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: "geometry based vehicle to vehicle channel modeling for large scale simulation"
  Abstract: Due to the dynamic nature of vehicular traffic and the road surroundings, vehicle-to-vehicle (V2V) propagation characteristics vary greatly on both small and large scale. Recent measurements have shown that both large static objects (e.g., buildings and foliage) and mobile objects (surrounding vehicles) have a profound impact on V2V communication. At the same time, system-level vehicular ad hoc network (VANET) simulators by and large employ simple statistical propagation models, which do not account for surrounding objects explicitly. We designed Geometry-based Efficient propagation Model for V2V communication (GEMV#N# 2#N#), which uses outlines of vehicles, buildings, and foliage to distinguish the following three types of links: line of sight (LOS), non-LOS (NLOS) due to vehicles, and NLOS due to static objects. For each link, GEMV#N# 2#N# calculates the large-scale signal variations deterministically, whereas the small-scale signal variations are calculated stochastically based on the number and size of surrounding objects. We implement GEMV#N# 2#N# in MATLAB and show that it scales well by using it to simulate radio propagation for city-wide networks with tens of thousands of vehicles on commodity hardware. We make the source code of GEMV#N# 2#N# freely available. Finally, we validate GEMV#N# 2#N# against extensive measurements performed in urban, suburban, highway, and open-space environments.

Connected through hyperedge HE-1 (induced by source paper "estimating the relative speed of rf jammers in vanets"):
  with members:
    - "a symbol based estimation technique for inter vehicular communication performance optimization"

Connected through hyperedge HE-2 (induced by source paper "a measurement based multilink shadowing model for v2v network simulations of highway scenarios"):
  with members:
    - "a measurement based shadow fading model for vehicle to vehicle network simulations"
    - "em based channel estimation from crowd sourced rssi samples corrupted by noise and interference"
    - "statistical modeling and estimation of censored pathloss data"
    - "tvr tall vehicle relayingin vehicular networks"

Connected through hyperedge HE-3 (induced by source paper "empirical study of dsrc performance based on safety pilot model deployment data"):
  with members:
    - "comparative study of hidden node problem and solution using different techniques and protocols"

Connected through hyperedge HE-4 (induced by source paper "agile calibration process of full stack simulation frameworks for v2x communications"):
  with members:
    - "modeling and design of millimeter wave networks for highway vehicular communication"

Connected through hyperedge HE-5 (induced by source paper "ecpr environment and context aware combined power and rate distributed congestion control for vehicular communications"):
  with members:
    - "distributed and fair beaconing rate adaptation for congestion control in vehicular networks"
    - "evaluation of synchronous and asynchronous reactive distributed congestion control algorithms for the its g5 vehicular systems"
    - "a measurement based shadow fading model for vehicle to vehicle network simulations"
    - "vehicular communications survey and challenges of channel and propagation models"
    - "distributed and fair beaconing congestion control schemes for vehicular networks"

Connected through hyperedge HE-6 (induced by source paper "exploring the practical limits of cooperative awareness in vehicular communications"):
  with members:
    - "ecpr environment and context aware combined power and rate distributed congestion control for vehicular communications"
    - "a measurement based shadow fading model for vehicle to vehicle network simulations"
    - "tvr tall vehicle relayingin vehicular networks"

Connected through hyperedge HE-7 (induced by source paper "modeling the evolution of line of sight blockage for v2v channels"):
  with members:
    - "a measurement based shadow fading model for vehicle to vehicle network simulations"
    - "vehicular communications survey and challenges of channel and propagation models"
    - "tvr tall vehicle relayingin vehicular networks"

Connected through hyperedge HE-8 (induced by source paper "vehicular communications survey and challenges of channel and propagation models"):
  with members:
    - "a measurement based shadow fading model for vehicle to vehicle network simulations"
    - "delay and doppler spreads of nonstationary vehicular channels for safety relevant scenarios"
    - "tvr tall vehicle relayingin vehicular 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)