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: "fuzzy logic control based qos management in wireless sensor actuator networks"
  Abstract: Wireless sensor/actuator networks (WSANs) are emerging rapidly as a new generation of sensor networks. Despite intensive research in wireless sensor networks (WSNs), limited work has been found in the open literature in the field of WSANs. In particular, quality-of-service (QoS) management in WSANs remains an important issue yet to be investigated. As an attempt in this direction, this paper develops a fuzzy logic control based QoS management (FLC-QM) scheme for WSANs with constrained resources and in dynamic and unpredictable environments. Taking advantage of the feedback control technology, this scheme deals with the impact of unpredictable changes in traffic load on the QoS of WSANs. It utilizes a fuzzy logic controller inside each source sensor node to adapt sampling period to the deadline miss ratio associated with data transmission from the sensor to the actuator. The deadline miss ratio is maintained at a pre-determined desired level so that the required QoS can be achieved. The FLC-QM has the advantages of generality, scalability, and simplicity. Simulation results show that the FLC-QM can provide WSANs with QoS support.

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"
    - "wireless sensor actuator network design for mobile control applications"
    - "flexible time triggered sampling in smart sensor based wireless control systems"
    - "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"
    - "wireless sensor actuator network design for mobile control applications"
    - "flexible time triggered sampling in smart sensor based wireless control systems"
    - "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:
    - "wireless sensor actuator network design for mobile control applications"
    - "flexible time triggered sampling in smart sensor based wireless control systems"
    - "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:
    - "wireless sensor actuator network design for mobile control applications"
    - "flexible time triggered sampling in smart sensor based wireless control systems"
    - "feedback scheduling an event driven paradigm"

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)