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The RPL Load Balancing in IoT Network with Burst Traffic Scenarios

Altwassi, Hussien Saleh; Pervez, Zeeshan; Dahal, Keshav; Ghaleb, Baraq

Authors

Hussien Saleh Altwassi

Zeeshan Pervez

Keshav Dahal



Abstract

The RPL (Routing Protocol for Low-Power and Lossy Networks) has emerged within constrained networks as the de-facto IPv6 routing standard, which entangles many concepts that make it a complex, albeit a rather flexible protocol. However, load balancing has been underemphasized, making it an essential and practical issue of RPL, given the resource-constrained nature of a low-powered and lossy network (LLN). In this paper, we aim at determining whether a suggested load-balancing schemenamed QU-RPL (Queue utilization based RPL) can be considered as a viable solution to the significant loadbalancing problem in the standardised RPL under some specific conditions. Hence, our results show that QU-RPL does not provide significant improvements over RPL under the simulated environment, and there is still a further need for the development of a more efficient load-balancing mechanism.

Citation

Altwassi, H. S., Pervez, Z., Dahal, K., & Ghaleb, B. (2019). The RPL Load Balancing in IoT Network with Burst Traffic Scenarios. In 2018 12th International Conference on Software, Knowledge, Information Management & Applications (SKIMA). https://doi.org/10.1109/skima.2018.8631520

Conference Name 2018 12th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)
Conference Location Phnom Penh, Cambodia
Start Date Dec 3, 2018
End Date Dec 5, 2018
Online Publication Date Feb 4, 2019
Publication Date 2019
Deposit Date Jan 25, 2022
Publisher Institute of Electrical and Electronics Engineers
Series ISSN 2573-3214
Book Title 2018 12th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)
DOI https://doi.org/10.1109/skima.2018.8631520
Keywords Internet-of-Things Routing, LLNs, RPL, Objective Function, Load Balancing and Parent Count
Public URL http://researchrepository.napier.ac.uk/Output/2837717