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: "optimal energy and data routing in networks with energy cooperation"
  Abstract: We consider the delay minimization problem in an energy harvesting communication network with energy cooperation. In this network, nodes harvest energy from nature to sustain the power needed for data transmission, and may transfer a portion of their harvested energies to neighboring nodes through energy cooperation. For fixed data and energy routing topologies, we determine the optimum data rates, transmit powers, and energy transfers, subject to flow and energy conservation constraints, to minimize the network delay. We start with a simplified problem where data flows are fixed and optimize energy management at each node for the case of a single energy harvest per node. This is tantamount to distributing each node’s available energy over its outgoing data links and energy transfers to neighboring nodes. For this case, with no energy cooperation, we show that each node should allocate more power to links with more noise and/or more data flow. In addition, when there is energy cooperation, our numerical results indicate that the energy is routed from nodes with lower data loads to nodes with higher data loads. We then extend this setting to the case of multiple energy harvests per node over time. In this case, we optimize each node’s energy management over its outgoing data links and its energy transfers to neighboring nodes, over multiple time slots. For this case, with no energy cooperation, we show that, for any given node, the sum of powers on the outgoing links over time is equal to the single-link optimal power over time. Finally, we consider the problem of joint flow control and energy management for the entire network. We determine the necessary conditions for joint optimality of a power control, energy transfer, and routing policy. We provide an iterative algorithm that updates the data flows, energy flows, and power distribution over outgoing data links sequentially. We show that this algorithm converges to a Pareto-optimal operating point.

Connected through hyperedge HE-1 (induced by source paper "an energy efficient controller for wirelessly powered communication networks"):
  with members:
    - "swipt using hybrid arq over time varying channels"
    - "optimal and near optimal policies for wireless power transfer in energy limited and power limited scenarios"
    - "joint sum rate and error probability optimization finite blocklength analysis"
    - "joint transfer of energy and information in a two hop relay channel"
    - "battery powered devices in wpcns"
    - "wireless powered relaying with finite block length codes"
    - "on wireless energy and information transfer in relay networks"
    - "communications and signals design for wireless power transmission"

Connected through hyperedge HE-2 (induced by source paper "energy efficient secrecy in wireless networks based on random jamming"):
  with members:
    - "energy efficient routing in wireless networks in the presence of jamming"
    - "jamming based on an ephemeral key to obtain everlasting security in wireless environments"
    - "secure degrees of freedom of one hop wireless networks"
    - "scaling laws for secrecy capacity in cooperative wireless networks"
    - "optimal relay selection for physical layer security in cooperative wireless networks"
    - "efficient wireless security through jamming coding and routing"
    - "everlasting secrecy by exploiting non idealities of the eavesdropper s receiver"
    - "on secrecy capacity scaling in wireless networks"

Connected through hyperedge HE-3 (induced by source paper "battery powered devices in wpcns"):
  with members:
    - "wireless power meets energy harvesting a joint energy allocation approach in ofdm based system"
    - "decentralized transmission policies for energy harvesting devices"
    - "on the effects of battery imperfections in an energy harvesting device"
    - "achievable secrecy rates of an energy harvesting device"
    - "wireless powered communication opportunities and challenges"
    - "optimal adaptive random multiaccess in energy harvesting wireless sensor networks"
    - "energy harvesting wireless communications a review of recent advances"
    - "energy harvesting networks with energy cooperation procrastinating policies"

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.IT(Information Theory)