Research

My research activity addresses the design, analysis and performance evaluation of Wireless and Mobile protocols and architectures, focusing on:



The Internet of Things (IoT) and the Web of Things (WoT)

MAIN RESEARCH ISSUES

  • W3C Web of Things
  • IoT Monitoring applications
  • Machine-to-machine (M2M) communication
  • IoT interoperability

RECENT PUBLICATIONS
1) L. Sciullo, A. Trotta, M. Di Felice, Design and Performance Evaluation of a LoRa-based mObile emergenCy mAnagement sysTEm (LOCATE), Vol.96, Ad Hoc Networks (Elsevier), 2019. Online
2) C. Aguzzi, L. Gigli, L. Sciullo, A. Trotta, M. Di Felice, From Cloud to Edge: Seamless Software Migration at the Era of the Web of Things, IEEE ACCESS, Vo. 8, pp. 228118-228135, 2020. Online



Robotic wireless networks and Unmanned Aerial Vehicle Systems (UAVS)

MAIN RESEARCH ISSUES

  • Algorithms and applications of UAV swarms
  • Modeling and simulation of distributed UAVs
  • Energy efficiency and persistent coverage
  • UAV-aided sensor networks

RECENT PUBLICATIONS
1) A. Trotta, M. Di Felice, L. Perilli, E. F. Scarselli, T. S. Cinotti, BEE-DRONES: Ultra low-power monitoring systems based on unmanned aerial vehicles and wake-up radio ground sensors, Computer Networks (Elsevier), Vo. 180, pp. 1 - 18, 2020. Online
2) A. Trotta, L. Montecchiari, M. Di Felice, L. Bononi, A GPS-free Flocking Model for Aerial Mesh Deployments in Disaster-Recovery Scenarios, IEEE ACCESS, Vo. 8, pp. 91558 - 91573, 2020. Online



Context-aware and mobile computing

MAIN RESEARCH ISSUES

  • Indoor localization via RF techniques
  • Human Activity Recognition (HAR) from smartphone sensor data
  • Energy-efficient geofencing
  • Location-based services and applications

RECENT PUBLICATIONS
1) L. Bedogni, M. Di Felice, L. Bononi, Context-Aware Android Applications through Transportation Mode Detection Techniques, Wireless Communications and Mobile Computing Journal (Wiley), Vo. 16, No. 16, pp. 2523-2541, 2016. Online
2) L. Sciullo, A. Trotta, M. Di Felice, Indoor Location Services through Multi-Source Learning-based Radio Fingerprinting Techniques", in Proc. of the 2019 5th IEEE International Symposium on Measurements and Networking (IEEE M&N 2019), Catania, Italy, July 8-10, 2019. Online



Learning-based and AI-empowered wireless networks

MAIN RESEARCH ISSUES

  • Cognitive Radio (CR) networks
  • Reinforcement Learning applications in IoT
  • Bio-inspired networking and computing
  • Edge AI approaches


RECENT PUBLICATIONS
1) M. Di Felice, L. Bedogni, L. Bononi, Reinforcement-learning Based Spectrum Management for Cognitive Radio Networks: Use-cases and Deployments, Handbook of Cognitive Radio (Springer), pp. 1-38, 2018. Online
2) S. Mohanti, N. Soltani, K. Sankhe, D. Jaisinghani M. Di Felice, K. Chowdhury, AirID: Injecting a Custom RF Fingerprint for Enhanced UAV Identification using Deep Learning, in Proc. of the 2020 IEEE Global Communications Conference (IEEE GLOBECOM 2020), 7-11 December 2020 (Virtual Conference). Online