An Energy-Efficient Clustering and Routing Framework for Disaster Relief Network

Dr. Antonino Masaracchia

Queen’s University Belfast, UK

Abstract

The lack of communication between local authorities, first aid responders, and the population that are present in a natural disaster area, represents critical aspects which can compromise relief operations in saving human lives. During natural disasters (earthquakes/tsunamis), the typical telecommunications network infrastructure in the affected area could be damaged or unfunctional. This can seriously compromise the efficiency of first aid operations. This talk illustrates a possible device-to-device (D2D)-based framework which, starting from some basic information such as positions and battery level of victim’s devices, could provide communication from a disaster area towards a functional area. This framework, utilized by a base station located in a functional area, organizes users of disaster area into clusters of users and for each cluster select a gateway. This framework permits also, to evaluate the optimal transmission power for each gateway in order to maximize the energy efficiency in the area and to create a multi-hop path from the disaster area to relay node minimizing the end-to-end delay. The simulations results demonstrate that this proposed approach outperforms either random policy assignment and static policies assignment in both power allocation and routing path creations.

Biography

Antonino Masaracchia received the Ph.D. degree in electronics and telecommunications engineering from the University of Palermo, Italy, in 2016. His Ph.D. studies were conducted in joint supervision with the Institute of Informatics and Telematics (IIT), National Research Council (CNR), Pisa, Italy, and the obtained results have been important contributions from IIT to the FP7-MOTO European Project. Since 2018, he is Research Fellow with the Centre for Wireless Innovation, Queen’s University Belfast, U.K. His research interests include heterogeneous networks, convex optimization and machine learning techniques, wireless communication, and green communication networking. He currently serves as a Guest Editor for IET Communications and a special issue on Radio Frequency Energy Harvesting and Wireless Power Transfer published by MDPI Electronics for which serves also as Topic Editor. He serves as guest editor for a special issue on Controls, Communications and Networking for Ad-hoc Mobile Sensor Networks published by ICSES Transactions on Computer Networks and Communications. He served as guest editor for a special issue on Reliable Communication for Emerging Wireless Networks published by Mobile Networks and Applications (ACM/Springer).