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: "optimizing information freshness in computing enabled iot networks"
  Abstract: Internet of Things (IoT) has emerged as one of the key features of the next-generation wireless networks, where timely delivery of status update packets is essential for many real-time IoT applications. To provide users with context-aware services and lighten the transmission burden, the raw data usually need to be preprocessed before being transmitted to the destination. However, the effect of computing on the overall information freshness is not well understood. In this article, we first develop an analytical framework to investigate the information freshness, in terms of peak age of information (PAoI), of a computing-enabled IoT system with multiple sensors. Specifically, we model the procedure of computing and transmission as a tandem queue and derive the analytical expressions of the average PAoI for different sensors. Based on the theoretical results, we formulate a min–max optimization problem to minimize the maximum average PAoI of different sensors. We further design a derivative-free algorithm to find the optimal updating frequency, with which the complexity for checking the convexity of the formulated problem or obtaining the derivatives of the object function can be largely reduced. The accuracy of our analysis and the effectiveness of the proposed algorithm are verified with extensive simulation results.

Connected through hyperedge HE-1 (induced by source paper "timely status updating through intermittent sensing and transmission"):
  with members:
    - "a general formula for the stationary distribution of the age of information and its application to single server queues"
    - "trading off computation with transmission in status update systems"
    - "waiting before serving a companion to packet management in status update systems"
    - "reducing age of information for computation intensive messages via packet replacement"
    - "the age of information in networks moments distributions and sampling"
    - "optimal status updating for an energy harvesting sensor with a noisy channel"
    - "can determinacy minimize age of information"
    - "controlling packet drops to improve freshness of information"

Connected through hyperedge HE-2 (induced by source paper "average age of changed information in the internet of things"):
  with members:
    - "the age of incorrect information a new performance metric for status updates"
    - "age optimal trajectory planning for uav assisted data collection"

Connected through hyperedge HE-3 (induced by source paper "aoi and energy consumption oriented dynamic status updating in caching enabled iot networks"):
  with members:
    - "dynamic content update for wireless edge caching via deep reinforcement learning"
    - "age of information aware cache updating with file and age dependent update durations"

Connected through hyperedge HE-4 (induced by source paper "optimizing information freshness through computation transmission tradeoff and queue management in edge computing"):
  with members:
    - "a general formula for the stationary distribution of the age of information and its application to single server queues"
    - "trading off computation with transmission in status update systems"
    - "waiting before serving a companion to packet management in status update systems"
    - "reducing age of information for computation intensive messages via packet replacement"
    - "relative age of information a new metric for status update systems"
    - "the age of information in networks moments distributions and sampling"
    - "can determinacy minimize age of information"
    - "the age of updates in a simple relay network"

Connected through hyperedge HE-5 (induced by source paper "a spatiotemporal model for peak aoi in uplink iot networks time vs event triggered traffic"):
  with members:
    - "a spatiotemporal framework for information freshness in iot uplink networks"
    - "locally adaptive scheduling policy for optimizing information freshness in wireless networks"
    - "can determinacy minimize age of information"
    - "age of information in poisson networks"
    - "average age of information with hybrid arq under a resource constraint"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "the meta distribution of the sir for cellular networks with power control"
    - "analytical modeling of interference aware power control for the uplink of heterogeneous cellular networks"

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)