human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "a solution for dynamic spectrum management in mission critical uav networks"):
  Abstract: In this paper, we study the problem of spectrum scarcity in a network of unmanned aerial vehicles (UAVs) during mission-critical applications such as disaster monitoring and public safety missions, where the pre-allocated spectrum is not sufficient to offer a high data transmission rate for real-time video-streaming. In such scenarios, the UAV network can lease part of the spectrum of a terrestrial licensed network in exchange for providing relaying service. In order to optimize the performance of the UAV network and prolong its lifetime, some of the UAVs will function as a relay for the primary network while the rest of the UAVs carry out their sensing tasks. Here, we propose a team reinforcement learning algorithm performed by the UAV's controller unit to determine the optimum allocation of sensing and relaying tasks among the UAVs as well as their relocation strategy at each time. We analyze the convergence of our algorithm and present simulation results to evaluate the system throughput in different scenarios.

Includes members:
  Member "ring oscillator and its application as physical unclonable function puf for password management":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a survey on hardware based security mechanisms for internet of things")
  Member "overview of blakley s secret sharing scheme":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a survey on hardware based security mechanisms for internet of things")
  Member "distributed cooperative spectrum sharing in uav networks using multi agent reinforcement learning":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a survey on hardware based security mechanisms for internet of things")
  Member "a reputation based stackelberg game model to enhance secrecy rate in spectrum leasing to selfish iot devices":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a survey on hardware based security mechanisms for internet of things")
  Member "leader follower based coalition formation in large scale uav networks a quantum evolutionary approach":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "wildfire monitoring in remote areas using autonomous unmanned aerial vehicles")
  Member "on greedy routing in dynamic uav networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "wildfire monitoring in remote areas using autonomous unmanned aerial vehicles")
  Member "traffic light control using deep policy gradient and value function based reinforcement learning":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "gamma reward a novel multi agent reinforcement learning method for traffic signal control")
  Member "deep reinforcement learning an overview":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "a survey of optimization methods from a machine learning perspective")

Question: Please tell me which class the source paper 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)