Network coding in internet of things

Amirjavid, Farzad; Spachos, Petros; Song, Liang; Plataniotis, Konstantinos N.

doi:10.1109/camad.2016.7790345

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…Data compression [19], deduplication [22] or network coding (NC) techniques [36] have been proposed to solve these IoT problems. The latter is particularly interesting given the unreliable nature of data streams commonly found in realworld IoT deployments [3]. NC introduces redundancy where needed to protect against data loss, i.e., efficient protection of data.…”

Section: Introductionmentioning

confidence: 99%

Hermes: Enabling Energy-efficient IoT Networks with Generalized Deduplication

Göttel,

Nielsen,

Yazdani

et al. 2020

Preprint

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With the advent of the Internet of Things (IoT), the ever growing number of connected devices observed in recent years and foreseen for the next decade suggests that more and more data will have to be transmitted over a network, before being processed and stored in data centers. Generalized deduplication (GD) is a novel technique to effectively reduce the data storage cost by identifying similar data chunks, and able to gradually reduce the pressure from the network infrastructure by limiting the data that needs to be transmitted. This paper presents Hermes, an application-level protocol for the data-plane that can operate over generalized deduplication, as well as over classic deduplication. Hermes significantly reduces the data transmission traffic while effectively decreasing the energy footprint, a relevant matter to consider in the context of IoT deployments. We fully implemented Hermes and evaluated its performance using consumer-grade IoT devices (e.g., Raspberry Pi 4B models). Our results highlight several trade-offs that must be taken into account when considering real-world workloads.

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Section: Introductionmentioning

confidence: 99%

Hermes: Enabling Energy-efficient IoT Networks with Generalized Deduplication

Göttel,

Nielsen,

Yazdani

et al. 2020

Preprint

View full text Add to dashboard Cite

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Wireless noise prevention for mobile agents in smart home

Spachos

Song

Plataniotis

2017

2017 IEEE International Conference on Communications (ICC)

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Networking Systems of AI: On the Convergence of Computing and Communications

Song

Zhang

et al. 2022

IEEE Internet Things J.

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with the focus on six areas: transparency and accountability; ethics and fairness; the preservation of privacy and security; human rights, diversity and inclusivity. It maximizes the benefits of AI while managing the disruption of its implementation. T-mobileFrom AI to VR and Beyond: T-Mobile Accelerator Named Class of 2020 Startups [29], is driving the development in AI, drones, robotics, autonomous vehicles and more on the carrier's nationwide 5G/4G networks. China Mobile China Mobile, Haier and Huawei jointly [30] launched the world's first AI+5G interconnected factory at the 2019 World Industrial Internet Conference (WIIC) in Qingdao. This improvement refines future smart manufacturing by innovating and transforming enterprise organizations, business models, and ICT technologies, and integrating key technologies of AI and 5G.

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Network coding in internet of things

Cited by 3 publications

References 19 publications

Hermes: Enabling Energy-efficient IoT Networks with Generalized Deduplication

Hermes: Enabling Energy-efficient IoT Networks with Generalized Deduplication

Wireless noise prevention for mobile agents in smart home

Networking Systems of AI: On the Convergence of Computing and Communications

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