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 "delay aware wireless network coding in adversarial traffic"):
  Abstract: We analyze a wireless line network employing wireless network coding. The two end nodes exchange their packets through relays. While a packet at a relay might not find its coding pair upon arrival, a transmission cost can be reduced by waiting for coding with a packet from the other side. To strike a balance between the reduced transmission cost and the cost incurred by the delay, a scheduling algorithm determining either to transmit an uncoded packet or to wait for coding is needed. Because of highly uncertain traffic injections, scheduling with no assumption of the traffic is critical. This paper proposes a randomized online scheduling algorithm for a relay in arbitrary traffic, which can be non-stationary or adversarial. The expected total cost (including a transmission cost and a delay cost) incurred by the proposed algorithm is at most e/(e-1) ~ 1.58 times the minimum achievable total cost. In particular, the proposed algorithm is universal in the sense that the ratio is independent of the traffic. With the universality, the proposed algorithm can be implemented at each relay distributedly (in a multi-relay network) with the same ratio. Moreover, the proposed algorithm turns out to generalize the classic ski-rental online algorithm.

Includes members:
  Member "online energy efficient scheduling for timely information downloads in mobile networks":
    also connected through other hyperedges:
      (none)
  Member "network utility maximization in adversarial environments":
    also connected through other hyperedges:
      (none)
  Member "adversarial network coding":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "partitions of matrix spaces with an application to q rook polynomials")
  Member "online ski rental for on off scheduling of energy harvesting base stations":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "multi agent meta reinforcement learning for self powered and sustainable edge computing systems")
  Member "throughput delay analysis of random linear network coding for wireless broadcasting":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "delay complexity trade off of random linear network coding in wireless broadcast")
  Member "optimal reverse carpooling over wireless networks a distributed optimization approach":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "to send or not to send an optimal stopping approach to network coding in multi hop wireless networks")
  Member "network coding aware queue management for tcp flows over coded wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "flexonc joint cooperative forwarding and network coding with precise encoding conditions")

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)