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: "age of information in multiple sensing of a single source"
  Abstract: Having timely and fresh knowledge about the current state of information sources is critical in a variety of applications. In particular, a status update may arrive at its destination much later than its generation time due to processing and communication delays. The freshness of the status update at the destination is captured by the notion of age of information. In this study, we consider a network with a single source, a single monitor (destination), and n sensors. In this setting, a single source of information is being sensed independently by different sensors and the data is sent to the monitor. We assume that updates about the source of information arrive at the sensors according to a Poisson random process. Each sensor sends its update to the monitor through a direct link, which is modeled as a queue. The service time to transmit an update is considered to be an exponential random variable. We derive a closed-form expression for the average age of information in our model under a last-come-first-serve (LCFS) queue. Then, we compare different queue setups of first-come-first-serve (FCFS), LCFS, and LCFS with preemption in waiting in terms of the average age of information. It is observed that LCFS is the best queue among the service disciplines.

Connected through hyperedge HE-1 (induced by source paper "on the age of information in internet of things systems with correlated devices"):
  with members:
    - "age of information analysis for dynamic spectrum sharing"
    - "minimizing the age of information of cognitive radio based iot systems under a collision constraint"
    - "sampling for remote estimation through queues age of information and beyond"
    - "a reinforcement learning framework for optimizing age of information in rf powered communication systems"
    - "status from a random field how densely should one update"
    - "age of information in multiple sensing"
    - "minimizing the age of information in a csma environment"
    - "scheduling to minimize age of information in multi state time varying networks with power constraints"

Connected through hyperedge HE-2 (induced by source paper "fundamental limits of age of information in stationary and non stationary environments"):
  with members:
    - "on minimizing the maximum age of information for wireless erasure channels"
    - "age optimal information gathering and dissemination on graphs"
    - "scheduling policies for minimizing age of information in broadcast wireless networks"
    - "user mobility evaluation for 5g small cell networks based on individual mobility model"
    - "on the age of information in status update systems with packet management"

Connected through hyperedge HE-3 (induced by source paper "on the age of information in erasure channels with feedback"):
  with members:
    - "a reinforcement learning framework for optimizing age of information in rf powered communication systems"
    - "benefits of coding on age of information in broadcast networks"
    - "optimal age over erasure channels"
    - "adaptive coding for information freshness in a two user broadcast erasure channel"
    - "timely updates over an erasure channel"
    - "status updates through m g 1 1 queues with harq"
    - "the age of information real time status updating by multiple sources"
    - "on the age of information in status update systems with packet management"

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)