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 strategies for communication and remote estimation with an energy harvesting sensor"
  Abstract: We consider a remote estimation problem with an energy harvesting sensor and a remote estimator. The sensor observes the state of a discrete-time source which may be a finite state Markov chain or a multi-dimensional linear Gaussian system. It harvests energy from its environment (say, for example, through a solar cell) and uses this energy for the purpose of communicating with the estimator. Due to the randomness of energy available for communication, the sensor may not be able to communicate all the time. The sensor may also want to save its energy for future communications. The estimator relies on messages communicated by the sensor to produce real-time estimates of the source state. We consider the problem of finding a communication scheduling strategy for the sensor and an estimation strategy for the estimator that jointly minimize an expected sum of communication and distortion costs over a finite time horizon. Our goal of joint optimization leads to a decentralized decision-making problem. By viewing the problem from the estimator's perspective, we obtain a dynamic programming characterization for the decentralized decision-making problem that involves optimization over functions. Under some symmetry assumptions on the source statistics and the distortion metric, we show that an optimal communication strategy is described by easily computable thresholds and that the optimal estimate is a simple function of the most recently received sensor observation.

Connected through hyperedge HE-1 (induced by source paper "optimal causal rate constrained sampling for a class of continuous markov processes"):
  with members:
    - "sampling for remote estimation through queues age of information and beyond"
    - "optimal causal rate constrained sampling of the wiener process"
    - "remote estimation of the wiener process over a channel with random delay"
    - "event triggered stabilization of linear systems under bounded bit rates"
    - "paging and registration in cellular networks jointly optimal policies and an iterative algorithm"

Connected through hyperedge HE-2 (induced by source paper "sampling for remote estimation through queues age of information and beyond"):
  with members:
    - "age optimal updates of multiple information flows"
    - "tutorial on uav a blue sky view on wireless communication"
    - "information aging through queues a mutual information perspective"
    - "remote estimation over a packet drop channel with markovian state"
    - "a dynamic jamming game for real time status updates"
    - "joint status sampling and updating for minimizing age of information in the internet of things"
    - "massive uav to ground communication and its stable movement control a mean field approach"
    - "quantifying link stability in ad hoc wireless networks subject to ornstein uhlenbeck mobility"

Connected through hyperedge HE-3 (induced by source paper "optimal causal rate constrained sampling of the wiener process"):
  with members:
    - "remote estimation of the wiener process over a channel with random delay"
    - "event triggered stabilization of linear systems under bounded bit rates"
    - "infinite horizon optimal transmission power control for remote state estimation over fading channels"
    - "the distortion rate function of sampled wiener processes"
    - "rate cost tradeoffs in control"
    - "optimal estimation via nonanticipative rate distortion function and applications to time varying gauss markov processes"
    - "event triggered control under time varying rates and channel blackouts"
    - "optimal estimation with limited measurements and noisy communication"

Connected through hyperedge HE-4 (induced by source paper "worst case guarantees for remote estimation of an uncertain source"):
  with members:
    - "a nonstochastic information theory for communication and state estimation"
    - "decentralized stochastic control with partial history sharing a common information approach"

Connected through hyperedge HE-5 (induced by source paper "optimal scheduling of multiple sensors over lossy and bandwidth limited channels"):
  with members:
    - "opportunistic scheduling as restless bandits"
    - "attack allocation on remote state estimation in multi systems structural results and asymptotic solution"
    - "infinite horizon optimal transmission power control for remote state estimation over fading channels"
    - "optimal dynamic multicast scheduling for cache enabled content centric wireless networks"
    - "sensor scheduling in variance based event triggered estimation with packet drops"
    - "stochastic event triggered sensor scheduling for remote state estimation"

Connected through hyperedge HE-6 (induced by source paper "remote estimation over a packet drop channel with markovian state"):
  with members:
    - "infinite horizon optimal transmission power control for remote state estimation over fading channels"
    - "on remote estimation with multiple communication channels"
    - "decentralized stochastic control with partial history sharing a common information approach"

Connected through hyperedge HE-7 (induced by source paper "sampling of the wiener process for remote estimation over a channel with random delay"):
  with members:
    - "the dispersion of the gauss markov source"
    - "remote estimation over a packet drop channel with markovian state"
    - "scheduling status updates to minimize age of information with an energy harvesting sensor"
    - "age optimal information updates in multihop networks"
    - "remote estimation of the wiener process over a channel with random delay"
    - "the distortion rate function of sampled wiener processes"
    - "update or wait how to keep your data fresh"
    - "optimizing data freshness throughput and delay in multi server information update systems"

Connected through hyperedge HE-8 (induced by source paper "remote estimation of the wiener process over a channel with random delay"):
  with members:
    - "scheduling status updates to minimize age of information with an energy harvesting sensor"
    - "age optimal information updates in multihop networks"
    - "update or wait how to keep your data fresh"
    - "optimizing data freshness throughput and delay in multi server information update systems"
    - "on remote estimation with multiple communication channels"
    - "optimal estimation with limited measurements and noisy communication"
    - "distortion transmission trade off in real time transmission of markov sources"
    - "paging and registration in cellular networks jointly optimal policies and an iterative algorithm"

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.SY(Systems and Control)