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: "flexible time triggered sampling in smart sensor based wireless control systems"
  Abstract: Wireless control systems (WCSs) often have to operate in dynamic environments where the network traffic load may vary unpredictably over time. The sampling in sensors is conventionally time triggered with fixed periods. In this context, only worse-than-possible quality of control (QoC) can be achieved when the network is underloaded, while overloaded conditions may significantly degrade the QoC, even causing system instability. This is particularly true when the bandwidth of the wireless network is limited and shared by multiple control loops. To address these problems, a flexible time-triggered sampling scheme is presented in this work. Smart sensors are used to facilitate dynamic adjustment of sampling periods, which enhances the flexibility and resource efficiency of the system based on time-triggered sampling. Feedback control technology is exploited for adapting sampling periods in a periodic manner. The deadline miss ratio in each control loop is maintained at/around a desired level, regardless of workload variations. Simulation results show that the proposed sampling scheme is able to deal with dynamic and unpredictable variations in network traffic load. Compared to conventional time-triggered sampling, it leads to much better QoC in WCSs operating in dynamic environments.

Connected through hyperedge HE-1 (induced by source paper "cyber physical control over wireless sensor and actuator networks with packet loss"):
  with members:
    - "network qos management in cyber physical systems"
    - "fuzzy logic control based qos management in wireless sensor actuator networks"
    - "wireless sensor actuator network design for mobile control applications"
    - "qos challenges and opportunities in wireless sensor actuator networks"
    - "feedback scheduling an event driven paradigm"

Connected through hyperedge HE-2 (induced by source paper "cross layer adaptive feedback scheduling of wireless control systems"):
  with members:
    - "feedback scheduling of priority driven control networks"
    - "fuzzy logic control based qos management in wireless sensor actuator networks"
    - "wireless sensor actuator network design for mobile control applications"
    - "qos challenges and opportunities in wireless sensor actuator networks"
    - "feedback scheduling an event driven paradigm"

Connected through hyperedge HE-3 (induced by source paper "network qos management in cyber physical systems"):
  with members:
    - "fuzzy logic control based qos management in wireless sensor actuator networks"
    - "wireless sensor actuator network design for mobile control applications"
    - "qos challenges and opportunities in wireless sensor actuator networks"
    - "feedback scheduling an event driven paradigm"

Connected through hyperedge HE-4 (induced by source paper "qos challenges and opportunities in wireless sensor actuator networks"):
  with members:
    - "fuzzy logic control based qos management in wireless sensor actuator networks"
    - "wireless sensor actuator network design for mobile control applications"
    - "feedback scheduling an event driven paradigm"

Connected through hyperedge HE-5 (induced by source paper "fuzzy logic control based qos management in wireless sensor actuator networks"):
  with members:
    - "control scheduling codesign a perspective on integrating control and computing"
    - "wireless sensor actuator network design for mobile control applications"

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)