A Novel Energy-Efficient Cross-Layer Design for Scheduling and Routing in 6TiSCH Networks
<|reference_start|>A Novel Energy-Efficient Cross-Layer Design for Scheduling and Routing in 6TiSCH Networks: The 6TiSCH protocol stack was proposed to ensure high-performance communications in the Industrial Internet of Things (IIoT). However, the lack of sufficient time slots for nodes outside the 6TiSCH's Destination Oriented Directed Acyclic Graph (DODAG) to transmit their Destination Advertisement Object (DAO) messages and cell reservation requests significantly hinders their integration into the DODAG. This oversight not only prolongs the device's join time but also increases energy consumption during the network formation phase. Moreover, challenges emerge due to the substantial number of control packets employed by both the 6TiSCH Scheduling Function (SF) and routing protocol (RPL), thus draining more energy resources, increasing medium contention, and decreasing spatial reuse. Furthermore, an SF that overlooks previously allocated slots when assigning new ones to the same node may increase jitter, and more complications ensue when it neglects the state of the TSCH queue, thus leading to packet dropping due to queue saturation. Additional complexity arises when the RPL disregards the new parent's schedule saturation during parent switching, which results in inefficient energy and time usage. To address these issues, we introduce in this paper novel mechanisms, strategically situated at the intersection of SF and RPL that are designed to balance the control packet distribution and adaptively manage parent switching. Our proposal, implemented within the 6TiSCH simulator, demonstrates significant improvements across vital performance metrics, such as node's joining time, jitter, latency, energy consumption, and amount of traffic, in comparison to the conventional 6TiSCH benchmark.<|reference_end|>
@article{hannachi2024a,
    title={A Novel Energy-Efficient Cross-Layer Design for Scheduling and Routing
  in 6TiSCH Networks},
    author={Ahlam Hannachi, Wael Jaafar, Salim Bitam, and Nabil Ouazene},
    journal={arXiv preprint arXiv:2403.12949},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.12949},
    primaryClass={cs.NI}
}