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 "underwater optical wireless communications networking and localization a survey"):
  Abstract: Underwater wireless communications can be carried out through acoustic, radio frequency (RF), and optical waves. Compared to its bandwidth limited acoustic and RF counterparts, underwater optical wireless communications (UOWCs) can support higher data rates at low latency levels. However, severe aquatic channel conditions (e.g., absorption, scattering, turbulence, etc.) pose great challenges for UOWCs and significantly reduce the attainable communication ranges, which necessitates efficient networking and localization solutions. Therefore, we provide a comprehensive survey on the challenges, advances, and prospects of underwater optical wireless networks (UOWNs) from a layer by layer perspective which includes: 1) Potential network architectures; 2) Physical layer issues including propagation characteristics, channel modeling, and modulation techniques 3) Data link layer problems covering link configurations, link budgets, performance metrics, and multiple access schemes; 4) Network layer topics containing relaying techniques and potential routing algorithms; 5) Transport layer subjects such as connectivity, reliability, flow and congestion control; 6) Application layer goals and state-of-the-art UOWN applications, and 7) Localization and its impacts on UOWN layers. Finally, we outline the open research challenges and point out the future directions for underwater optical wireless communications, networking, and localization research.

Includes members:
  Member "end to end performance analysis of underwater optical wireless relaying and routing techniques under location uncertainty":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "opportunistic routing for opto acoustic internet of underwater things")
  Member "performance analysis of connectivity and localization in multi hop underwater optical wireless sensor networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "end to end performance analysis of underwater optical wireless relaying and routing techniques under location uncertainty")
  Member "communicating using spatial mode multiplexing potentials challenges and perspectives":
    also connected through other hyperedges:
      (none)
  Member "on distributed routing in underwater optical wireless sensor networks":
    also connected through other hyperedges:
      (none)
  Member "non orthogonal multiple access for visible light communications":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "optical rate splitting multiple access for visible light communications")
  Member "software defined optical networks sdons a comprehensive survey":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a survey of big data machine learning applications optimization in cloud data centers and networks")
  Member "performance characterization of relay assisted wireless optical cdma networks in turbulent underwater channel":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "opportunistic routing for opto acoustic internet of underwater things")
  Member "connectivity scaling laws in wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "spatial networks with wireless applications")

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)