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: "sensor search techniques for sensing as a service architecture for the internet of things"
  Abstract: The Internet of Things (IoT) is part of the Internet of the future and will comprise billions of intelligent communicating “things” or Internet Connected Objects (ICOs) that will have sensing, actuating, and data processing capabilities. Each ICO will have one or more embedded sensors that will capture potentially enormous amounts of data. The sensors and related data streams can be clustered physically or virtually, which raises the challenge of searching and selecting the right sensors for a query in an efficient and effective way. This paper proposes a context-aware sensor search, selection, and ranking model, called CASSARAM, to address the challenge of efficiently selecting a subset of relevant sensors out of a large set of sensors with similar functionality and capabilities. CASSARAM considers user preferences and a broad range of sensor characteristics such as reliability, accuracy, location, battery life, and many more. This paper highlights the importance of sensor search, selection and ranking for the IoT, identifies important characteristics of both sensors and data capture processes, and discusses how semantic and quantitative reasoning can be combined together. This paper also addresses challenges such as efficient distributed sensor search and relational-expression based filtering. CASSARAM testing and performance evaluation results are presented and discussed.

Connected through hyperedge HE-1 (induced by source paper "a decentralized iot data marketplace"):
  with members:
    - "idmob iot data marketplace on blockchain"
    - "mind my value a decentralized infrastructure for fair and trusted iot data trading"
    - "sensing as a service model for smart cities supported by internet of things"

Connected through hyperedge HE-2 (induced by source paper "capturing the contributions of the semantic web to the iot a unifying vision"):
  with members:
    - "towards analytics aware ontology based access to static and streaming data extended version"
    - "semantic gateway as a service architecture for iot interoperability"
    - "cognitive internet of things a new paradigm beyond connection"
    - "context aware computing for the internet of things a survey"

Connected through hyperedge HE-3 (induced by source paper "the effects of relative importance of user constraints in cloud of things resource discovery a case study"):
  with members:
    - "a distributed sensor data search platform for internet of things environments"
    - "multi criteria iot resource discovery a comparative analysis"
    - "context aware computing for the internet of things a survey"

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"
    - "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"
    - "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)