human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "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.

Includes members:
  Member "context aware computing for the internet of things a survey":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "urgency of information for context aware timely status updates in remote control systems")
  Member "context aware sensor search selection and ranking model for internet of things middleware":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "analytics for the internet of things a survey")
  Member "semantic driven configuration of internet of things middleware":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "composable industrial internet applications for tiered architectures")
  Member "connecting mobile things to global sensor network middleware using system generated wrappers":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "fog computing for sustainable smart cities a survey")
  Member "sensing as a service and big data":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "big data in iot systems")
  Member "sensing as a service model for smart cities supported by internet of things":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "fog computing applications taxonomy and requirements")
  Member "ca4iot context awareness for internet of things":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a knowledge based resource discovery for internet of things")
  Member "capturing sensor data from mobile phones using global sensor network middleware":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "energy efficient location and activity aware on demand mobile distributed sensing platform for sensing as a service in iot clouds")

Question: Please tell me which class the source paper 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)