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: "estimation diversity and energy efficiency in distributed sensing"
  Abstract: Distributed estimation based on measurements from multiple wireless sensors is investigated. It is assumed that a group of sensors observe the same quantity in independent additive observation noises with possibly different variances. The observations are transmitted using amplify-and-forward (analog) transmissions over nonideal fading wireless channels from the sensors to a fusion center, where they are combined to generate an estimate of the observed quantity. Assuming that the best linear unbiased estimator (BLUE) is used by the fusion center, the equal-power transmission strategy is first discussed, where the system performance is analyzed by introducing the concept of estimation outage and estimation diversity, and it is shown that there is an achievable diversity gain on the order of the number of sensors. The optimal power allocation strategies are then considered for two cases: minimum distortion under power constraints; and minimum power under distortion constraints. In the first case, it is shown that by turning off bad sensors, i.e., sensors with bad channels and bad observation quality, adaptive power gain can be achieved without sacrificing diversity gain. Here, the adaptive power gain is similar to the array gain achieved in multiple-input single-output (MISO) multiantenna systems when channel conditions are known to the transmitter. In the second case, the sum power is minimized under zero-outage estimation distortion constraint, and some related energy efficiency issues in sensor networks are discussed.

Connected through hyperedge HE-1 (induced by source paper "distributed sensing with orthogonal multiple access to code or not to code"):
  with members:
    - "wireless power transfer for distributed estimation in sensor networks"
    - "a survey on non orthogonal multiple access for 5g networks research challenges and future trends"
    - "optimized sensor collaboration for estimation of temporally correlated parameters"
    - "delay limited source and channel coding of quasi stationary sources over block fading channels design and scaling laws"

Connected through hyperedge HE-2 (induced by source paper "reconstruction of correlated sources with energy harvesting constraints in delay constrained and delay tolerant communication scenarios"):
  with members:
    - "energy harvesting wireless communications a review of recent advances"
    - "a general utility optimization framework for energy harvesting based wireless communications"
    - "dynamic compression transmission for energy harvesting multihop networks with correlated sources"
    - "optimal power allocation for energy harvesting and power grid coexisting wireless communication systems"
    - "energy neutral source channel coding with battery and memory size constraints"
    - "throughput optimal policies for energy harvesting wireless transmitters with non ideal circuit power"
    - "energy management policies for energy neutral source channel coding"
    - "a general framework for the optimization of energy harvesting communication systems with battery imperfections"

Connected through hyperedge HE-3 (induced by source paper "wireless power transfer for distributed estimation in sensor networks"):
  with members:
    - "source channel coding under energy delay and buffer constraints"
    - "secrecy wireless information and power transfer with miso beamforming"
    - "massive mimo for wireless sensing with a coherent multiple access channel"
    - "multiuser miso beamforming for simultaneous wireless information and power transfer"
    - "joint transmit beamforming and receive power splitting for miso swipt systems"
    - "wireless information and energy transfer in multi antenna interference channel"
    - "optimal power allocation for parameter tracking in a distributed amplify and forward sensor network"
    - "throughput maximization in wireless powered communication networks"

Connected through hyperedge HE-4 (induced by source paper "optimal power control for transmitting correlated sources with energy harvesting constraints"):
  with members:
    - "optimized sensor collaboration for estimation of temporally correlated parameters"
    - "online learning schemes for power allocation in energy harvesting communications"
    - "energy harvesting wireless communications a review of recent advances"
    - "near optimal energy control and approximate capacity of energy harvesting communication"
    - "the binary energy harvesting channel with a unit sized battery"
    - "on online energy harvesting in multiple access communication systems"
    - "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-5 (induced by source paper "rate distributed spatial filtering based noise reduction in wireless acoustic sensor networks"):
  with members:
    - "relaxed binaural lcmv beamforming"
    - "microphone subset selection for mvdr beamformer based noise reduction"

Connected through hyperedge HE-6 (induced by source paper "optimized sensor collaboration for estimation of temporally correlated parameters"):
  with members:
    - "network topology adaptation and interference coordination for energy saving in heterogeneous networks"
    - "large scale convex optimization for dense wireless cooperative networks"
    - "optimal power allocation for distributed blue estimation with linear spatial collaboration"
    - "distributed estimation and detection with bounded transmissions over gaussian multiple access channels"
    - "controlled collaboration for linear coherent estimation in wireless sensor networks"
    - "optimal identical binary quantizer design for distributed estimation"
    - "on linear coherent estimation with spatial collaboration"
    - "distributed detection over fading macs with multiple antennas at the fusion center"

Connected through hyperedge HE-7 (induced by source paper "a coalitional game for distributed inference in sensor networks with dependent observations"):
  with members:
    - "a cooperative bayesian nonparametric framework for primary user activity monitoring in cognitive radio networks"
    - "robust distributed maximum likelihood estimation with dependent quantized data"
    - "coalitional games for distributed collaborative spectrum sensing in cognitive radio networks"
    - "a generic approach to coalition formation"
    - "stable partitions in coalitional games"

Connected through hyperedge HE-8 (induced by source paper "distributed vector estimation for power and bandwidth constrained wireless sensor networks"):
  with members:
    - "on quantizer design for distributed bayesian estimation in sensor networks"
    - "distributed estimation of a parametric field algorithms and performance analysis"
    - "the effect of correlated observations on the performance of distributed estimation"
    - "optimal identical binary quantizer design for distributed estimation"

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)