The RPL Load Balancing in IoT Network with Burst Traffic Scenarios

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

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. (2018, December). The RPL Load Balancing in IoT Network with Burst Traffic Scenarios. Presented at 2018 12th International Conference on Software, Knowledge, Information Management & Applications (SKIMA), Phnom Penh, Cambodia

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2018 12th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)
• 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