human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "capture aware sequential waterfilling for lorawan adaptive data rate"):
  Abstract: LoRaWAN (Long Range Wide Area Network) is emerging as an attractive network infrastructure for ultra low power Internet of Things devices. Even if the technology itself is quite mature and specified, the currently deployed wireless resource allocation strategies are still coarse and based on rough heuristics. This paper proposes an innovative "sequential waterfilling" strategy for assigning Spreading Factors (SF) to End-Devices (ED). Our design relies on three complementary approaches: i) equalize the Time-on-Air of the packets transmitted by the system's EDs in each spreading factor's group; ii) balance the spreading factors across multiple access gateways, and iii) keep into account the channel capture, which our experimental results show to be very substantial in LoRa. While retaining an extremely simple and scalable implementation, this strategy yields a significant improvement (up to 38%) in the network capacity over the legacy Adaptive Data Rate (ADR), and appears to be extremely robust to different operating/load conditions and network topology configurations.

Includes members:
  Member "how agile is the adaptive data rate mechanism of lorawan":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "performance analysis of single cell adaptive data rate enabled lorawan")
  Member "scalability analysis of a lora network under imperfect orthogonality":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "performance analysis of single cell adaptive data rate enabled lorawan")
  Member "fair adaptive data rate allocation and power control in lorawan":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "performance analysis of single cell adaptive data rate enabled lorawan")
  Member "on lorawan scalability empirical evaluation of susceptibility to inter network interference":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "tackling contention through cooperation a distributed federation in lorawan space")
  Member "low power wide area network analysis can lora scale":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "performance analysis of single cell adaptive data rate enabled lorawan")
  Member "mitigating inter network interference in lora networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "tackling contention through cooperation a distributed federation in lorawan space")

Question: Please tell me which class the source paper 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)