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Data Acquisition in Vehicular Ad Hoc Networks


Data Acquisition in Vehicular Ad Hoc Networks, illustration

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With the amount of multimedia data large and growing larger, low-latency data acquisition represents an important practical goal for emerging Internet of Vehicles applications. Multihoming could help reduce such latency because it could let a single node use multiple addresses to acquire data in parallel. Network researchers are thus trying to extend multihoming to vehicular ad hoc networks (VANETs), aiming to reduce latency in the Internet of Vehicles. But in VANETs with multihoming, a vehicle must be able to perform n addressing processes to be configured with addresses with n global network prefixes (GNPs). And getting a vehicle to use addresses with different GNPs to acquire data in parallel through the standard communication models is a significant engineering challenge. Here, I propose an address-separation mechanism so vehicles can be configured with addresses with different GNPs in a single addressing process, extending the k-anycast model to help acquire data in parallel.

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Vehicles on the road today include abundant computer processing and storage, producing demand for connecting VANETs to the Internet so they can acquire a variety of multimedia data.1,6,12 In multihoming, one IP domain is identified by n (n ≥ 2) GNPs, and a node can be configured with n addresses with different GNPs.7 A node would use these addresses to acquire data in parallel, thus reducing data-acquisition latency.3, 4, 5 However, network researchers trying to extend multihoming to VANETs must first address two main technical challenges:3


 

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