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Internet of Drones (1601.01289v2)

Published 6 Jan 2016 in cs.NI and cs.RO

Abstract: The Internet of Drones (IoD) is a layered network control architecture designed mainly for coordinating the access of unmanned aerial vehicles to controlled airspace, and providing navigation services between locations referred to as nodes. The IoD provides generic services for various drone applications such as package delivery, traffic surveillance, search and rescue and more. In this paper, we present a conceptual model of how such an architecture can be organized and we specify the features that an IoD system based on our architecture should implement. For doing so, we extract key concepts from three existing large scale networks, namely the air traffic control network, the cellular network, and the Internet and explore their connections to our novel architecture for drone traffic management.

Citations (139)

Summary

  • The paper proposes a layered 'Internet of Drones' (IoD) architecture for coordinating UAVs in controlled airspace, drawing parallels with existing networks like air traffic control and the Internet.
  • This IoD framework aims to facilitate diverse drone applications such as package delivery and surveillance by dividing airspace into managed zones coordinated by Zone Service Providers (ZSPs).
  • Implementing IoD requires new regulations and may leverage existing cellular infrastructure for communication and navigation, potentially revolutionizing urban logistics and enhancing airspace efficiency.

Internet of Drones: Architecture and Implications

The paper "Internet of Drones" by Mirmojtaba Gharibi, Raouf Boutaba, and Steven L. Waslander presents a layered network control architecture, termed the Internet of Drones (IoD), aiming to coordinate unmanned aerial vehicles (UAVs) in controlled airspace while providing generic navigation services. The authors draw parallels to established large-scale network structures, such as the air traffic control network, cellular networks, and the Internet, to propose a novel architecture capable of supporting diverse drone applications, including package delivery, surveillance, and rescue operations.

Architecture Overview

The paper delineates a conceptual model for organizing IoD, specifying essential features such as layered architecture, routing protocols, and congestion control mechanisms. IoD divides airspace into structured zones, each encompassing airways, intersections, and nodes, facilitating collision-free navigation akin to urban road networks. The zones are managed by Zone Service Providers (ZSPs), which coordinate access, navigate drones through network paths, and ensure necessary tasks such as refueling and emergency landings.

Numerical Insights and Bold Assertions

The authors assert that IoD can usher in an era of efficient drone-based logistics, supported by data indicating significant potential for commercial viability. They reference statistics from Amazon and FedEx, highlighting that most commercial packages fall within drones' payload capacity, indicating readiness for widespread application. Additionally, they emphasize that without centralized control akin to traditional air traffic systems, IoD must rely on decentralized, scalable methods akin to Internet protocols.

Implications and Future Directions

The implementation of IoD suggests substantial implications for urban mobility and logistics, demanding new regulatory frameworks to accommodate drone traffic within existing airspace controls. Architectural principles drawn from cellular networks and the Internet guide IoD’s scalable and interoperable design, potentially enhancing airspace efficiency akin to telecommunications.

A critical exploration is required to address routing complexities given the potential congestion within IoD layers. Emulating Internet's decentralized traffic management may offer solutions to maintain seamless drone operations amidst challenging urban environments.

Furthermore, the interplay between IoD and existing communication networks, particularly leveraging cellular infrastructure, may facilitate integration, reduce deployment costs, and improve network reliability. ZSPs could utilize established base stations for both communication and navigation control, aligning drone operations with cellular network expertise.

Conclusion

The IoD architecture presents a promising framework for integrating UAVs into controlled airspace, with potential to revolutionize urban logistics and enhance safety protocols. The paper lays the groundwork for scalable drone operations, proposing a coherent structure while inviting further research into implementing and optimizing IoD systems. Ensuring regulatory approval and technological robustness remains a priority, highlighting the need for comprehensive cross-sector collaborations. The discourse initiated by this paper inevitably catalyzes further exploration of IoD's role in transforming aerial mobility and fostering sustainable innovation in drone technology.