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: "energy efficient mobile edge computing in dense cellular networks"
  Abstract: Merging Mobile Edge Computing (MEC), which is an emerging paradigm to meet the increasing computation demands from mobile devices, with the dense deployment of Base Stations (BSs), is foreseen as a key step towards the next generation mobile networks. However, new challenges arise for designing energy efficient networks since radio access resources and computing resources of BSs have to be jointly managed, and yet they are complexly coupled with traffic in both spatial and temporal domains. In this paper, we address the challenge of incorporating MEC into dense cellular networks, and propose an efficient online algorithm, called ENGINE (ENErgy constrained offloadINg and slEeping) which makes joint computation offloading and BS sleeping decisions in order to maximize the quality of service while keeping the energy consumption low. Our algorithm leverages Lyapunov optimization technique, works online and achieves a close-to-optimal performance without using future information. Our simulation results show that our algorithm can effectively reduce energy consumption without sacrificing the user quality of service.

Connected through hyperedge HE-1 (induced by source paper "edge computing enabled smart cities a comprehensive survey"):
  with members:
    - "a federated capability based access control mechanism for internet of things iots"
    - "cache enabled hetnets with millimeter wave small cells"
    - "energy efficient joint offloading and wireless resource allocation strategy in multi mec server systems"
    - "mobile edge computing fog et al a survey and analysis of security threats and challenges"
    - "a game theoretic approach to multi objective resource sharing and allocation in mobile edge"
    - "air ground integrated vehicular network slicing with content pushing and caching"
    - "a taxonomy for management and optimization of multiple resources in edge computing"
    - "toward low latency and ultra reliable virtual reality"

Connected through hyperedge HE-2 (induced by source paper "stochastic control of computation offloading to a helper with a dynamically loaded cpu"):
  with members:
    - "exploiting massive d2d collaboration for energy efficient mobile edge computing"
    - "a survey on mobile edge computing the communication perspective"
    - "wireless networks for mobile edge computing spatial modeling and latency analysis extended version"
    - "exploiting non causal cpu state information for energy efficient mobile cooperative computing"
    - "joint computation and communication cooperation for mobile edge computing"
    - "delay optimal computation task scheduling for mobile edge computing systems"
    - "less is more participation incentives in d2d enhanced mobile edge computing under infectious ddos attacks"
    - "dynamic computation offloading for mobile edge computing with energy harvesting devices"

Connected through hyperedge HE-3 (induced by source paper "joint service caching and task offloading for mobile edge computing in dense networks"):
  with members:
    - "online learning for offloading and autoscaling in energy harvesting mobile edge computing"
    - "a survey on mobile edge computing the communication perspective"
    - "emm energy aware mobility management for mobile edge computing in ultra dense networks"
    - "socially trusted collaborative edge computing in ultra dense networks"
    - "context aware proactive content caching with service differentiation in wireless networks"
    - "dynamic service placement for mobile micro clouds with predicted future costs"
    - "delay optimal computation task scheduling for mobile edge computing systems"
    - "5g ultra dense cellular networks"

Connected through hyperedge HE-4 (induced by source paper "energy efficient offloading in mobile edge computing with edge cloud collaboration"):
  with members:
    - "brains joint bandwidth relay allocation in multihoming cooperative d2d networks"
    - "quick qos guaranteed efficient cloudlet placement in wireless metropolitan area networks"
    - "tarco two stage auction for d2d relay aided computation resource allocation in hetnet"
    - "primary channel gain estimation for spectrum sharing in cognitive radio networks"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"

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)