On the Design of an Information-Centric Networking Extension for IoT APIs

Grewe, Dennis; Wagner, Marco; Ambalavanan, Uthra; Li, Liming; Nayak, Naresh; Schildt, Sebastian

doi:10.1109/vtc2021-fall52928.2021.9625470

Cited by 2 publications

(1 citation statement)

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“…The linear combination coefficients can form a coding vector, which is categorized into "random linear encoding," "fountain code," and "system code," depending on whether the encoding vector is determined. Random linear network coding and fountain codes are the most commonly used coding methods in network coding applications [25]. The primary focus of this paper is to propose a receiverassisted transmission control mechanism in NDN-based ICN-IoT vehicular networks.…”

Section: Related Workmentioning

confidence: 99%

Redundant Transmission Control Algorithm for Information-Centric Vehicular IoT Networks

Rashid Sangi,

Anamalamudi,

S. Alkatheiri

et al. 2023

Computers, Materials &Amp; Continua

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Vehicular Adhoc Networks (VANETs) enable vehicles to act as mobile nodes that can fetch, share, and disseminate information about vehicle safety, emergency events, warning messages, and passenger infotainment. However, the continuous dissemination of information from vehicles and their one-hop neighbor nodes, Road Side Units (RSUs), and VANET infrastructures can lead to performance degradation of VANETs in the existing hostcentric IP-based network. Therefore, Information Centric Networks (ICN) are being explored as an alternative architecture for vehicular communication to achieve robust content distribution in highly mobile, dynamic, and errorprone domains. In ICN-based Vehicular-IoT networks, consumer mobility is implicitly supported, but producer mobility may result in redundant data transmission and caching inefficiency at intermediate vehicular nodes. This paper proposes an efficient redundant transmission control algorithm based on network coding to reduce data redundancy and accelerate the efficiency of information dissemination. The proposed protocol, called Network Cording Multiple Solutions Scheduling (NCMSS), is receiver-driven collaborative scheduling between requesters and information sources that uses a global parameter expectation deadline to effectively manage the transmission of encoded data packets and control the selection of information sources. Experimental results for the proposed NCMSS protocol is demonstrated to analyze the performance of ICN-vehicular-IoT networks in terms of caching, data retrieval delay, and end-to-end application throughput. The end-to-end throughput in proposed NCMSS is 22% higher (for 1024 byte data) than existing solutions whereas delay in NCMSS is reduced by 5% in comparison with existing solutions.

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Section: Related Workmentioning

confidence: 99%