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 using multiple quality link metrics with destination sequenced distance vector protocol for wireless multi hop networks"
  Abstract: In this paper, we compare and analyze performance of five quality link metrics for Wireless Multi-hop Networks (WMhNs). The metrics are based on loss probability measurements; ETX, ETT, InvETX, ML and MD, in a distance vector routing protocol; DSDV. Among these selected metrics, we have implemented ML, MD, InvETX and ETT in DSDV which are previously implemented with different protocols; ML, MD, InvETX are implemented with OLSR, while ETT is implemented in MR-LQSR. For our comparison, we have selected Throughput, Normalized Routing Load (NRL) and End-to-End Delay (E2ED) as performance parameters. Finally, we deduce that InvETX due to low computational burden and link asymmetry measurement outperforms among all metrics.

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"
    - "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-2 (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"
    - "modeling propagation characteristics for arm motion in wireless body area sensor networks"
    - "identifying design requirements for wireless routing link metrics"
    - "interference and bandwidth adjusted etx in wireless multi hop networks"

Connected through hyperedge HE-3 (induced by source paper "analysis and modeling of network connectivity in routing protocols for manets and vanets"):
  with members:
    - "evaluating impact of mobility on wireless routing protocols"
    - "identifying design requirements for wireless routing link metrics"
    - "interference and bandwidth adjusted etx in wireless multi hop networks"
    - "performance study of etx based wireless routing metrics"

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)