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D. Fanucchi, F. Righetti, C. Vallati, B. Staehle, G. Anastasi, “Improving Link Quality Estimation Accuracy in 6TiSCH Networks”, IEEE International Conference on Internet of Things: Systems, Management and Security (IoTSMS 2019), Granada, Spain, 2019

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The Industrial Internet of Things (IIoT) will lever- age on wireless network technologies to integrate in a seam- less manner Cyber-Physical systems into existing information systems. In this context, the 6TiSCH architecture, proposed by IETF, represents the current leading standardization effort to enable timed and reliable data communication within IPv6 networks for industrial applications. In wireless networks, Link Quality Estimation (LQE) is a crucial task to select the best routes for data forwarding, regardless of unpredictable time varying conditions. Although, many solutions have been proposed in literature for LQE, the majority of them are not designed specifically for TSCH networks. In this paper, we analyze the performance of existing LQE strategies on 6TiSCH networks. First, we run a set of simulations to measure the performance of one existing LQE strategy in 6TiSCH. Our simulations show that such strategy can result in measurements with low accuracy due to the 6TiSCH default timeslot allocation strategy. Consequently, we propose an extension of the 6TiSCH Minimal Configuration that allocates specific timeslots for the transmission of probing messages to mitigate the problem. The proposed methodology is demonstrated to effectively reduce the LQE error.

Keywords: Link Quality Estimation, RPL, ETX, 6TiSCH.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 

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