Abstract
AbstractThe extensive utilization of IoT applications leads to the aggregation of a substantial volume of data, presenting a crucial challenge in terms of data routing within these networks. RPL intentionally surpasses the limitations sometimes observed in low-power and lossy networks, which are particularly prevalent in IoT networks. The RPL protocol is designed specifically for static networks that do not involve mobility or topological changes. The RPL protocol guarantees continuous connectivity between nodes and mitigates the risk of data loss in stationary IoT applications that do not involve mobility or alterations in network configuration. The article utilizes a mobility aid technology known as network performance stability using the intelligent routing protocol (nPSIR), which expands upon RPL. The Mobility Support Entity (nPSIR) facilitates the displacement of all nodes, with the exception of the root node, and ensures uninterrupted connection during mobility. Moreover, it deals with the situation where there is a physical barrier between two interconnected nodes in a changing environment. In order to achieve this objective, it employs a dynamic trickle timer that operates within two distinct ranges. Furthermore, it utilizes a neighbor link quality table, a mechanism for selecting the most beneficial parent node in the event of migration, a measure of confidence, the identification of crucial regions, and a blacklist. Multiple simulations validate that nPSIR effectively decreases hand-off delay and improves packet delivery, despite the minor drawbacks of increased signaling costs and power consumption. The delivery ratio decreases the quantity of lost data packets and surpasses both RPL as a responsive protocol and mRPL as a proactive protocol in relation to mobility.
Publisher
Springer Science and Business Media LLC
Reference47 articles.
1. F. Abbas, P. Fan, Clustering-based reliable low-latency routing scheme using ACO method for vehicular networks. Veh. Commun. 12, 66–74 (2018)
2. D.G. Akestoridis. Security tools for attacking and monitoring low-power wireless personal area networks. Ph.D. thesis. Carnegie Mellon University (2022)
3. T.A. Al-Amiedy, M. Anbar, B. Belaton, A.A. Bahashwan, I.H. Hasbullah, M.A. Aladaileh, G.A. Mukhaini, A systematic literature review on attacks defense mechanisms in RPL-based 6lowpan of internet of things. Internet Things 22, 100741 (2023)
4. B.R. Al-Kaseem, Z.K. Taha, S.W. Abdulmajeed, H.S. Al-Raweshidy, Optimized energy-efficient path planning strategy in WSN with multiple mobile sinks. IEEE Access 9, 82833–82847 (2021)
5. R.S. Al-Qassas, M. Qasaimeh, Data fusion and the impact of group mobility on load distribution on mrhof and of0. Cybern. Inf. Technol. 22, 77–94 (2022)