Projecte ofert
Títol: GNSS-Assisted Distributed Routing for Resilient Disaster Communication Networks
Per assignar-vos el projecte us heu de dirigir al director/a perquè us l'assigni.
Director/a: ALONSO ZÁRATE, LUIS
Departament: TSC
Títol: GNSS-Assisted Distributed Routing for Resilient Disaster Communication Networks
Data inici oferta: 17-02-2026 Data finalització oferta: 17-10-2026
Estudis d'assignació del projecte:
GR ENG SIS TELECOMUN- GR ENG SIST AEROESP
- GR ENG TELEMÀTICA
| Tipus: Individual | |
| Lloc de realització: EETAC | |
| Paraules clau: | |
| GNSS, Networks | |
| Descripció del contingut i pla d'activitats: | |
| Traditional MANET routing depends solely on topology discovery. In disaster scenarios with mobile nodes such as UAVs and rescue units, routes frequently break before data transmission is completed. GNSS integration enables:
' Real-time position awareness ' Velocity-based mobility estimation ' Reduced route discovery delay ' Improved synchronization using GNSS timing Classical geographic routing protocols such as Greedy Perimeter Stateless Routing (GPSR) introduced position-based forwarding but did not consider realistic disaster modeling or dynamic mobility adaptation. GPSR is referenced as a foundational protocol, while this project focuses on GNSS-assisted distributed coordination. GNSS Information Exchange Mechanism: - A key requirement of this proposal is to clearly explain how GNSS data is exchanged among nodes. 1. Local GNSS Acquisition: Each node independently obtains: o Latitude, longitude, altitude o Velocity vector o GNSS timestamp 2. Beacon-Based Distributed Exchange: Nodes periodically broadcast small beacon packets to one-hop neighbors containing: Node ID | Position | Velocity | Timestamp | Residual Energy This lightweight signaling ensures updated local awareness while minimizing routing overhead. 3. Neighbour Table Maintenance: Each node maintains a local neighbors table including: o Neighbour position and velocity o Link quality indicator o Last update time Routing decisions are made locally using this information. No global controller or centralized routing server exists. Coordination Architecture: - The proposed system follows a fully distributed coordination model. Disaster environments do not allow reliance on centralized infrastructure. A centralized routing controller would introduce a single-point failure and increase signaling delay. In the proposed approach: ' Each node independently selects its next-hop neighbors. ' Decisions are based on GNSS position, relative distance to destination, and link quality. ' No centralized database or global topology knowledge is required. Project Objective: - The project aims at designing and evaluating a GNSS-assisted distributed geographic routing protocol that improves reliability and performance of wireless communication networks in dynamic disaster scenarios. The study integrates routing enhancement and performance evaluation into a single coherent framework. Simulation Environment Setup: - Develop a simulation model in NS-3 including: ' GNSS-enabled mobile nodes ' UAV relay nodes ' Ground rescue teams ' Realistic mobility models ' Environment-specific propagation models Channel environments: - 1. Urban Collapse Scenario Frequent link obstructions and partial GNSS blockage. Key quality parameters: path stability and low delay. 2. Coastal Flood Scenario Large coverage area with sparse node deployment. Key quality parameters: packet delivery ratio and energy efficiency. 3. UAV-Assisted Communication Scenario High mobility with rapid topology variation. Key quality parameters: handover efficiency and route continuity. Performance Evaluation: - Analyze and compare the following performance metrics: ' Packet Delivery Ratio (PDR) ' End-to-End Delay ' Routing Overhead ' Energy Consumption ' Route Lifetime The GNSS-assisted routing protocol will be compared with: ' AODV ' DSR ' GPSR (seminal geographic routing protocol) The evaluation will quantify improvements in adaptability, stability, and communication resilience under disaster conditions. References: - [1] Jangral, A. (2024). Multi-GNSS Assisted Navigation for Disaster Management: A Comprehensive Review. International Journal for Research in Applied Science and Engineering Technology, 12, 5752-5758. https://doi.org/10.22214/ijraset.2024.62945 [2] Zhou, S., Chu, X., & Lu, Z. (2025). Enhancing Indoor Positioning with GNSS-Aided In-Building Wireless Systems. Electronics, 14(10), 2079. https://doi.org/10.3390/electronics14102079 |
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| Orientació a l'estudiant: | |
| Aquest TFG és part d'una tesi doctoral. La direcció efectiva la farà l'estudiant de doctorat, Rizwan Ashfaq, amb la meva supervisió acadèmica. Per més informació escriure a rizwan.ashfaq@upc.edu | |
| Requereix activitats hardware: No | |
| Requereix activitats software: Sí Sistema operatiu: Disc (Gb): | |
| Horari d'atenció a estudiants per a l'assignació de projecte: TFG ja assignat a una estudiant |
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