Andrea Coletta
ABSTRACT
Has now become more important than ever to guarantee an always present connectivity to users, especially in emergency scenarios. However, in case of a disaster, network infrastructures are often damaged, with consequent connectivity disruption, isolating users when are more in need for information and help. Drones may supply with a recovery network, thanks to their capabilities to provide network connectivity on the fly. However, users typically need special devices or applications to reach these networks, reducing their applicability and adoption.
To tackle this problem we present DANGER, a framework able to create a mesh network of drones, which can be reached by any WiFi smartphone. DANGER is highly flexible and does not require any special application: all connected devices can chat, with voice and videos, through a simple web-application. The DANGER network is completely distributed, can work even partitioned or in case of drones failures.
- A. Neumann, C. Aichele, M. Lindner, & S. Wunderlich, Better Approach To Mobile Ad-hoc Networking (BATMAN), Internet-Draft, pages 1--24, 2008Google Scholar
- Z. Lu, G. Cao, & T. La Porta (2017). Teamphone: Networking smartphones for disaster recovery. IEEE Transactions on Mobile Computing, 16(12), 3554--3567.Google ScholarCross Ref
- N. Bartolini, A. Coletta, G. Maselli, & M. Piva (2020, June). DRUBER: a trustable decentralized drone-based delivery system. In Proceedings of the 6th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications (pp. 1--6).Google ScholarDigital Library
- N. Bartolini, A. Coletta, & G. Maselli (2019, July). On task assignment for early target inspection in squads of aerial drones. IEEE. In 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS) (pp. 2123--2133).Google Scholar
- A. Otto, et al. "Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey." Networks 72.4 (2018): 411--458.Google Scholar
- M. Erdelj, E. Natalizio, K. R. Chowdhury, & I. F. Akyildiz (2017). Help from the sky: Leveraging UAVs for disaster management. IEEE Pervasive Computing, 16(1), 24--32.Google ScholarDigital Library
- L. Ferranti, S. D'Oro, L. Bonati, E. Demirors, F. Cuomo, & T. Melodia (2019, June). HIRO-NET: Self-organized robotic mesh networking for Internet sharing in disaster scenarios. IEEE. In 2019 IEEE 20th International Symposium on" A World of Wireless, Mobile and Multimedia Networks"(WoWMoM) (pp. 1--9).Google Scholar
Index Terms
- DANGER: a drones aided network for guiding emergency and rescue operations
Recommendations
A Finite-State Machine for Collaborative Airlift with a Formation of Unmanned Air Vehicles
The article presents a finite-state machine, or FSM, for multi-vehicle airlift and experimental results of untethered multi-quadrotor flight. The rationale is as follows: before attaching a payload to a group of drones and deploying these vehicles in ...
The uses of unmanned aerial vehicles –UAV’s- (or drones) in social logistic: Natural disasters response and humanitarian relief aid
AbstractThis paper evaluates the crucial role of unmanned aerial vehicles –UAV’s- (or Drones) in the case of natural disasters response and humanitarian relief aid. The primary objective of this paper is to evaluate how unmanned aerial vehicles –UAV’s- (...
A survey on security and privacy issues of UAVs
AbstractIn the 21st century, the industry of drones, also known as Unmanned Aerial Vehicles (UAVs), has witnessed a rapid increase with its large number of airspace users. The tremendous benefits of this technology in civilian applications ...
Comments