Research Area:  Internet of Things
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.
Author(s) Name:  Amlan Jyoti Dey,Hiren Kumar Deva Sarma
Conferrence name:  Trends in Communication, Cloud, and Big Data
Publisher name:  Springer
Volume Information:  pp 41-50
Paper Link:   https://link.springer.com/chapter/10.1007/978-981-15-1624-5_5