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Study of Mobility Enhancements for RPL in Convergecast Scenarios

LIMOS/CNRS, Université Clermont Auvergne, 63170 Aubière, France
Author to whom correspondence should be addressed.
Future Internet 2017, 9(4), 86;
Received: 3 October 2017 / Revised: 10 November 2017 / Accepted: 14 November 2017 / Published: 17 November 2017
PDF [494 KB, uploaded 17 November 2017]


In recent years, mobility support has become an important requirement in various wireless sensor network (WSN) applications. However, due to the strict resource constraints of power, memory, and processing resources in WSNs, routing protocols are mainly designed without considering mobility. Low-Power and Lossy Networks (LLNs) are a special type of WSNs that tolerate data loss. The Routing Protocol for Low-Power and Lossy Networks (RPL) is a routing protocol for LLNs that adapts IPv6 (Internet Protocol version 6) and runs on top of the IEEE (Institute of Electrical and Electronics Engineers) 802.15.4 standard. RPL supports multipoint-to-point traffic and point-to-multipoint traffic. In this paper we propose a mobility enhancement mechanism in order to improve data collection applications in highly mobile scenarios. The enhancement is based on signal strength monitoring and depth updating in order to improve the routing protocol performance in mobile scenarios. This enhancement helps routing protocols to cope better with topology changes and makes proactive decisions on updating next-hop neighbours. We integrated this mechanism into the RPL and compared it with other existing RPL mobility support enhancements. Results obtained through simulation using Cooja show that our work outperforms other existing RPL mobility supports on different performance metrics. Results also prove the efficiency of our proposal in highly mobile scenarios. View Full-Text
Keywords: LLN; RPL; WSN; mobility; convergecast LLN; RPL; WSN; mobility; convergecast

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Wang, J.; Chalhoub, G. Study of Mobility Enhancements for RPL in Convergecast Scenarios. Future Internet 2017, 9, 86.

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