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: "application of wireless sensor networks for indoor temperature regulation"
  Abstract: Wireless sensor networks take a major part in our everyday lives by enhancing systems for home automation, healthcare, temperature control, energy consumption monitoring, and so forth. In this paper we focus on a system used for temperature regulation for residential, educational, industrial, and commercial premises, and so forth. We propose a framework for indoor temperature regulation and optimization using wireless sensor networks based on ZigBee platform. This paper considers architectural design of the system, as well as implementation guidelines. The proposed system favors methods that provide energy savings by reducing the amount of data transmissions through the network. Furthermore, the framework explores techniques for localization, such that the location of the nodes can be used by algorithms that regulate temperature settings.

Connected through hyperedge HE-1 (induced by source paper "big data in iot systems"):
  with members:
    - "decentralized computation offloading game for mobile cloud computing"
    - "unique sense smart computing prototype for industry 4 0 revolution with iot and bigdata implementation model"
    - "deep neural networks are easily fooled high confidence predictions for unrecognizable images"
    - "intriguing properties of neural networks"
    - "sensing as a service and big data"
    - "representation learning a review and new perspectives"
    - "internet of things iot a vision architectural elements and future directions"
    - "from machine learning to machine reasoning"

Connected through hyperedge HE-2 (induced by source paper "breaching the future understanding human challenges of autonomous systems for the home"):
  with members:
    - "i probe therefore i am designing a virtual journalist with human emotions"

Connected through hyperedge HE-3 (induced by source paper "a taxonomy of localization techniques based on multidimensional scaling"):
  with members:
    - "nodes localization in 3d wireless sensor networks based on multidimensional scaling algorithm"
    - "improved mds based algorithm for nodes localization in wireless sensor networks"
    - "wireless sensor networks localization methods multidimensional scaling vs semidefinite programming approach"
    - "cluster based mds algorithm for nodes localization in wireless sensor networks with irregular topologies"

Connected through hyperedge HE-4 (induced by source paper "nodes localization in 3d wireless sensor networks based on multidimensional scaling algorithm"):
  with members:
    - "improved mds based algorithm for nodes localization in wireless sensor networks"
    - "cluster based mds algorithm for nodes localization in wireless sensor networks with irregular topologies"

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)