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Efficient Routing for Low Power Lossy Networks with Multiple Concurrent RPL Instances

Publication Type : Conference Paper

Publisher : Springer, Singapore

Source : Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences (PCCDS 2020), NIT Kurukshetra, Algorithms for Intelligent Systems. Springer, Singapore. DOIhttps://doi.org/10.1007/978-981-15-7533-4_46.

Url : https://link.springer.com/chapter/10.1007/978-981-15-7533-4_46

Campus : Coimbatore

School : School of Artificial Intelligence - Coimbatore

Center : Computational Engineering and Networking

Year : 2021

Abstract : With the advent of Internet of Things (IoT) and its subsequent developments, routing in Low Power Lossy Networks (LLNs) has been drawing continuous research interest. IPv6 Routing protocol for LLNs (RPL) is often considered as the most suited for LLN routing. In order to cope up with the increasing demands of IoT paradigm, several RPL enhancements have been made especially in mobility and efficient utilization of the resources. LLNs, being an enabling technology of the IoT, may be subject to different Quality of Service (QoS) requirements depending on applications being served. This results in the presence of multiple RPL instances, each serving a unique application, coexisting in the same LLN. This paper proposes a variant of RPL which uses a unique Objective Function (OF) named Multiple instances ETX-Hop count Objective Function (MEHOF) so as to handle multiple instances. The proposed protocol has been simulated and tested, and the results show an improved performance compared to its existing counterparts.

Cite this Research Publication : Jinshiya Jafar, Jaisooraj J., and S. D. Madhu Kumar, "Efficient Routing for Low Power Lossy Networks with Multiple Concurrent RPL Instances", Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences (PCCDS 2020), NIT Kurukshetra, Algorithms for Intelligent Systems. Springer, Singapore. DOIhttps://doi.org/10.1007/978-981-15-7533-4_46.

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