@inproceedings{FanucchiRighettiVallatietal.2019,
  author    = {Fanucchi, Dario and Righetti, Francesca and Vallati, Carlo and Staehle, Barbara and Anastasi, Giuseppe},
  title     = {Improving link quality estimation accuracy in 6TiSCH networks},
  booktitle = {2019 Sixth International Conference on Internet of Things : Systems, Management and Security (IOTSMS), 22-25 Oct. 2019, Granada, Spain},
  isbn      = {978-1-7281-2949-5},
  doi       = {10.1109/IOTSMS48152.2019.8939167},
  institution = {Fakult{\"a}t Informatik},
  pages     = {243 -- 250},
  year      = {2019},
  abstract  = {The Industrial Internet of Things (IIoT) will leverage on wireless network technologies to integrate in a seamless 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 for LQE have been proposed in literature, the majority of them are not designed specifically for 6TiSCH 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.},
  language  = {en}
}