human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "internet of drones"
  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. A simulation platform for IoD is being implemented which can be accessed from www.IoDnet.org in the future.

Connected through hyperedge HE-1 (induced by source paper "uav communications for 5g and beyond recent advances and future trends"):
  with members:
    - "comparison of limited feedback schemes for noma transmission in mmwave drone networks"
    - "energy optimization for cellular connected multi uav mobile edge computing systems with multi access schemes"
    - "beyond 5g with uavs foundations of a 3d wireless cellular network"
    - "resource allocation for solar powered uav communication systems"
    - "cellular connected uav potentials challenges and promising technologies"
    - "real time optimal resource allocation for embedded uav communication systems"
    - "optimal 3d trajectory design and resource allocation for solar powered uav communication systems"
    - "minimum throughput maximization in uav aided wireless powered communication networks"

Connected through hyperedge HE-2 (induced by source paper "security privacy and trust for smart mobile internet of things m iot a survey"):
  with members:
    - "a framework for mitigating zero day attacks in iot"
    - "nhad neuro fuzzy based horizontal anomaly detection in online social networks"
    - "mobile edge computing fog et al a survey and analysis of security threats and challenges"
    - "advertising in the iot era vision and challenges"
    - "managing service heterogeneity using osmotic computing"
    - "extension of mih to support fpmipv6 for optimized heterogeneous handover"
    - "securing wireless communications of the internet of things from the physical layer an overview"
    - "traffic aware patching for cyber security in mobile iot"

Connected through hyperedge HE-3 (induced by source paper "no peeking through my windows conserving privacy in personal drones"):
  with members:
    - "yolov3 an incremental improvement"
    - "unmanned aerial vehicle forensic investigation process dji phantom 3 drone as a case study"
    - "privacy preserving machine learning threats and solutions"
    - "smart surveillance as an edge network service from harr cascade svm to a lightweight cnn"
    - "ssd single shot multibox detector"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"
    - "faster r cnn towards real time object detection with region proposal networks"
    - "spatial pyramid pooling in deep convolutional networks for visual recognition"

Connected through hyperedge HE-4 (induced by source paper "plane an extensible open source framework for modeling the internet of drones"):
  with members:
    - "unmanned aerial vehicles uavs a survey on civil applications and key research challenges"

Connected through hyperedge HE-5 (induced by source paper "3d traffic flow model for uavs"):
  with members:
    - "a new microscopic traffic model using a spring mass damper clutch system"

Connected through hyperedge HE-6 (induced by source paper "qualitative and quantitative risk analysis and safety assessment of unmanned aerial vehicles missions over the internet"):
  with members:
    - "car detection using unmanned aerial vehicles comparison between faster r cnn and yolov3"

Connected through hyperedge HE-7 (induced by source paper "iod crypt a lightweight cryptographic framework for internet of drones"):
  with members:
    - "dronecrypt an efficient cryptographic framework for small aerial drones"

Connected through hyperedge HE-8 (induced by source paper "uplink cooperative noma for cellular connected uav"):
  with members:
    - "capacity characterization of uav enabled two user broadcast channel"
    - "cellular connected uav uplink association power control and interference coordination"
    - "cellular connected uav potentials challenges and promising technologies"
    - "supporting uav cellular communications through massive mimo"
    - "mobile networks connected drones field trials simulations and design insights"
    - "multi beam uav communication in cellular uplink cooperative interference cancellation and sum rate maximization"
    - "cellular enabled uav communication a connectivity constrained trajectory optimization perspective"
    - "signal processing for mimo noma present and future challenges"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.NI(Networking and Internet Architecture)