T2WISTOR: TTU Wireless Mobile Networking Laboratory

 

    
We design, analyze, evaluate, simulate, and implement protocols, algorithms, and systems in the areas of Mobile Data Management and Privacy, Cybersecurity, Aerial Computing, and Wireless Networks and Mobile Computing.


NSF CNS EArly-concept Grants for Exploratory Research (EAGER) Project
  • Education DCL: EAGER: Developing a Cyber-Aerial Computing Curriculum for Improving Sky-of-Privacy-Things Education through a Modular-Based Integrated Framework

Cooperative and Self-Tuned Caching and Mobile Data Querying:
  • The goal of this research is to design cache-based data access strategies to deal with a flexible consistency, deliver sensory data securely and reliably, support applications with diverse consistency requirements, and query mobile data efficiently.
  • PQry: Privacy-Aware Spatial Querying
  • MQry: Querying Mobile Point-of-Interests
  • VRSense: Validity Region Aware Query Processing Strategies
  • T-Reduce: Route-Aware Mobile Trajectory Data Reduction
  • ConSense: User-defined Cache Consistency and Opportunistic Data Access
  • A Cooperative Data Access in Internet-based Vehicular Ad Hoc Networks
  • Mobile Data Management Strategies in Hybrid Wireless Networks
  • Cache Invalidation Strategies in Internet-based Mobile Ad Hoc Networks

Scalable and Reliable Data Dissemination:
  • The goal of this research is to design scalable and reliable algorithms and associated communication protocols for multi-hop resource-constrained networks.
  • TCast: A Transition Region Aware Data Dissemination in Variable Link Qualities
  • Performance Evaluation of GPS-Free Geometric Broadcast Strategies
  • Geometric Broadcast Without GPS Support in Dense Networks
  • RandomCast: A Randomized Communication Scheme for Energy-Efficient MANETs
  • Robustness and Clustered Mobility Model in Multi-hop Networks

Detection and Countermeasure to Cyber Attacks:
  • The goal of this research is to detect forwarding misbehaviors and develop a countermeasure to selective forwarding attack and its variants to deliver sensory data securely and reliably in energy-constrained wireless networks.

Data-Intensive Evacuation Assisting and Post Disaster Relieving:
  • The goal of this research is to design efficient data dissemination/querying and route planning algorithms for improving evacuation and expediting disaster relief operations.
  • Pocket-sized Drone based Scan-and-Locate for Expediting Earthquake Relief
  • Effective Evacuation Route Planning Algorithms
  • Segmented Arrival Graph based Evacuation Plan Assessment Algorithm
  • Evacuation Assisting Vehicular Ad Hoc Networks

Energy Harvesting Aware IoT Devices:
  • The goal of this research is to understand underlying properties of vibration energy harvesting and practical obstacles, and design vibration energy harvesting aware algorithms and communication protocols.