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Network Coding with Random Packet-Index Assignment for Data Collection Networks by Adjih, Cédric; Kieffer, Michel; Greco, Claudio is a scholarly article available to read on EtoBox.

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This paper considers a data collection network consisting of uncoordinated, heterogeneous, and possibly mobile devices. These devices use medium and short-range radio technologies, which require multi-hop communication to deliver data to some sink. While numerous techniques from managed networks can be adapted, one of the most efficient (from the energy and spectrum use perspective) is \emph{network coding} (NC). NC is well suited to networks with mobility and unreliability, however, practical NC requires a precise identification of individual packets that have been mixed together. In a purely decentralized system, this requires either conveying identifiers in headers along with coded information as in COPE, or integrating a more complex protocol in order to efficiently identify the sources (participants) and their payloads. This paper presents a novel solution, Network Coding with Random Packet Index Assignment (NeCoRPIA), where packet indices in NC headers are selected in a decentralized way, by simply choosing them randomly. Traditional network decoding techniques apply directly when all original packets have different indices. When this is not the case, i.e., in case of collisi

Author

Adjih, Cédric; Kieffer, Michel; Greco, Claudio

Published

2018

Language

EN