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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Computer Networksarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Computer Networks
Article . 2020 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2021
Data sources: DBLP
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On supporting IoT data aggregation through programmable data planes

Authors: André Luiz R. Madureira; Francisco Renato Cavalcante Araújo; Leobino N. Sampaio;

On supporting IoT data aggregation through programmable data planes

Abstract

Abstract IoT devices generate large continuous data streams, which causes congestion that compromises the scalability of IoT systems. To face this problem, techniques for data aggregation have been proposed to reduce recurring packet headers, through assembly of packet data coming from different sources. Due to the energy constraints and limitation of computational resources of devices, most proposals adjust data aggregation according to their features following multilayered-based approaches or coupling the solution to a given network protocol, but overlooking the properties of the communication link. In this work, we introduce the Internet of Things Protocol (IoTP). An L2 communication protocol for IoT programmable data planes that supports the implementation of data aggregation algorithms inside hardware switches, at the network level. Through these features, IoTP provides support for the design of efficient and adaptable aggregation schemes that can function according to network status and based on the different communication technologies used by IoT devices. We implemented IoTP using the P4 language and conducted emulation-based experiments through the Mininet environment. Our findings show that IoTP accomplishes a 78% improvement in network efficiency, as well as allowing control over the average delay generated by data aggregation techniques. Besides that, it was able to reduce the number of packets sent over the network, while also reducing the consumption of network devices computational resources.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
35
Top 10%
Top 10%
Top 10%
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