2021
DOI: 10.23919/icn.2021.0001
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Toward long-range adaptive communication via information centric networking

Abstract: As Internet of Things (IoT) applications become more prevalent and grow in their use, a limited number of wireless communication methods may be unable to enable dependable, robust delivery of information. It is necessary to enable adaptive communication and interoperability over a variety of wireless communication media to meet the requirements of large-scale IoT applications. This paper utilizes Named Data Networking (NDN), an up-and-coming Information-Centric Network architecture, to interconnect differing c… Show more

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Cited by 6 publications
(6 citation statements)
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“…Therefore, we will consider applying edge AI technology to future research. For abnormal sensors, it is still a challenging task to consider user privacy, prediction accuracy and scalability simultaneously [54,55]. We will consider a more complex traffic flow prediction scenario in the upcoming study [56,57].…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, we will consider applying edge AI technology to future research. For abnormal sensors, it is still a challenging task to consider user privacy, prediction accuracy and scalability simultaneously [54,55]. We will consider a more complex traffic flow prediction scenario in the upcoming study [56,57].…”
Section: Discussionmentioning
confidence: 99%
“…In [92], authors designed a framework for creating a global multi-hop wireless network to create various links with different protocols using NDN architecture. This proposed framework uses the NDN architecture, and each device in the proposed framework has two wireless interfaces, WiFi and LoRa.…”
Section: F D2d Communications Solutions Based On Icnmentioning
confidence: 99%
“…Compared with a single machine learning algorithm, all kinds of hybrid machine learning algorithms have significant advantages in parameter optimization, prediction accuracy and so on. Whether it is a single machine learning algorithm or a combined machine learning algorithm, in terms of short-term load forecasting, machine learning algorithm makes regression statistics on the data Wu et al (2021); Dowling et al (2021), Through parameter optimization and other analysis, prediction value with high prediction accuracy can be obtained. However, in the face of long-term load data, traditional machine learning algorithms will produce errors due to various complex and diverse feature information.…”
Section: Hybrid Machine Learning Algorithmmentioning
confidence: 99%