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Title: Addressing mobility in RPL with position assisted metrics
Author: Barceló Lladó, Marc
Correa Vila, Alejandro
López Vicario, José
Morell Pérez, Antoni
Vilajosana, Xavier  
Others: Universitat Autònoma de Barcelona
Universitat Oberta de Catalunya. Internet Interdisciplinary Institute (IN3)
Keywords: wireless sensor network
Kalman filtering
Issue Date: 1-Apr-2016
Publisher: IEEE Sensors Journal
Citation: Barcelo, M., Correa, A., López Vicario, J., Morell, A. & Vilajosana Guillen, X. (2016). Addressing Mobility in RPL With Position Assisted Metrics. IEEE Sensors Journal, 16(7), 2.151-2.161. doi: 10.1109/JSEN.2015.2500916
Project identifier: info:eu-repo/grantAgreement/TEC2014-53656-R
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Abstract: Mobility is still an open challenge in wireless sensor networks (WSNs). Energy efficient routing strategies designed for static WSNs, such as routing protocol for low-power and lossy networks (RPL), generally have a slow response to topology changes. Moreover, their high signalling cost to keep up-to-date routes in the presence of mobile nodes makes them inefficient in these scenarios. In this paper, we introduce Kalman positioning RPL (KP-RPL), a novel routing strategy for WSNs with both static and mobile nodes, based on RPL. The objective of KP-RPL is to provide robust and reliable routing, considering the positioning inaccuracies and node disconnections that arise in real-life WSNs. This considers the original RPL for the communication among static nodes and position-based routing for mobile nodes, which use a novel RPL metric that combines Kalman positioning and blacklisting. The simulation results show that the reliability and the robustness of the network in harsh conditions are enhanced compared with geographical routing. Moreover, KP-RPL reduces the density and the number of simultaneously active anchor nodes for positioning. As a result, the infrastructure cost is lower, and the network lifetime is extended.
ISSN: 1530-437XMIAR
Appears in Collections:Articles cientÍfics

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