AN-RPL: Infrastructure-Assisted RPL Enhancement via Distributed Anchor Nodes for Mobile IoT Networks
DOI:
https://doi.org/10.62411/jcta.16184Keywords:
Anchor Node Deployment, Internet of Things (IoT), IPv6 Routing, Low-Power and Lossy Networks (LLNs), Mobility-Aware Routing, Mobile IoT, Routing Protocol for Low-Power and Lossy Networks (RPL), Wireless Sensor Networks (WSNs)Abstract
The Internet of Things (IoT) has attracted significant attention from the research community due to its wide range of applications. However, the limited energy, processing capability, storage, and communication capacity of IoT devices require routing solutions that are both lightweight and efficient. To address these constraints, the IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) was introduced in 2012 as a routing protocol specifically designed for resource-constrained IoT environments. Although RPL performs reliably in static deployments, its performance degrades considerably in mobile environments because of frequent topology changes, slow Trickle timer convergence, and excessive parent churn. This paper proposes Anchor-Node RPL (AN-RPL), an infrastructure-assisted enhancement of RPL that strategically deploys distributed fixed anchor nodes as stable DODAG roots while requiring only minimal firmware modification on mobile sensor nodes, namely a single anchor-flag check during parent selection. Simulation experiments conducted in Cooja using both OF0 and MRHOF objective functions across four scenarios (static, mobile with one, two, and four anchor nodes) demonstrate that AN-RPL with four anchor nodes improves the Data Delivery Ratio (DDR) by up to 30.6 percentage points, reduces the average hop count by up to 51.2%, lowers parent churn by up to 89.5%, and decreases average energy consumption by up to 14.8% compared with conventional single-root mobile RPL. These results demonstrate that infrastructure-assisted anchor deployment provides an effective and practical approach for improving routing reliability and efficiency in mobile RPL-based IoT networks.References
N. Monios, N. Peladarinos, V. Cheimaras, P. Papageorgas, and D. D. Piromalis, “A Thorough Review and Comparison of Commercial and Open-Source IoT Platforms for Smart City Applications,” Electronics, vol. 13, no. 8, p. 1465, Apr. 2024, doi: 10.3390/electronics13081465.
M. T. Nguyen, “Distributed compressive and collaborative sensing data collection in mobile sensor networks,” Internet of Things, vol. 9, p. 100156, Mar. 2020, doi: 10.1016/j.iot.2019.100156.
A. Brandt et al., “RPL: IPv6 Routing Protocol for Low-Power and Lossy Networks,” Mar. 2012. doi: 10.17487/rfc6550.
A. Oliveira and T. Vazão, “Low-power and lossy networks under mobility: A survey,” Comput. Networks, vol. 107, pp. 339–352, Oct. 2016, doi: 10.1016/j.comnet.2016.03.018.
M. T. Nguyen and H. R. Boveiri, “Energy-efficient sensing in robotic networks,” Measurement, vol. 158, p. 107708, Jul. 2020, doi: 10.1016/j.measurement.2020.107708.
H. Kharrufa, H. A. A. Al-Kashoash, and A. H. Kemp, “RPL-Based Routing Protocols in IoT Applications: A Review,” IEEE Sens. J., vol. 19, no. 15, pp. 5952–5967, Aug. 2019, doi: 10.1109/JSEN.2019.2910881.
K. A. Darabkh, M. Al-Akhras, J. N. Zomot, and M. Atiquzzaman, “RPL routing protocol over IoT: A comprehensive survey, recent advances, insights, bibliometric analysis, recommendations, and future directions,” J. Netw. Comput. Appl., vol. 207, p. 103476, Nov. 2022, doi: 10.1016/j.jnca.2022.103476.
Z. Shah, A. Levula, K. Khurshid, J. Ahmed, I. Ullah, and S. Singh, “Routing Protocols for Mobile Internet of Things (IoT): A Survey on Challenges and Solutions,” Electronics, vol. 10, no. 19, p. 2320, Sep. 2021, doi: 10.3390/electronics10192320.
O. Gaddour, A. Koubaa, R. Rangarajan, O. Cheikhrouhou, E. Tovar, and M. Abid, “Co-RPL: RPL routing for mobile low power wireless sensor networks using Corona mechanism,” in Proceedings of the 9th IEEE International Symposium on Industrial Embedded Systems (SIES 2014), Jun. 2014, pp. 200–209. doi: 10.1109/SIES.2014.6871205.
I. El Korbi, M. Ben Brahim, C. Adjih, and L. A. Saidane, “Mobility Enhanced RPL for Wireless Sensor Networks,” in 2012 Third International Conference on The Network of the Future (NOF), Nov. 2012, pp. 1–8. doi: 10.1109/NOF.2012.6463993.
