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 "data collection and wireless communication in internet of things iot using economic analysis and pricing models a survey"):
  Abstract: This paper provides a state-of-the-art literature review on economic analysis and pricing models for data collection and wireless communication in Internet of Things (IoT). Wireless Sensor Networks (WSNs) are the main component of IoT which collect data from the environment and transmit the data to the sink nodes. For long service time and low maintenance cost, WSNs require adaptive and robust designs to address many issues, e.g., data collection, topology formation, packet forwarding, resource and power optimization, coverage optimization, efficient task allocation, and security. For these issues, sensors have to make optimal decisions from current capabilities and available strategies to achieve desirable goals. This paper reviews numerous applications of the economic and pricing models, known as intelligent rational decision-making methods, to develop adaptive algorithms and protocols for WSNs. Besides, we survey a variety of pricing strategies in providing incentives for phone users in crowdsensing applications to contribute their sensing data. Furthermore, we consider the use of some pricing models in Machine-to-Machine (M2M) communication. Finally, we highlight some important open research issues as well as future research directions of applying economic and pricing models to IoT.

Includes members:
  Member "economics of internet of things iot an information market approach":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "detecting cyberattacks in industrial control systems using online learning algorithms")
  Member "target tracking via crowdsourcing a mechanism design approach":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "mobile edge caching an optimal auction approach")
  Member "non stationary resource allocation policies for delay constrained video streaming application to video over internet of things enabled networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "authentication access control privacy threats and trust management towards securing fog computing environments a review")
  Member "from participatory sensing to mobile crowd sensing":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "trust evaluation mechanism for user recruitment in mobile crowd sensing in the internet of things")
  Member "machine learning in wireless sensor networks algorithms strategies and applications":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a survey on machine learning based performance improvement of wireless networks phy mac and network layer")
  Member "motivating smartphone collaboration in data acquisition and distributed computing":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a crowdsourcing framework for on device federated learning")
  Member "fairness and social welfare in incentivizing participatory sensing":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a double auction mechanism for mobile crowd sensing with data reuse")
  Member "optimal pricing and load sharing for energy saving in communications cooperation":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "joint computation offloading and resource allocation in cloud based wireless hetnets")

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.GT(Computer Science and Game Theory)