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Journal Article CANCORE: Context-Aware Network COded REpetition for VANETs
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Authors
Hyunwoo Kang, Hongseok Yoo, Dongkyun Kim, Yun-Su Chung
Issue Date
2017-03
Citation
IEEE Access, v.5, pp.3504-3512
ISSN
2169-3536
Publisher
IEEE
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1109/ACCESS.2017.2681804
Abstract
In vehicular networks, safety applications allow people to avoid hazardous situations based on the state of the vehicles in their proximity. Such proximity awareness is realized by allowing each vehicle to collect safety messages called beacons, which are periodically and locally broadcasted from its neighboring vehicles. Hence, the reliability of beacon transmissions is a crucial factor that makes safety applications effective in practice. Particularly, in respect of avoiding risky situations, lossy and scarce vehicular channel should be utilized primarily for reliable delivery of beacons from neighboring vehicles, which are more likely to cause dangerous situations such as collision. However, without consideration to such a requirement of safety applications, existing retransmission schemes treat every vehicles equally and are focusing on improving the retransmission performance in terms of loss recovery. In this paper, we therefore propose a new network coding-based repetition scheme called Context-Aware Network COded REpetition (CANCORE) for maximizing the effectiveness of safety applications. Using knowledge of contextual information (i.e., position, heading, and so on) of vehicles, CANCORE generates coded repetitions allowing more receivers to acquire beacons useful for avoiding impending dangerous situations. Our simulation study verified that CANCORE outperforms existing schemes in terms of its impact on the application-level performance (i.e., the accuracy of proximity awareness).
KSP Keywords
Context aware, Contextual information, Existing schemes, Loss recovery, Network Coding, Proximity awareness, Reliable delivery, Safety applications, Safety messages, Simulation study, Vehicular Networks
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(CC BY NC ND)
CC BY NC ND