Proceedings of the Second ACM International Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications 2012
DOI: 10.1145/2386958.2386962
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A content centric approach to dissemination of information in vehicular networks

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Cited by 36 publications
(14 citation statements)
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“…The authors in [22] argue that semantically rich applications can benefit from a higher level view of topology that can manifest the connectivity of objects such as services, content items and users to enhance the control and forwarding planes. Possible directions are efficient caching methodologies and facilitating management and configuration such as path optimization at the strategy layer (as per CCN implementation).…”
Section: Preliminary Workmentioning
confidence: 99%
See 1 more Smart Citation
“…The authors in [22] argue that semantically rich applications can benefit from a higher level view of topology that can manifest the connectivity of objects such as services, content items and users to enhance the control and forwarding planes. Possible directions are efficient caching methodologies and facilitating management and configuration such as path optimization at the strategy layer (as per CCN implementation).…”
Section: Preliminary Workmentioning
confidence: 99%
“…Possible directions are efficient caching methodologies and facilitating management and configuration such as path optimization at the strategy layer (as per CCN implementation). By bringing a new level of semantic meaning towards the notion of information topology at the network layer, ICN represents the key networking solution to enrich VCC with semantics, as proposed in [22,23]. Since services are not merely based on IP address of source and destination, as in traditional networking approaches, other dynamics and dimensions (like the context of consumers and providers of information, quality of information) play a crucial role.…”
Section: Preliminary Workmentioning
confidence: 99%
“…Indeed, this can be assured by using random coefficients [16]. Since T is not fixed due to dynamic and randomness of the coefficients, the receiver is required to calculate T −1 each time.…”
Section: A Backgroundmentioning
confidence: 99%
“…Note: G sm is based on modulo p of a true random number R sm (Fig. 2), as G sm = g Rsm mod p. To transfer the randomness to the coefficient, we consider a large p value to have G sm randomly out of a large range to increase probability of the matrix to be invertible [16].…”
Section: T Ransfer Matrix = F Unction(lev S or Gev )mentioning
confidence: 99%
“…We compare LTE cellular network to LTE-D2D based vehicle network about throughput according to packet delivery time. [5][6][7][8][9][10][11][12][13][14] . …”
mentioning
confidence: 99%