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: "random deployment of data collectors for serving randomly located sensors"
  Abstract: Recently, wireless communication industries have begun to extend their services to machine-type communication devices as well as to user equipments. Such machine-type communication devices as meters and sensors need intermittent uplink resources to report measured or sensed data to their serving data collector. It is however hard to dedicate limited uplink resources to each of them. Thus, efficient service of a tremendous number of devices with low activities may consider simple random access as a solution. The data collectors receiving the measured data from many sensors simultaneously can successfully decode only signals with signal-to-interference-plus-noise-ratio (SINR) above a certain value. The main design issues for this environment become how many data collectors are needed, how much power sensor nodes transmit with, and how wireless channels affect the performance. This paper provides answers to those questions through a stochastic analysis based on a spatial point process and on simulations.

Connected through hyperedge HE-1 (induced by source paper "on detection of critical events in a finite forest using randomly deployed wireless sensors"):
  with members:
    - "a primer on cellular network analysis using stochastic geometry"
    - "dynamic coverage of mobile sensor networks"
    - "distance distributions in finite uniformly random networks theory and applications"

Connected through hyperedge HE-2 (induced by source paper "energy efficient massive iot shared spectrum access over uav enabled cellular networks"):
  with members:
    - "cellular connected uav uplink association power control and interference coordination"
    - "performance analysis of uplink cellular iot using different deployments of data aggregators"
    - "aeronautical data aggregation and field estimation in iot networks hovering traveling time dilemma of uavs"
    - "mobile unmanned aerial vehicles uavs for energy efficient internet of things communications"
    - "on the energy distortion tradeoff in the iot"
    - "energy efficient data collection in uav enabled wireless sensor network"
    - "energy efficient uav communication with trajectory optimization"
    - "energy efficient power control a look at 5g wireless technologies"

Connected through hyperedge HE-3 (induced by source paper "performance analysis of uplink cellular iot using different deployments of data aggregators"):
  with members:
    - "massive machine type communication with data aggregation and resource scheduling"
    - "optimizing data aggregation for uplink machine to machine communication networks"
    - "heterogeneous cellular networks with flexible cell association a comprehensive downlink sinr analysis"

Connected through hyperedge HE-4 (induced by source paper "aggregation and resource scheduling in machine type communication networks a stochastic geometry approach"):
  with members:
    - "massive multiple access based on superposition raptor codes for cellular m2m communications"
    - "massive non orthogonal multiple access for cellular iot potentials and limitations"
    - "grant free massive noma outage probability and throughput"
    - "data aggregation and packet bundling of uplink small packets for monitoring applications in lte"
    - "spatiotemporal stochastic modeling of iot enabled cellular networks scalability and stability analysis"
    - "energy efficient scheduling and grouping for machine type communications over cellular networks"
    - "a delay optimal mac and packet scheduler for heterogeneous m2m uplink"
    - "massive machine type communication with data aggregation and resource scheduling"

Connected through hyperedge HE-5 (induced by source paper "massive machine type communication with data aggregation and resource scheduling"):
  with members:
    - "massive multiple access based on superposition raptor codes for cellular m2m communications"
    - "massive non orthogonal multiple access for cellular iot potentials and limitations"
    - "spatiotemporal stochastic modeling of iot enabled cellular networks scalability and stability analysis"
    - "energy efficient scheduling and grouping for machine type communications over cellular networks"
    - "a delay optimal mac and packet scheduler for heterogeneous m2m uplink"
    - "e 2 mac energy efficient medium access for massive m2m communications"
    - "massive machine type communications in 5g physical and mac layer solutions"
    - "random cell association and void probability in poisson distributed cellular networks"

Connected through hyperedge HE-6 (induced by source paper "physical layer security in three tier wireless sensor networks a stochastic geometry approach"):
  with members:
    - "safeguarding massive mimo aided hetnets using physical layer security"
    - "physical layer security in downlink multi antenna cellular networks"
    - "enhancing secrecy with multi antenna transmission in wireless ad hoc networks"
    - "optimal relay selection for physical layer security in cooperative wireless networks"
    - "physical layer security in cellular networks a stochastic geometry approach"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"
    - "on the throughput cost of physical layer security in decentralized wireless networks"
    - "diversity multiplexing tradeoff for the multiple antenna wire tap channel"

Connected through hyperedge HE-7 (induced by source paper "e 2 mac energy efficient medium access for massive m2m communications"):
  with members:
    - "design of a scalable hybrid mac protocol for heterogeneous m2m networks"
    - "reliable reporting for massive m2m communications with periodic resource pooling"
    - "power efficient system design for cellular based machine to machine communications"

Connected through hyperedge HE-8 (induced by source paper "optimizing data aggregation for uplink machine to machine communication networks"):
  with members:
    - "wide area wireless communication challenges for the internet of things"
    - "downlink cellular network analysis with multi slope path loss models"
    - "joint rate and sinr coverage analysis for decoupled uplink downlink biased cell associations in hetnets"
    - "fundamentals of throughput maximization with random arrivals for m2m communications"
    - "power efficient system design for cellular based machine to machine communications"
    - "offloading in heterogeneous networks modeling analysis and design insights"
    - "analytical modeling of uplink cellular networks"
    - "downlink capacity and base station density in cellular 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)