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: "dynamic configuration of sensors using mobile sensor hub in internet of things paradigm"
  Abstract: Internet of Things (IoT) envisions billions of sensors to be connected to the Internet. By deploying intelligent low-level computational devices such as mobile phones in-between sensors and cloud servers, we can reduce data communication with the use of intelligent processing such as fusing and filtering sensor data, which saves significant amount of energy. This is also ideal for real world sensor deployments where connecting sensors directly to a computer or to the Internet is not practical. Most of the leading IoT middleware solutions require manual and labour intensive tasks to be completed in order to connect a mobile phone to them. In this paper we present a mobile application called Mobile Sensor Hub (MoSHub). It allows variety of different sensors to be connected to a mobile phone and send the data to the cloud intelligently reducing network communication. Specifically, we explore techniques that allow MoSHub to be connected to cloud based IoT middleware solutions autonomously. For our experiments, we employed Global Sensor Network (GSN) middleware to implement and evaluate our approach. Such automated configuration reduces significant amount of manual labour that need to be performed by technical experts otherwise. We also evaluated different methods that can be used to automate the configuration process.

Connected through hyperedge HE-1 (induced by source paper "context aware computing for the internet of things a survey"):
  with members:
    - "data management for context aware computing"
    - "context aware sensor search selection and ranking model for internet of things middleware"
    - "connecting mobile things to global sensor network middleware using system generated wrappers"
    - "sensing as a service and big data"
    - "ca4iot context awareness for internet of things"
    - "activities context and ubiquitous computing"

Connected through hyperedge HE-2 (induced by source paper "sensor discovery and configuration framework for the internet of things paradigm"):
  with members:
    - "context aware computing for the internet of things a survey"
    - "context aware sensor search selection and ranking model for internet of things middleware"
    - "mosden an internet of things middleware for resource constrained mobile devices"
    - "sensing as a service model for smart cities supported by internet of things"
    - "capturing sensor data from mobile phones using global sensor network middleware"

Connected through hyperedge HE-3 (induced by source paper "context aware dynamic discovery and configuration of things in smart environments"):
  with members:
    - "context aware computing for the internet of things a survey"
    - "sensor search techniques for sensing as a service architecture for the internet of things"
    - "context aware sensor search selection and ranking model for internet of things middleware"
    - "mosden an internet of things middleware for resource constrained mobile devices"
    - "sensing as a service model for smart cities supported by internet of things"
    - "capturing sensor data from mobile phones using global sensor network middleware"

Connected through hyperedge HE-4 (induced by source paper "mosden an internet of things middleware for resource constrained mobile devices"):
  with members:
    - "context aware computing for the internet of things a survey"
    - "sensing as a service and big data"
    - "sensing as a service model for smart cities supported by internet of things"
    - "capturing sensor data from mobile phones using global sensor network middleware"

Connected through hyperedge HE-5 (induced by source paper "sensing as a service model for smart cities supported by internet of things"):
  with members:
    - "context aware computing for the internet of things a survey"
    - "context aware sensor search selection and ranking model for internet of things middleware"
    - "sensing as a service and big data"
    - "ca4iot context awareness for internet of things"

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)