Journal of Computer Science and Technology ›› 2022, Vol. 37 ›› Issue (2): 344-368.doi: 10.1007/s11390-022-1027-y

Special Issue: Surveys; Computer Networks and Distributed Computing

• Computer Networks and Distributed Computing • Previous Articles     Next Articles

Quality of Service Support in RPL Networks: Standing State and Future Prospects

Ibrahim S. Alsukayti   

  1. Department of Computer Science, College of Computer, Qassim University, Buraydah 51452, Saudi Arabia
  • Received:2020-09-28 Revised:2022-03-05 Accepted:2022-03-05 Online:2022-03-31 Published:2022-03-31
  • Contact: Ibrahim S. Alsukayti E-mail:skiety@qu.edu.sa
  • About author:Ibrahim S. Alsukayti received his B.S. degree in computer science, from Qassim University, Buraydah, in 2006. He then received his M.S. degree in computer and information networks from University of Essex, Colchester, in 2010, and his Ph.D. degree in computer networks from Lancaster University, Lancaster, in 2014. Currently, he is an associate professor with the Department of Computer Science, College of Computer, Qassim University, Buraydah. He is also the director of a research group targeting IoT technologies and applications. His research interests include IoT, wireless sensor networks, network routing, networking protocols, and network security.

The development of IP-based Internet of Things (IoT) networks would facilitate more effective end-to-end IP network architectures, but it remains a challenge. Network routing needs to be effectively addressed in the IoT environments of scarce computational and energy resources. Accordingly, the Internet Engineering Task Force (IETF) has specified the IPv6 Routing Protocol for Low Power and Lossy Network (RPL) to provide a bespoke IPv6-based routing framework for IoT networks. However, RPL comes with no Quality of Service (QoS) support which is an essential requirement for many IoT applications. The network research community has introduced a number of research proposals enhancing RPL with different QoS solutions. This paper presents a review of these proposed solutions and aims to establish a firm understanding of recent QoS developments for RPL and possible areas for future IoT routing research. The focus is on comprehending the protocol and networking properties that can affect QoS performance in RPL networks. Consideration is also given to different objective functions developed for addressing varying QoS aspects such as throughput, delay, and packet loss. RPL is also extended in a number of QoS solutions following different approaches at the MAC, network, and application layers. However, there is still a need for further developments to address effective QoS support, particularly for dynamic RPL networks.


Key words: Internet of Things; low power and lossy network; quality of service; routing protocol ;

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[11] Imad Jawhar and Jie Wu. QoS Support in TDMA-Based Mobile Ad Hoc Networks [J]. , 2005, 20(6): 797-810 .
[12] Ke-Ping Long, Yun Li, Rodney S. Tucker, and Chong-Gang Wang. A Novel Framework for IP DiffServ over Optical Burst Switching Networks [J]. , 2004, 19(6): 0-0.
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[14] HE XiaoShan (何晓珊), SUN XianHe (孙贤和) and Gregor von Laszewski. QoS Guided Min-Min Heuristic for Grid Task Scheduling [J]. , 2003, 18(4): 0-0.
[15] PANG Bin (庞 斌), SHAO HuaiRong (邵怀荣)2 and GAO Wen (高 文). An Admission Control Scheme for End-to-End Statistical QoS Provision in IP Networks [J]. , 2003, 18(3): 0-0.
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