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: "capturing sensor data from mobile phones using global sensor network middleware"
  Abstract: Mobile phones play increasingly bigger role in our everyday lives. Today, most smart phones comprise a wide variety of sensors which can sense the physical environment. The Internet of Things vision encompasses participatory sensing which is enabled using mobile phones based sensing and reasoning. In this research, we propose and demonstrate our DAM4GSN architecture to capture sensor data using sensors built into the mobile phones. Specifically, we combine an open source sensor data stream processing engine called `Global Sensor Network (GSN)' with the Android platform to capture sensor data. To achieve this goal, we proposed and developed a prototype application that can be installed on Android devices as well as a AndroidWrapper as a GSN middleware component. The process and the difficulty of manually connecting sensor devices to sensor data processing middleware systems are examined. We evaluated the performance of the system based on power consumption of the mobile client.

Connected through hyperedge HE-1 (induced by source paper "energy efficient location and activity aware on demand mobile distributed sensing platform for sensing as a service in iot clouds"):
  with members:
    - "the emerging internet of things marketplace from an industrial perspective a survey"
    - "a survey on internet of things from industrial market perspective"
    - "context aware dynamic discovery and configuration of things in smart environments"
    - "semantic driven configuration of internet of things middleware"
    - "efficient opportunistic sensing using mobile collaborative platform mosden"
    - "mosden an internet of things middleware for resource constrained mobile devices"
    - "sensing as a service and big data"
    - "sensing as a service model for smart cities supported by internet of things"

Connected through hyperedge HE-2 (induced by source paper "sensor search techniques for sensing as a service architecture for the 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"
    - "semantic driven configuration of internet of things middleware"
    - "connecting mobile things to global sensor network middleware using system generated wrappers"
    - "sensing as a service and big data"
    - "sensing as a service model for smart cities supported by internet of things"
    - "ca4iot context awareness for internet of things"

Connected through hyperedge HE-3 (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"
    - "dynamic configuration of sensors using mobile sensor hub in internet of things paradigm"
    - "sensing as a service model for smart cities supported by internet of things"

Connected through hyperedge HE-4 (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"
    - "dynamic configuration of sensors using mobile sensor hub in internet of things paradigm"
    - "sensing as a service model for smart cities supported by internet of things"

Connected through hyperedge HE-5 (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"
    - "dynamic configuration of sensors using mobile sensor hub in internet of things paradigm"
    - "sensing as a service model for smart cities supported by internet of things"

Connected through hyperedge HE-6 (induced by source paper "dynamic configuration of sensors using mobile sensor hub in internet of things paradigm"):
  with members:
    - "connecting mobile things to global sensor network middleware using system generated wrappers"
    - "sensing as a service and big data"

Connected through hyperedge HE-7 (induced by source paper "ca4iot context awareness for internet of things"):
  with members:
    - "connecting mobile things to global sensor network middleware using system generated wrappers"

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)