M. Bouaziz, A. Rachedi, A. Belghith, M. Berbineau, and S. Al-Ahmadi, “EMA-RPL: Energy and mobility aware routing for the Internet of Mobile Things,” Futur. Gener. Comput. Syst., vol. 97, pp. 247–258, Aug. 2019, doi: 10.1016/j.future.2019.02.042.
F. Somaa, I. El Korbi, and L. A. Saidane, “Mobility support over RPL using sensor nodes speed classification,” in 2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA), Nov. 2016, pp. 1–6. doi: 10.1109/AICCSA.2016.7945688.
M. Alilou, A. Babazadeh Sangar, K. Majidzadeh, and M. Masdari, “QFS-RPL: mobility and energy aware multi path routing protocol for the internet of mobile things data transfer infrastructures,” Telecommun. Syst., vol. 85, no. 2, pp. 289–312, Feb. 2024, doi: 10.1007/s11235-023-01075-5.
A. Vaezian and Y. Darmani, “MSE-RPL: Mobility Support Enhancement in RPL for IoT Mobile Applications,” IEEE Access, vol. 10, pp. 80816–80832, 2022, doi: 10.1109/ACCESS.2022.3194273.
A. Seyfollahi, M. Mainuddin, T. Taami, and A. Ghaffari, “RM-RPL: reliable mobility management framework for RPL-based IoT systems,” Cluster Comput., vol. 27, no. 4, pp. 4449–4468, Jul. 2024, doi: 10.1007/s10586-023-04199-0.
P. Arivubrakan and G. R. Kanagachidambaresan, “K-Trickle: performance evaluation and impact on quality of service in resource-constrained networks,” Int. J. Data Sci. Anal., vol. 19, no. 4, pp. 783–792, May 2025, doi: 10.1007/s41060-024-00531-y.
A. Triantafyllou, P. Sarigiannidis, and T. D. Lagkas, “Network Protocols, Schemes, and Mechanisms for Internet of Things (IoT): Features, Open Challenges, and Trends,” Wirel. Commun. Mob. Comput., vol. 2018, no. 1, pp. 1–24, Jan. 2018, doi: 10.1155/2018/5349894.
A. J. Dey and H. K. D. Sarma, “Routing Techniques in Internet of Things: A Review,” in Trends in Communication, Cloud, and Big Data, vol. 99, Springer, 2020, pp. 41–50. doi: 10.1007/978-981-15-1624-5_5.
A. P., H. S. Vimala, and S. J., “Comprehensive review on congestion detection, alleviation, and control for IoT networks,” J. Netw. Comput. Appl., vol. 221, p. 103749, Jan. 2024, doi: 10.1016/j.jnca.2023.103749.
A. Jahangeer, S. U. Bazai, S. Aslam, S. Marjan, M. Anas, and S. H. Hashemi, “A Review on the Security of IoT Networks: From Network Layer’s Perspective,” IEEE Access, vol. 11, pp. 71073–71087, 2023, doi: 10.1109/ACCESS.2023.3246180.
Z. Ghanbari, N. J. Navimipour, M. Hosseinzadeh, H. Shakeri, and A. Darwesh, “A New Lightweight Routing Protocol for Internet of Mobile Things Based on Low Power and Lossy Network Using a Fuzzy-Logic Method,” Pervasive Mob. Comput., vol. 97, p. 101872, Jan. 2024, doi: 10.1016/j.pmcj.2023.101872.
V. C. Diniesh, B. Palaniswamy, L. Murali, N. Manikandan, and K. Ramaswamy, “Improved energy efficient load balanced mobility management RPL protocol for mobile internet of things networks,” Sci. Rep., vol. 15, no. 1, p. 43199, Nov. 2025, doi: 10.1038/s41598-025-27253-w.
M. Ebrahim, M. Al-Rudaini, and W. Mardini, “A Tutorial for BonnMotion with Contiki Cooja,” Research Gate. 2017. doi: 10.13140/RG.2.2.24297.29281.
P. Thubert, “Objective Function Zero for the Routing Protocol for Low-Power and Lossy Networks (RPL),” Mar. 2012. doi: 10.17487/rfc6552.
O. Gnawali and P. Levis, “The Minimum Rank with Hysteresis Objective Function,” Sep. 2012. doi: 10.17487/rfc6719.
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Copyright (c) 2026 Thang C. Vu, Minh T. Nguyen, Mui D. Nguyen, Long Q. Dinh, Dung T. Nguyen, Duc M. Ngo
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