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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 5, 2019.
Abstract: The Internet of Things (IoT) is an extensive network between people-people, people-things and things-things. With the overgrown opportunities, then it also comes with a lot of challenges proportional to the number of connected things to the network. The IPv6 allows us to connect a huge number of things. For resource-constrained IoT devices, the routing issues are very thought-provoking and for this purpose an IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) is proposed. There are multi-HOP paths connecting nodes to the root node. Destination Oriented Directed Acyclic Graph (DODAG) is created taking into account different parameters such as link costs, nodes attribute and objective functions. RPL is flexible and it can be tuned as per application demands, therefore, the network can be optimized by using different objective functions. This paper presents a novel energy efficient analysis of RPL by performing a set of simulations in COOJA simulator. The performance evaluation of RPL is compared by introducing different Objective functions (OF) with multiple metrics for the network.
Mah Zaib Jamil, Danista Khan, Adeel Saleem, Kashif Mehmood and Atif Iqbal, “Comparative Performance Analysis of RPL for Low Power and Lossy Networks based on Different Objective Functions” International Journal of Advanced Computer Science and Applications(IJACSA), 10(5), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100524
@article{Jamil2019,
title = {Comparative Performance Analysis of RPL for Low Power and Lossy Networks based on Different Objective Functions},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100524},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100524},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {5},
author = {Mah Zaib Jamil and Danista Khan and Adeel Saleem and Kashif Mehmood and Atif Iqbal}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.