All Stories

  1. Unveiling the 5G Mid-Band Landscape: From Network Deployment to Performance and Application QoE
  2. EXPLORA: AI/ML EXPLainability for the Open RAN
  3. Characterizing and Modeling Mobile Networks User Traffic at Millisecond Level
  4. On blockchain integration into mobile crowdsensing via smart embedded devices: A comprehensive survey
  5. The CORONA business in modern cities
  6. Performance evaluation of hybrid crowdsensing systems with stateful CrowdSenSim 2.0 simulator
  7. Event-Based Vision: Understanding Network Traffic Characteristics
  8. A Machine-Learning-Based Framework for Optimizing the Operation of Future Networks
  9. openLEON: An end-to-end emulation platform from the edge data center to the mobile user
  10. The Impact of Human Mobility on Edge Data Center Deployment in Urban Environments
  11. Crowdsensed Data Learning-Driven Prediction of Local Businesses Attractiveness in Smart Cities
  12. Analysis of TCP Performance in 5G mm-Wave Mobile Networks
  13. Scaling Millimeter-Wave Networks to Dense Deployments and Dynamic Environments
  14. pDCell
  15. A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities
  16. CrowdSenSim 2.0
  17. Profiling Performance of Application Partitioning for Wearable Devices in Mobile Cloud and Fog Computing
  18. Why energy matters? Profiling energy consumption of mobile crowdsensing data collection frameworks
  19. Collaborative Data Delivery for Smart City-Oriented Mobile Crowdsensing Systems
  20. OpenLEON
  21. High-Precision Design of Pedestrian Mobility for Smart City Simulators
  22. Profiling Energy Efficiency of Mobile Crowdsensing Data Collection Frameworks for Smart City Applications
  23. Sociability-Driven Framework for Data Acquisition in Mobile Crowdsensing Over Fog Computing Platforms for Smart Cities
  24. Performance and Energy Efficiency Metrics for Communication Systems of Cloud Computing Data Centers
  25. Enriching Remote Control Applications with Fog Computing
  26. Cost analysis of smart lighting solutions for smart cities
  27. Energy efficient data collection in opportunistic mobile crowdsensing architectures for smart cities
  28. On the Energy-Proportionality of Data Center Networks
  29. CrowdSenSim: a Simulation Platform for Mobile Crowdsensing in Realistic Urban Environments
  30. A Cost-Effective Distributed Framework for Data Collection in Cloud-Based Mobile Crowd Sensing Architectures
  31. Intelligent Gaming for Mobile Crowd-Sensing Participants to Acquire Trustworthy Big Data in the Internet of Things
  32. Assessing Performance of Internet of Things-Based Mobile Crowdsensing Systems for Sensing as a Service Applications in Smart Cities
  33. Game-Theoretic Recruitment of Sensing Service Providers for Trustworthy Cloud-Centric Internet-of-Things (IoT) Applications
  34. Sociability-Driven User Recruitment in Mobile Crowdsensing Internet of Things Platforms
  35. Smart Probabilistic Fingerprinting for Indoor Localization over Fog Computing Platforms
  36. Network coding-based content distribution in cellular access networks
  37. Power comparison of cloud data center architectures
  38. Network-assisted offloading for mobile cloud applications
  39. Performance Metrics for Data Center Communication Systems
  40. Energy-Efficient Computation Offloading for Wearable Devices and Smartphones in Mobile Cloud Computing
  41. NC-CELL: Network coding-based content distribution in cellular networks for cloud applications