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: "distributed rate allocation in inter session network coding"
  Abstract: In this work, we propose a distributed rate allocation algorithm that minimizes the average decoding delay for multimedia clients in inter-session network coding systems. We consider a scenario where the users are organized in a mesh network and each user requests the content of one of the available sources. We propose a novel distributed algorithm where network users determine the coding operations and the packet rates to be requested from the parent nodes, such that the decoding delay is minimized for all clients. A rate allocation problem is solved by every user, which seeks the rates that minimize the average decoding delay for its children and for itself. Since this optimization problem is a priori non-convex, we introduce the concept of equivalent packet flows, which permits to estimate the expected number of packets that every user needs to collect for decoding. We then decompose our original rate allocation problem into a set of convex subproblems, which are eventually combined to obtain an effective approximate solution to the delay minimization problem. The results demonstrate that the proposed scheme eliminates the bottlenecks and reduces the decoding delay experienced by users with limited bandwidth resources. We validate the performance of our distributed rate allocation algorithm in different video streaming scenarios using the NS-3 network simulator. We show that our system is able to take benefit of inter-session network coding for simultaneous delivery of video sessions in networks with path diversity.

Connected through hyperedge HE-1 (induced by source paper "network coding based evolutionary network formation for dynamic wireless networks"):
  with members:
    - "decoding delay minimization in inter session network coding"
    - "random linear network coding for wireless layered video broadcast general design methods for adaptive feedback free transmission"
    - "enabling wireless power transfer in cellular networks architecture modeling and deployment"
    - "mac centered cooperation synergistic design of network coding multi packet reception and improved fairness to increase network throughput"
    - "coding for errors and erasures in random network coding"

Connected through hyperedge HE-2 (induced by source paper "distributed topology design for network coding deployed large scale sensor networks"):
  with members:
    - "network coding based evolutionary network formation for dynamic wireless networks"
    - "cost efficient qos aware data acquisition point placement for advanced metering infrastructure"
    - "decoding delay minimization in inter session network coding"
    - "dynamic network formation with incomplete information"
    - "mac centered cooperation synergistic design of network coding multi packet reception and improved fairness to increase network throughput"
    - "relay selection with network coding in two way relay channels"
    - "sensor networks with random links topology design for distributed consensus"

Connected through hyperedge HE-3 (induced by source paper "inter session network coding for transmitting multiple layered streams over single hop wireless networks"):
  with members:
    - "joint optimization of throughput and packet drop rate for delay sensitive applications in tdd satellite network coded systems"
    - "network coding meets multimedia a review"

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)