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Improvement of RPL Routing Strategy Based on 6LoWPAN

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Sensor Networks and Signal Processing

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 176))

Abstract

The routing protocol for low-power and lossy networks (RPL) has become the standard routing protocol for the Internet of things (IoT). This paper studies the application of RPL in the 6LoWPAN. In the topology construction process of the existing R_RPL routing strategy, the problem of the network depth of the node is not considered. This paper proposes an objective function optimization scheme named RR_RPL that combines energy consumption, hop count, ETX, and other metric factors and sets different weights for the parent nodes of different energy consumption. Simulations are done using Cooja with random waypoint mobility scenario, and the results show that the RR_RPL has higher network lifetime and PDR compared to related existing protocols.

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Authors and Affiliations

  1. Network Communication Technology Institute, Henan University of Science and Technology, Luoyang, China

    Hui Wang, Zhihui Fan & Peiyu Li

  2. School of Information Engineering, Henan University of Science and Technology, Luoyang, China

    Xiangfu He & Chaowu Zhang

Authors
  1. Hui Wang
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  2. Zhihui Fan
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  3. Xiangfu He
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  4. Peiyu Li
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  5. Chaowu Zhang
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Corresponding author

Correspondence to Zhihui Fan .

Editor information

Editors and Affiliations

  1. Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan

    Sheng-Lung Peng

  2. Informatics and Computer Techniques, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia

    Margarita N. Favorskaya

  3. Department of Electrical Engineering, National Dong Hwa University, Hualien, Taiwan

    Han-Chieh Chao

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Wang, H., Fan, Z., He, X., Li, P., Zhang, C. (2021). Improvement of RPL Routing Strategy Based on 6LoWPAN. In: Peng, SL., Favorskaya, M., Chao, HC. (eds) Sensor Networks and Signal Processing. Smart Innovation, Systems and Technologies, vol 176. Springer, Singapore. https://doi.org/10.1007/978-981-15-4917-5_2

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  • DOI: https://doi.org/10.1007/978-981-15-4917-5_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-4916-8

  • Online ISBN: 978-981-15-4917-5

  • eBook Packages: EngineeringEngineering (R0)

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