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 "an active network based open framework for iot"):
  Abstract: Major benefits of wireless sensor nodes of IoT like low cost and easy deployment are advocating their usage in variety of applications. Some of them are health monitoring, agriculture, environmental and habitant monitoring, and water monitoring. These nodes are autonomous in nature. It follows that they like to operate in a dynamic and adaptive network environment. So, the communication mechanism between IoT nodes must be robust and adaptive with respect to the environmental change. Unfortunately, the traditional networking architecture supports limited and fixed network computations. These limitations inhibit flexible and robust IoT nodes communication. In addition, the energy consumption in communication nodes is high due to limited processing. To address these issues, this paper gives rebirth to the active system. The proposed active network framework brings a novel integration of the active system with recent technologies (software-defined networking and network function virtualization). As a result of integration, the active system runs as a network function virtualization under the control of software-defined networking. In our view, the amalgam of recent technologies with the active system will promote a robust and flexible IoT nodes communication along with reduced energy consumption. Moreover, various design benefits such as security, flexibility, usability, cost, and performance will be added to the system. Additionally, the proposed framework is open and generalized. It can be extended to other networks such as mobile, satellite, and vehicular networks.

Includes members:
  Member "an energy driven network function virtualization for multi domain software defined networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "local differential privacy for deep learning")
  Member "sd wise a software defined wireless sensor network":
    also connected through other hyperedges:
      (none)

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)