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Attunement of Trickle Algorithm for Optimum Reliability of RPL over IoT

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Book cover Security in Computing and Communications (SSCC 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 969))

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Abstract

Low power and lossy networks (LLNs) which are interconnected with internet to collect data through sensors and store them over the cloud make the Internet of Things (IoT). The routing protocols in LLNs play the essential role of forwarding and routing the packets. IPv6 routing protocol for Low power and lossy networks (RPL), used in LLNs has the key features of topology formation, control messages, objective function and Trickle algorithm. The trickle algorithm is a dynamic algorithm controlling the timer in RPL. There are some key parameters in the trickle algorithm that affect the functioning of the trickle timer and consequently the RPL itself. The efficiency, robustness and improvement of RPL depends to a great extent on the fine tuning of the trickle algorithm and there are no specific standard values provided for the attunement. This paper aims at creating a suitable simulation environment in Cooja Simulator over the Contiki operating system and attuning the key parameters of trickle algorithm, namely minimum interval (Imin), maximum interval (Imax) and redundancy value (k) to find out the optimum reliability of RPL.

RPL is expanded asIPv6 Routing Protocol for Low power and lossy networks.

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Authors and Affiliations

  1. Department of Computer Science and Applications, The Gandhigram Rural Institute (Deemed to be University), Gandhigram, Dindigul, 624302, Tamilnadu, India

    A. S. Joseph Charles & Kalavathi Palanisamy

Authors
  1. A. S. Joseph Charles
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  2. Kalavathi Palanisamy
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Corresponding author

Correspondence to Kalavathi Palanisamy .

Editor information

Editors and Affiliations

  1. Technology and Management, Indian Institute of Information, Kerala, India

    Sabu M. Thampi

  2. Department of Computer Science, Missouri University of Science and Technology, Rolla, MO, USA

    Sanjay Madria

  3. Guangzhou University, Guangzhou, China

    Guojun Wang

  4. Howard University, Washington, DC, USA

    Danda B. Rawat

  5. University of the West of Scotland, Paisley, Glasgow, UK

    Jose M. Alcaraz Calero

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Charles, A.S.J., Palanisamy, K. (2019). Attunement of Trickle Algorithm for Optimum Reliability of RPL over IoT. In: Thampi, S., Madria, S., Wang, G., Rawat, D., Alcaraz Calero, J. (eds) Security in Computing and Communications. SSCC 2018. Communications in Computer and Information Science, vol 969. Springer, Singapore. https://doi.org/10.1007/978-981-13-5826-5_49

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  • DOI: https://doi.org/10.1007/978-981-13-5826-5_49

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-5825-8

  • Online ISBN: 978-981-13-5826-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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