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: "radio frequency energy harvesting and management for wireless sensor networks"
  Abstract: Radio Frequency (RF) Energy Harvesting holds a promising future for generating a small amount of electrical power to drive partial circuits in wirelessly communicating electronics devices. Reducing power consumption has become a major challenge in wireless sensor networks. As a vital factor affecting system cost and lifetime, energy consumption in wireless sensor networks is an emerging and active research area. This chapter presents a practical approach for RF Energy harvesting and management of the harvested and available energy for wireless sensor networks using the Improved Energy Efficient Ant Based Routing Algorithm (IEEABR) as our proposed algorithm. The chapter looks at measurement of the RF power density, calculation of the received power, storage of the harvested power, and management of the power in wireless sensor networks. The routing uses IEEABR technique for energy management. Practical and real-time implementations of the RF Energy using Powercast harvesters and simulations using the energy model of our Libelium Waspmote to verify the approach were performed. The chapter concludes with performance analysis of the harvested energy, comparison of IEEABR and other traditional energy management techniques, while also looking at open research areas of energy harvesting and management for wireless sensor networks.

Connected through hyperedge HE-1 (induced by source paper "optimal spectrum sensing policy in rf powered cognitive radio networks"):
  with members:
    - "wireless charging technologies fundamentals standards and network applications"
    - "wireless networks with rf energy harvesting a contemporary survey"
    - "opportunistic wireless energy harvesting in cognitive radio networks"
    - "throughput optimal policies for energy harvesting wireless transmitters with non ideal circuit power"

Connected through hyperedge HE-2 (induced by source paper "outage analysis in two way communication with rf energy harvesting relay and co channel interference"):
  with members:
    - "rf based energy harvesting in decode and forward relaying systems ergodic and outage capacities"
    - "wireless powered communication networks an overview"
    - "simultaneous wireless information and power transfer with co channel interference"
    - "simultaneous wireless information and power transfer in modern communication systems"
    - "relaying protocols for wireless energy harvesting and information processing"
    - "wireless information and power transfer in two way amplify and forward relaying channels"
    - "wireless information and power transfer architecture design and rate energy tradeoff"

Connected through hyperedge HE-3 (induced by source paper "spatial throughput maximization of wireless powered communication networks"):
  with members:
    - "on spatial capacity of wireless ad hoc networks with threshold based scheduling"
    - "spatial throughput of mobile ad hoc networks powered by energy harvesting"
    - "throughput maximization in wireless powered communication networks"
    - "opportunistic wireless energy harvesting in cognitive radio networks"
    - "fundamentals of heterogeneous cellular networks with energy harvesting"
    - "downlink rate distribution in heterogeneous cellular networks under generalized cell selection"
    - "throughput optimal policies for energy harvesting wireless transmitters with non ideal circuit power"
    - "throughput maximization for an energy harvesting communication system with processing cost"

Connected through hyperedge HE-4 (induced by source paper "dynamic spectrum access in cognitive radio networks with rf energy harvesting"):
  with members:
    - "opportunistic wireless energy harvesting in cognitive radio networks"
    - "green cellular networks a survey some research issues and challenges"
    - "mimo broadcasting for simultaneous wireless information and power transfer"

Connected through hyperedge HE-5 (induced by source paper "opportunistic wireless energy harvesting in cognitive radio networks"):
  with members:
    - "spatial throughput of mobile ad hoc networks powered by energy harvesting"
    - "cognitive energy harvesting and transmission from a network perspective"
    - "wireless information transfer with opportunistic energy harvesting"
    - "wireless information and power transfer architecture design and rate energy tradeoff"
    - "transmission capacity of wireless networks"
    - "enabling wireless power transfer in cellular networks architecture modeling and deployment"
    - "optimal energy allocation for wireless communications with energy harvesting constraints"
    - "transmission with energy harvesting nodes in fading wireless channels optimal policies"

Connected through hyperedge HE-6 (induced by source paper "throughput maximization in wireless powered communication networks"):
  with members:
    - "opportunistic wireless energy harvesting in cognitive radio networks"
    - "wireless information transfer with opportunistic energy harvesting"
    - "wireless information and power transfer architecture design and rate energy tradeoff"
    - "on the transfer of information and energy in multi user systems"
    - "enabling wireless power transfer in cellular networks architecture modeling and deployment"
    - "mimo broadcasting for simultaneous wireless information and power transfer"
    - "on ergodic sum capacity of fading cognitive multiple access and broadcast channels"

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)