i-manager Publications

Identification of Most Significant Parameter for Optimizing the Performance of RPL Routing Protocol in IoT Using Taguchi Design of Experiments

Chandra Sekhar Sanaboina*, Pallamsetty Sanaboina**

* Research Scholar, Jawaharlal Nehru Technological University, Kakinada, Andhra Pradesh, India.

** Professor, Computer Science and Systems Engineering, Andhra University, Visakhapatnam, Andhra Pradesh, India.

Periodicity:July - September'2018
DOI : https://doi.org/10.26634/jse.13.1.15198

Abstract

Internet of Things (IoT) consists of a wide variety of devices with limited power sources. Due to the adhered reason, energy consumption is considered as one of the major challenges in the IoT environment. In this research article, an attempt is made to optimize the existing Routing Protocol (RPL) towards a green technology. It focuses on finding the most significant parameter in the RPL using Taguchi Design of Experiments. It emphasizes the effects of five input factors Network Size, Mobility Speed, DIO_DOUBLING, DIO_MIN_INTERVAL and Redundancy Constant on only one output parameter Power Consumption. The findings show that DIO_MIN_INTERVAL is the leading factor that has a significant effect on the power consumption in RPL. After determining the most significant factor that affects the power consumption, measures can be taken to optimize the performance of RPL by applying some optimization techniques. COOJA simulator is used to carry out the simulations required for this research article.

Keywords

IoT, RPL, Design of Experiments (DoE), Taguchi DoE, Cooja Simulator.

How to Cite this Article?

Sanaboina, C. S., Sanaboina, P. (2018). Identification of Most Significant Parameter for Optimizing the Performance of RPL Routing Protocol in IoT Using Taguchi Design of Experiments. i-manager's Journal on Software Engineering, 13(1), 31-42. https://doi.org/10.26634/jse.13.1.15198

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	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Pdf	35	35	200	20
Online	35	35	200	15
Pdf & Online	35	35	400	25

Identification of Most Significant Parameter for Optimizing the Performance of RPL Routing Protocol in IoT Using Taguchi Design of Experiments

Abstract

Keywords

How to Cite this Article?

References

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