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: "low power wide area networks an overview"
  Abstract: Low Power Wide Area (LPWA) networks are attracting a lot of attention primarily because of their ability to offer affordable connectivity to the low-power devices distributed over very large geographical areas. In realizing the vision of the Internet of Things (IoT), LPWA technologies complement and sometimes supersede the conventional cellular and short range wireless technologies in performance for various emerging smart city and machine-to-machine (M2M) applications. This review paper presents the design goals and the techniques, which different LPWA technologies exploit to offer wide-area coverage to low-power devices at the expense of low data rates. We survey several emerging LPWA technologies and the standardization activities carried out by different standards development organizations (e.g., IEEE, IETF, 3GPP, ETSI) as well as the industrial consortia built around individual LPWA technologies (e.g., LORa Alliance,WEIGHTLESS-SIG, and DASH7 Alliance). We further note that LPWA technologies adopt similar approaches, thus sharing similar limitations and challenges. This paper expands on these research challenges and identifies potential directions to address them. While the proprietary LPWA technologies are already hitting the market with large nationwide roll-outs, this paper encourages an active engagement of the research community in solving problems that will shape the connectivity of tens of billions of devices in the next decade.

Connected through hyperedge HE-1 (induced by source paper "random access based reliable uplink communication and power transfer using dynamic power splitting"):
  with members:
    - "joint uplink and downlink resource configuration for ultra reliable and low latency communications"
    - "ultra reliable cooperative short packet communications with wireless energy transfer"
    - "on the beneficial roles of fading and transmit diversity in wireless power transfer with nonlinear energy harvesting"
    - "integration of satellites in 5g through leo constellations"
    - "ultra reliable and low latency communication in mmwave enabled massive mimo networks"
    - "practical non linear energy harvesting model and resource allocation for swipt systems"
    - "joint transmit beamforming and receive power splitting for miso swipt systems"
    - "wireless information and power transfer a dynamic power splitting approach"

Connected through hyperedge HE-2 (induced by source paper "spectrum sharing for massive access in ultra narrowband iot systems"):
  with members:
    - "sparse signal processing for grant free massive connectivity a future paradigm for random access protocols in the internet of things"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "aggregation and resource scheduling in machine type communication networks a stochastic geometry approach"
    - "long range communications in unlicensed bands the rising stars in the iot and smart city scenarios"
    - "transmission capacity of wireless networks"

Connected through hyperedge HE-3 (induced by source paper "architectural software patterns for the development of iot smart applications"):
  with members:
    - "advertising in the iot era vision and challenges"
    - "internet of things security and forensics challenges and opportunities"
    - "software platforms for smart cities concepts requirements challenges and a unified reference architecture"
    - "internet of things iot a vision architectural elements and future directions"

Connected through hyperedge HE-4 (induced by source paper "artificial intelligence for digital agriculture at scale techniques policies and challenges"):
  with members:
    - "auto tuning neural network quantization framework for collaborative inference between the cloud and edge"
    - "privacy preserving machine learning through data obfuscation"
    - "edge cloud offloading algorithms issues methods and perspectives"
    - "distributed deep neural networks over the cloud the edge and end devices"

Connected through hyperedge HE-5 (induced by source paper "tackling contention through cooperation a distributed federation in lorawan space"):
  with members:
    - "on lorawan scalability empirical evaluation of susceptibility to inter network interference"
    - "does bidirectional traffic do more harm than good in lorawan based lpwa networks"
    - "low power wide area network analysis can lora scale"
    - "mitigating inter network interference in lora networks"

Connected through hyperedge HE-6 (induced by source paper "hybrid coded replication in lora networks"):
  with members:
    - "scalability analysis of a lora network under imperfect orthogonality"
    - "application layer coding for iot benefits limitations and implementation aspects"
    - "low power wide area network analysis can lora scale"
    - "long range communications in unlicensed bands the rising stars in the iot and smart city scenarios"

Connected through hyperedge HE-7 (induced by source paper "beyond 5g low power wide area networks a lorawan suitability study"):
  with members:
    - "hybrid coded replication in lora networks"
    - "scalability analysis of a lora network under imperfect orthogonality"

Connected through hyperedge HE-8 (induced by source paper "grid constrained distributed optimization for frequency control with low voltage flexibility"):
  with members:
    - "a fast distributed algorithm for large scale demand response aggregation"

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)