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: "mosden an internet of things middleware for resource constrained mobile devices"
  Abstract: The Internet of Things (IoT) is part of Future Internet and will comprise many billions of Internet Connected Objects (ICO) or `things' where things can sense, communicate, compute and potentially actuate as well as have intelligence, multi-modal interfaces, physical/ virtual identities and attributes. Collecting data from these objects is an important task as it allows software systems to understand the environment better. Many different hardware devices may involve in the process of collecting and uploading sensor data to the cloud where complex processing can occur. Further, we cannot expect all these objects to be connected to the computers due to technical and economical reasons. Therefore, we should be able to utilize resource constrained devices to collect data from these ICOs. On the other hand, it is critical to process the collected sensor data before sending them to the cloud to make sure the sustainability of the infrastructure due to energy constraints. This requires to move the sensor data processing tasks towards the resource constrained computational devices (e.g. mobile phones). In this paper, we propose Mobile Sensor Data Processing Engine (MOSDEN), an plug-in-based IoT middleware for mobile devices, that allows to collect and process sensor data without programming efforts. Our architecture also supports sensing as a service model. We present the results of the evaluations that demonstrate its suitability towards real world deployments. Our proposed middleware is built on Android platform.

Connected through hyperedge HE-1 (induced by source paper "middleware technologies for cloud of things a survey"):
  with members:
    - "energy efficient location and activity aware on demand mobile distributed sensing platform for sensing as a service in iot clouds"
    - "context aware computing for the internet of things a survey"
    - "context aware sensor search selection and ranking model for internet of things middleware"
    - "internet of things iot a vision architectural elements and future directions"

Connected through hyperedge HE-2 (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"
    - "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-3 (induced by source paper "city data fusion sensor data fusion in the internet of things"):
  with members:
    - "scaling of city attractiveness for foreign visitors through big data of human economical and social media activity"
    - "a survey on internet of things from industrial market perspective"
    - "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"
    - "ca4iot context awareness for internet of things"
    - "sase complex event processing over streams"

Connected through hyperedge HE-4 (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"
    - "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"
    - "capturing sensor data from mobile phones using global sensor network middleware"

Connected through hyperedge HE-5 (induced by source paper "a survey on internet of things from industrial market perspective"):
  with members:
    - "context aware computing for the internet of things a survey"
    - "mobile multimedia recommendation in smart communities a survey"
    - "sensing as a service and big data"
    - "sensing as a service model for smart cities supported by internet of things"

Connected through hyperedge HE-6 (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"
    - "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"
    - "capturing sensor data from mobile phones using global sensor network middleware"

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)