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: "uncoordinated access schemes for the iot approaches regulations and performance"
  Abstract: Internet of Things devices communicate using a variety of protocols, differing in many aspects, with the channel access method being one of the most important. Most of the transmission technologies explicitly designed for IoT and machine-to-machine communication use either an ALOHA-based channel access or some type of Listen Before Talk strategy, based on carrier sensing. In this article, we provide a comparative overview of the uncoordinated channel access methods for Internet of Things technologies, namely ALOHA-based and Listen Before Talk schemes, in relation to the ETSI and FCC regulatory frameworks. Furthermore, we provide a performance comparison of these access schemes, in terms of both successful transmissions and energy efficiency, in a typical Internet of Things deployment. Results show that Listen Before Talk is effective in reducing inter-node interference even for long-range transmissions, although the energy efficiency can be lower than that provided by ALOHA methods. Furthermore, the adoption of rate adaptation schemes lowers the energy consumption while improving the fairness among nodes at different distances from the receiver. Coexistence issues are also investigated, showing that in massive deployments Listen Before Talk is severely affected by the presence of ALOHA devices in the same area.

Connected through hyperedge HE-1 (induced by source paper "a thorough study of lorawan performance under different parameter settings"):
  with members:
    - "employing p csma on a lora network simulator"
    - "does bidirectional traffic do more harm than good in lorawan based lpwa networks"
    - "analysis of latency and mac layer performance for class a lorawan"
    - "scalability analysis of large scale lorawan networks in ns 3"
    - "m2m massive access in lte rach performance evaluation in a smart city scenario"
    - "internet of things applications and challenges in technology and standardization"

Connected through hyperedge HE-2 (induced by source paper "unlicensed spectrum sharing for massive internet of things communications"):
  with members:
    - "spectrum sharing for internet of things a survey"
    - "extending lte into the unlicensed spectrum technical analysis of the proposed variants"
    - "low power wide area networks an overview"

Connected through hyperedge HE-3 (induced by source paper "fast uplink grant for machine type communications challenges and opportunities"):
  with members:
    - "a directed information learning framework for event driven m2m traffic prediction"
    - "artificial neural networks based machine learning for wireless networks a tutorial"

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)