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: "wirelessly powered urban crowd sensing over wearables trading energy for data"
  Abstract: In this article, we put forward the mobile crowd sensing paradigm based on ubiquitous wearable devices carried by human users. The key challenge for mass user involvement into prospective urban crowd sending applications, such as monitoring of large-scale phenomena (e.g., traffic congestion and air pollution levels), is the appropriate sources of motivation. We thus advocate for the use of wireless power transfer provided in exchange for sensed data to incentivize the owners of wearables to participate in collaborative data collection. Based on this construction, we develop the novel concept of wirelessly powered crowd sensing and offer the corresponding network architecture considerations together with a systematic review of wireless charging techniques to implement it. Further, we contribute a detailed system-level feasibility study that reports on the achievable performance levels for the envisioned setup. Finally, the underlying energy-data trading mechanisms are discussed, and the work is concluded with outlining open research opportunities.

Connected through hyperedge HE-1 (induced by source paper "competitive data trading in wireless powered internet of things iot crowdsensing systems with blockchain"):
  with members:
    - "a survey on consensus mechanisms and mining strategy management in blockchain networks"
    - "smart contract templates foundations design landscape and research directions"

Connected through hyperedge HE-2 (induced by source paper "wirelessly powered crowd sensing joint power transfer sensing compression and transmission"):
  with members:
    - "privacy management and optimal pricing in people centric sensing"
    - "wirelessly powered backscatter communication networks modeling coverage and capacity"
    - "communications and signals design for wireless power transmission"
    - "ambient rf energy harvesting in ultra dense small cell networks performance and trade offs"
    - "resource allocation in wireless powered relay networks a bargaining game approach"
    - "simultaneous wireless information and power transfer under different csi acquisition schemes"
    - "energy efficient mobile cloud computing powered by wireless energy transfer"
    - "wireless networks with rf energy harvesting a contemporary survey"

Connected through hyperedge HE-3 (induced by source paper "optimizing wirelessly powered crowd sensing trading energy for data"):
  with members:
    - "wireless charging technologies fundamentals standards and network applications"
    - "ambient rf energy harvesting in ultra dense small cell networks performance and trade offs"
    - "resource allocation in wireless powered relay networks a bargaining game approach"
    - "energy efficient mobile cloud computing powered by wireless energy transfer"
    - "interactive joint transfer of energy and information"
    - "opportunistic wireless energy harvesting in cognitive radio networks"
    - "mimo broadcasting for simultaneous wireless information and power transfer"

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)