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: "on modeling geometric joint sink mobility with delay tolerant cluster less wireless sensor networks"
  Abstract: In recent study Moving Sink (MS) in Wireless Sensor Networks (WSNs) appears as a blessing. Because it collects data directly from the nodes and the concept of relay nodes is obsolete in this scheme. There are few challenges to be taken care of, like data delay tolerance and trajectory of MS which is NP-hard. In our proposed scheme, we divide the square field in small squares. Middle point of the partitioned area is the sojourn location of the sink, and nodes around MS are in it transmission range, they send directly the sensed data in a delay-tolerant fashion. Simultaneously two sinks are moving one is inside and having four sojourn locations and other is outer trajectory and have twelve sojourn locations. Introducing joint mobility is enhancing the network life and ultimately throughput. As the MS comes under the NP-hard problem here we convert it into a geometric problem and define it as, Geometric Sink Movement (GSM). Also there is set of linear programming equations supporting the model, and prolonging network life time.

Connected through hyperedge HE-1 (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"
    - "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"
    - "analytical survey of wearable sensors"

Connected through hyperedge HE-2 (induced by source paper "amctd adaptive mobility of courier nodes in threshold optimized dbr protocol for underwater wireless sensor networks"):
  with members:
    - "ach away cluster heads scheme for energy efficient clustering protocols in wsns"
    - "q leach a new routing protocol for wsns"
    - "heer hybrid energy efficient reactive protocol for wireless sensor networks"
    - "lpch and udlpch location aware routing techniques in wsns"
    - "e horm an energy efficient hole removing mechanism in wireless sensor networks"
    - "divide and rule scheme for energy efficient routing in wireless sensor networks"
    - "on adaptive energy efficient transmission in wsns"
    - "ceec centralized energy efficient clustering a new routing protocol for wsns"

Connected through hyperedge HE-3 (induced by source paper "m gear gateway based energy aware multi hop routing protocol for wsns"):
  with members:
    - "ach away cluster heads scheme for energy efficient clustering protocols in wsns"
    - "q leach a new routing protocol for wsns"
    - "heer hybrid energy efficient reactive protocol for wireless sensor networks"
    - "divide and rule scheme for energy efficient routing in wireless sensor networks"
    - "maximizing the lifetime of multi chain pegasis using sink mobility"
    - "on adaptive energy efficient transmission in wsns"
    - "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"
    - "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"
    - "modeling propagation characteristics for arm motion in wireless body area sensor networks"

Connected through hyperedge HE-5 (induced by source paper "advanced leach a static clustering based heteroneous routing protocol for wsns"):
  with members:
    - "hybrid deec towards efficient energy utilization in wireless sensor networks"
    - "improving network efficiency by removing energy holes in wsns"
    - "z sep zonal stable election protocol for wireless sensor networks"
    - "on adaptive energy efficient transmission in wsns"
    - "survey of extended leach based clustering routing protocols for wireless sensor 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.NI(Networking and Internet Architecture)