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Erschienen in:
Routing Protocols for CRAHN: A Comparative Evaluation Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

Routing Techniques in Internet of Things: A Review

verfasst von : Amlan Jyoti Dey, Hiren Kumar Deva Sarma

Erschienen in: Trends in Communication, Cloud, and Big Data

Verlag: Springer Singapore

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Abstract

In recent time, Internet of Things (IoT) is one of the most popular subjects in various fields of development be it in academia or in industry. Machine learning can help in deriving knowledge from within the data available from millions of interconnected machines or devices. IoT networks are self-organized and decentralized, and such networks experience dynamic changes in their topology and node position. Hence, routing plays a very important role when data packets are transmitted between objects or things. Successful delivery of the data packets is to be ensured. Several nodes in IoT environment may undergo constant movements which result into breaking of interconnections between the devices. The change of topology that too frequently, is unavoidable in IoT networks. Routing of the data packets with efficiency and reliability is a great challenge that needs urgent attention. There has been effort in devising machine learning-based routing techniques for IoT environment. In this article, a survey on different routing techniques developed for IoT environment has been presented. Future research directions in the field of IoT have been outlined.

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Vorheriges Kapitel A Game Theory-Based Framework for Reliable and Energy-Efficient Data Delivery in Cognitive Radio Wireless Sensor Network
Nächstes Kapitel Cloud Detection and Cloud Removal of Satellite Image—A Case Study
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Metadaten
Titel
Routing Techniques in Internet of Things: A Review
verfasst von
Amlan Jyoti Dey
Hiren Kumar Deva Sarma
Copyright-Jahr
2020
Verlag
Springer Singapore
Buch
Trends in Communication, Cloud, and Big Data

Print ISBN: 978-981-15-1623-8

Electronic ISBN: 978-981-15-1624-5

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-981-15-1624-5_5

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