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: "modeling propagation characteristics for arm motion in wireless body area sensor networks"
  Abstract: To monitor health information using wireless sensors on body is a promising new application. Human body acts as a transmission channel in wearable wireless devices, so electromagnetic propagation modeling is well thought-out for transmission channel in Wireless Body Area Sensor Network (WBASN). In this paper we have presented the wave propagation in WBASN which is modeled as point source (Antenna), close to the arm of the human body. Four possible cases are presented, where transmitter and receiver are inside or outside of the body. Dyadic Green's function is specifically used to propose a channel model for arm motion of human body model. This function is expanded in terms of vector wave function and scattering superposition principle. This paper describes the analytical derivation of the spherical electric field distribution model and the simulation of those derivations.

Connected through hyperedge HE-1 (induced by source paper "an energy efficient decoding scheme for wireless body area sensor networks"):
  with members:
    - "heer hybrid energy efficient reactive protocol for wireless sensor networks"
    - "energy efficient mac protocols in wireless body area sensor networks a survey"
    - "e horm an energy efficient hole removing mechanism in wireless sensor networks"
    - "divide and rule scheme for energy efficient routing in wireless sensor networks"
    - "density controlled divide and rule scheme for energy efficient routing in wireless sensor networks"
    - "towards lp modeling for maximizing throughput and minimizing routing delay in proactive protocols in wireless multi hop networks"
    - "srp ms a new routing protocol for delay tolerant wireless sensor networks"
    - "aid an energy efficient decoding scheme for ldpc codes in wireless body area sensor networks"

Connected through hyperedge HE-2 (induced by source paper "distance aware relaying energy efficient dare to monitor patients in multi hop body area sensor networks"):
  with members:
    - "eddeec enhanced developed distributed energy efficient clustering for heterogeneous wireless sensor networks"
    - "ubiquitous healthcare in wireless body area networks a survey"
    - "energy efficient mac protocols in wireless body area sensor networks a survey"
    - "on modeling geometric joint sink mobility with delay tolerant cluster less wireless sensor networks"
    - "analyzing delay in wireless multi hop heterogeneous body area networks"
    - "srp ms a new routing protocol for delay tolerant wireless sensor networks"
    - "adaptive reliable medium access control protocol for wireless body area networks"
    - "analysis and modeling experiment performance parameters of routing protocols in manets and vanets"

Connected through hyperedge HE-3 (induced by source paper "the fame threshold based energy efficient fatigue measurement for wireless body area sensor networks using multiple sinks"):
  with members:
    - "energy efficient mac protocols in wireless body area sensor networks a survey"
    - "performance study of localization techniques in wireless body area sensor networks"
    - "noise filtering channel modeling and energy utilization in wireless body area networks"
    - "adaptive reliable medium access control protocol for wireless body area networks"
    - "m attempt a new energy efficient routing protocol in wireless body area sensor networks"
    - "on using multiple quality link metrics with destination sequenced distance vector protocol for wireless multi hop networks"
    - "identifying design requirements for wireless routing link metrics"
    - "interference and bandwidth adjusted etx in wireless multi hop networks"

Connected through hyperedge HE-4 (induced by source paper "non invasive induction link model for implantable biomedical microsystems pacemaker to monitor arrhythmic patients in body area networks"):
  with members:
    - "energy efficient mac protocols in wireless body area sensor networks a survey"
    - "on modeling geometric joint sink mobility with delay tolerant cluster less wireless sensor networks"
    - "srp ms a new routing protocol for delay tolerant wireless sensor networks"
    - "on adaptive energy efficient transmission in wsns"
    - "adaptive reliable medium access control protocol for wireless body area networks"
    - "analysis and modeling experiment performance parameters of routing protocols in manets and vanets"
    - "a comprehensive survey of mac protocols for wireless body area 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.SY(Systems and Control)