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Frontiers of Information Technology & Electronic Engineering >> 2021, Volume 22, Issue 12 doi: 10.1631/FITEE.2000658

A novel context-aware RPL algorithm based on a triangle module operator

Affiliation(s): Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, Tianjin 300387, China; Chinese People’s Liberation Army Unit 61846, Zhuozhou 072750, China; less

Received: 2020-11-23 Accepted: 2021-12-23 Available online: 2021-12-23

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Abstract

For the use in low-power and lossy networks (LLNs) under complex and harsh communication conditions, the routing protocol for LLNs (RPL) standardized by the Internet Engineering Task Force is specially designed. To improve the performance of LLNs, we propose a novel RPL algorithm based on a (CAR-TMO). A novel composite routing metric (CA-RM) is designed, which synchronously evaluates the residual energy index, buffer occupancy ratio of a node, expected transmission count (ETX), delay, and hop count from a candidate parent to the root. CA-RM considers the residual energy index and buffer occupancy ratio of the candidate parent and its preferred parent in a recursive manner to reduce the effect of upstream parents, since farther paths are considered. CA-RM comprehensively uses the sum, mean, and standard deviation values of ETX and delay of links in a path to ensure a better performance. Moreover, in CAR-TMO, the of each routing metric is designed. Then, a comprehensive is constructed based on a , the of each routing metric, and a comprehensive objective function. A novel mechanism for calculating the node rank and the mechanisms for preferred parent selection are proposed. Finally, theoretical analysis and simulation results show that CAR-TMO outperforms several state-of-the-art RPL algorithms in terms of the packet delivery ratio and energy efficiency.

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