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Wireless Personal Communications
Published in: Wireless Personal Communications 4/2022

27-10-2021

Content-Centric IoT-Based Air Pollution Monitoring

Authors: Xinyan Qian, Xiaonan Wang

Published in: Wireless Personal Communications | Issue 4/2022

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Abstract

The Internet of Things (IoT) has been attracting a lot of attention due to its extensive applications such as air pollution monitoring. IoT is based on end-to-end communications where each device independently delivers collected data. This leads to a lot of redundant data especially in the air pollution monitoring case where the data collected in a specific area is highly correlated. To suppress data redundancy and alleviate data delivery costs, we propose a Content-centric IoT-based Air pollution Monitoring (CIAM) system. In CIAM, the content-centric mechanism is exploited to perform air pollution data aggregation and delivery. For each type of content, a content-centric backbone is constructed so that the devices involved in the backbone can aggregate the correlated data and lower the data delivery cost and latency. CIAM is quantitatively evaluated, and the results demonstrate that CIAM alleviates the data delivery costs and latency.
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Metadata
Title
Content-Centric IoT-Based Air Pollution Monitoring
Authors
Xinyan Qian
Xiaonan Wang
Publication date
27-10-2021
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 4/2022
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-021-09284-4

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