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Investigation of next generation internet protocol mobility-assisted solutions for low power and lossy networks

Publication Type : Conference Paper

Publisher : Elsevier

Source : Procedia computer science

Url : https://www.sciencedirect.com/science/article/pii/S1877050918321033

Keywords : 6Lowpan, Communication channels (information theory), Computing devices, Internet of things, Internet protocols, IPv6 over low-power wireless personal area networks (6LoWPAN), Low power and lossy networks, Low power electronics, Mobile IPv6, Mobile telecommunication systems, Mobility supports, Networking protocols, Next generation Internet, Next generation networks, Personal communication systems

Campus : Coimbatore

School : School of Engineering

Department : Computer Science

Year : 2018

Abstract : With the phenomenal increase of computing devices, especially the low powered mobile devices created many new requirements for traditional networking protocols and standards. The IPv6 was introduced as the solution for addressing requirements but still, some major issues persist due to the limitations of computing devices such as power related limitations, the challenge in the deployment environments and restrictions allied to computing and memory capacity. Many new standards were proposed such as the IPv6 over Low-Power Wireless Personal Area Networks (6LoWPAN), the IPv6 routing protocol for Low Power and Lossy Networks (RPL) to meet the challenges. Even though RPL greatly satisfies the requirements for low-powered networks, quite a few issues remain open for enhancement, especially with respect to mobility support. This present paper examines next-generation internet protocol mobility schemes for the RPL and 6LoWPAN and analyzes how the proposed variants satisfy the necessities for low power and lossy networks. © 2018 The Authors. Published by Elsevier B.V.

Cite this Research Publication : S. S. Vidhya and Dr. Senthil Kumar M., “Investigation of next generation internet protocol mobility-assisted solutions for low power and lossy networks”, in Procedia Computer Science, 2018, vol. 143, pp. 349-359.

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