Kolloqiumsvortrag 4. Februar 2025, David Pauli (Betreuer: Deutschmann)
Application Performance Management for Low-Power Wireless Networks
Industrial wireless sensor networks demand high reliability, robustness and adaptability to cope with dynamic environments and shifting network requirements. While the standardized 6TiSCH protocol stack provides dependable wireless communication for low-power networks in industrial settings, current implementations lack flexible runtime management capabilities vital for sustaining optimal performance. This thesis addresses the challenge of runtime performance management in 6TiSCH networks by introducing a standards-based management system using the Constrained Application Protocol (CoAP) Management Interface (CORECONF). The goal is to enable dynamic adaptation of critical network parameters, specifically the RPL parent-selection mechanisms and TSCH channel-hopping sequences, to respond to both external interference and internal network demands. Our approach comprises three core components. First, we present a resource-efficient CORECONF implementation designed for constrained embedded systems running Contiki-NG. Second, we devise a synchronized management interface that configures network parameters in real time at both the node and cluster levels. Third, we detail three practical use cases for runtime adaptation: (1) external interference avoidance, (2) intra-network collision reduction, and (3) priority-based transmission clustering. Extensive Cooja simulations validate the effectiveness of our system, demonstrating significant collision reduction, enhanced network reliability under interference, and improved throughput for high-priority traffic. These results establish a foundation for autonomous network management in industrial wireless deployments. The developed system not only demonstrates the feasibility of standards-based runtime management in 6TiSCH networks but also opens new possibilities for self-adapting industrial wireless networks that can maintain optimal performance under varying environmental conditions.
Zeit: 11:00 Uhr
Ort: Raum 04.137, Martensstr. 3, Erlangen
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Zoom-Meeting beitreten:
https://fau.zoom-x.de/j/68350702053?pwd=UkF3aXY0QUdjeSsyR0tyRWtLQ0hYUT09
Meeting-ID: 683 5070 2053
Kenncode: 647333