexity theoryen_US
dc.titleBloom filter based efficient caching scheme for content distribution in vehicular networksen_US
dc.typeArticleen_US
Appears in Collections:Department of Computer Science and Information Systems

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