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: "context aware sensor search selection and ranking model for internet of things middleware"
  Abstract: As we are moving towards the Internet of Things (IoT), the number of sensors deployed around the world is growing at a rapid pace. Market research has shown a significant growth of sensor deployments over the past decade and has predicted a substantial acceleration of the growth rate in the future. It is also evident that the increasing number of IoT middleware solutions are developed in both research and commercial environments. However, sensor search and selection remain a critical requirement and a challenge. In this paper, we present CASSARAM, a context-aware sensor search, selection, and ranking model for Internet of Things to address the research challenges of selecting sensors when large numbers of sensors with overlapping and sometimes redundant functionality are available. CASSARAM proposes the search and selection of sensors based on user priorities. CASSARAM considers a broad range of characteristics of sensors for search such as reliability, accuracy, battery life just to name a few. Our approach utilises both semantic querying and quantitative reasoning techniques. User priority based weighted Euclidean distance comparison in multidimensional space technique is used to index and rank sensors. Our objectives are to highlight the importance of sensor search in IoT paradigm, identify important characteristics of both sensors and data acquisition processes which help to select sensors, understand how semantic and statistical reasoning can be combined together to address this problem in an efficient manner. We developed a tool called CASSARA to evaluate the proposed model in terms of resource consumption and response time.

Connected through hyperedge HE-1 (induced by source paper "analytics for the internet of things a survey"):
  with members:
    - "middleware technologies for cloud of things a survey"
    - "big data computing and clouds"
    - "context aware computing for the internet of things a survey"
    - "graphx unifying data parallel and graph parallel analytics"
    - "querying over federated sparql endpoints a state of the art survey"
    - "the cloud adoption toolkit supporting cloud adoption decisions in the enterprise"

Connected through hyperedge HE-2 (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"
    - "mosden an internet of things middleware for resource constrained mobile devices"
    - "internet of things iot a vision architectural elements and future directions"

Connected through hyperedge HE-3 (induced by source paper "a knowledge based resource discovery for internet of things"):
  with members:
    - "context aware computing for the internet of things a survey"
    - "context aware sensor configuration model for internet of things"
    - "sensing as a service and big data"
    - "sensing as a service model for smart cities supported by internet of things"
    - "internet of things iot a vision architectural elements and future directions"
    - "ca4iot context awareness for internet of things"

Connected through hyperedge HE-4 (induced by source paper "multi criteria iot resource discovery a comparative analysis"):
  with members:
    - "a knowledge based resource discovery for internet of things"
    - "context aware computing for the internet of things a survey"
    - "internet of things iot a vision architectural elements and future directions"

Connected through hyperedge HE-5 (induced by source paper "searching for the internet of things on the web where it is and what it looks like"):
  with members:
    - "internet of things iot a vision architectural elements and future directions"

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

Connected through hyperedge HE-7 (induced by source paper "context aware computing for the internet of things a survey"):
  with members:
    - "data management for context aware computing"
    - "connecting mobile things to global sensor network middleware using system generated wrappers"
    - "sensing as a service and big data"
    - "dynamic configuration of sensors using mobile sensor hub in internet of things paradigm"
    - "ca4iot context awareness for internet of things"
    - "activities context and ubiquitous computing"

Connected through hyperedge HE-8 (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"
    - "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"
    - "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)