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 "distributed bare bones communication in wireless networks"):
  Abstract: We consider wireless networks with the SINR model of interference when nodes have very limited individual knowledge and capabilities. In particular, nodes do not know their geographic coordinates and their neighborhoods, nor even the size $n$ of the network, nor can they sense collisions. Each node is equipped only with a unique integer name, where $N$ is an upper bound on their range. We study distributed algorithms for communication problems in the following three settings. In the single-node-start case, when one node starts an execution and the other nodes are awoken by receiving messages from already awoken nodes, we present a randomized broadcast algorithm which wakes up all the nodes in $O(n \log^2 N)$ rounds with high probability. Let $\Delta$ denote the maximum number of nodes that successfully receive a message transmitted by a node when no other nodes transmit. For the synchronized-start case, when all the nodes start an execution simultaneously, we give a randomized algorithm that computes a backbone of the network in $O(\Delta\log^{7} N)$ rounds with high probability. Finally, in the partly-coordinated-start case, when a number of nodes start an execution together and other nodes are awoken by receiving messages from the already awoken nodes, we develop an algorithm that creates a backbone network in time $O(n\log^2 N +\Delta\log^{7} N)$ with high probability.

Includes members:
  Member "multi broadcasting under the sinr model":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "deterministic protocols in the sinr model without knowledge of coordinates")
  Member "beyond geometry towards fully realistic wireless models":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "effective wireless scheduling via hypergraph sketches")
  Member "on the impact of geometry on ad hoc communication in wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "deterministic protocols in the sinr model without knowledge of coordinates")
  Member "distributed deterministic broadcasting in uniform power ad hoc wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "deterministic protocols in the sinr model without knowledge of coordinates")

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.DC(Distributed, Parallel, and Cluster Computing)