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: "energy optimal transmission scheduling in wireless sensor networks"
  Abstract: One of the main issues in the design of sensor networks is energy efficient communication of time-critical data. Energy wastage can be caused by failed packet transmission attempts at each node due to channel dynamics and interference. Therefore transmission control techniques that are unaware of the channel dynamics can lead to suboptimal channel use patterns. In this paper we propose a transmission controller that utilizes different "grades" of channel side information to schedule packet transmissions in an optimal way, while meeting a deadline constraint for all packets waiting in the transmission queue. The wireless channel is modeled as a finite-state Markov channel (FSMC). We are specifically interested in the case where the transmitter has low-grade channel side information that can be obtained based solely on the ACK/NAK sequence for the previous transmissions. Our scheduler is readily implementable and it is based on the dynamic programming solution to the finite-horizon transmission control problem. We also calculate the information theoretic capacity of the finite state Markov channel with feedback containing different grades of channel side information including that, obtained through the ACK/NAK sequence. We illustrate that our scheduler achieves a given throughput at a power level that is fairly close to the fundamental limit achievable over the channel.

Connected through hyperedge HE-1 (induced by source paper "energy management for energy harvesting wireless sensors with adaptive retransmission"):
  with members:
    - "outage minimization for a fading wireless link with energy harvesting transmitter and receiver"
    - "long term throughput and approximate capacity of transmitter receiver energy harvesting channel with fading"
    - "throughput optimal policies for energy harvesting wireless transmitters with non ideal circuit power"
    - "transmission with energy harvesting nodes in fading wireless channels optimal policies"
    - "towards a communication theoretic understanding of system level power consumption"
    - "optimal packet scheduling in an energy harvesting communication system"

Connected through hyperedge HE-2 (induced by source paper "online energy efficient packet scheduling for a common deadline with and without energy harvesting"):
  with members:
    - "online independent set beyond the worst case secretaries prophets and periods"
    - "optimal power allocation for energy harvesting and power grid coexisting wireless communication systems"
    - "delay aware bs discontinuous transmission control and user scheduling for energy harvesting downlink coordinated mimo systems"
    - "competitive ratio analysis of online algorithms to minimize data transmission time in energy harvesting communication system"
    - "transmission with energy harvesting nodes in fading wireless channels optimal policies"
    - "optimal packet scheduling on an energy harvesting broadcast link"
    - "optimal packet scheduling in an energy harvesting communication system"
    - "asymptotically optimal policies for hard deadline scheduling over fading 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)