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: "modeling overall energy consumption in wireless sensor networks"
  Abstract: Minimizing the energy consumption of a wireless sensor network application is crucial for effective realization of the intended application in terms of cost, lifetime, and functionality. However, the minimizing task is hardly possible as no overall energy cost function is available for optimization. Optimizing a specific component of the total energy cost does not help in reducing the total energy cost as this reduction may be negated by an increase in the energy consumption of other components of the application. Recently we proposed Hierarchy Energy Driven Architecture as a robust architecture that takes into account all principal energy constituents of wireless sensor network applications. Based on the proposed architecture, this paper presents a single overall model and proposes a feasible formulation to express the overall energy consumption of a generic wireless sensor network application in terms of its energy constituents. The formulation offers a concrete expression for evaluating the performance of a wireless sensor network application, optimizing its constituent's operations, and designing more energy-efficient applications. The paper also presents simulation results to demonstrate the feasibility of our model and energy formulation

Connected through hyperedge HE-1 (induced by source paper "on modeling dependency between mapreduce configuration parameters and total execution time"):
  with members:
    - "a task based sensor centeric model for overall energy consumption"
    - "on using pattern matching algorithms in mapreduce applications"
    - "a study on modeling of dependency between configuration parameters and overall energy consumption in wireless sensor network wsn"
    - "some observations on optimal frequency selection in dvfs based energy consumption minimization"

Connected through hyperedge HE-2 (induced by source paper "data gathering scheme for wireless sensornetworks using a single mobile element"):
  with members:
    - "on using pattern matching algorithms in mapreduce applications"
    - "some observations on optimal frequency selection in dvfs based energy consumption minimization"

Connected through hyperedge HE-3 (induced by source paper "multiple frequency selection in dvfs enabled processors to minimize energy consumption"):
  with members:
    - "a task based sensor centeric model for overall energy consumption"

Connected through hyperedge HE-4 (induced by source paper "an energy driven architecture for wireless sensor networks"):
  with members:
    - "some observations on optimal frequency selection in dvfs based energy consumption minimization"

Connected through hyperedge HE-5 (induced by source paper "a study on modeling of dependency between configuration parameters and overall energy consumption in wireless sensor network wsn"):
  with members:
    - "some observations on optimal frequency selection in dvfs based energy consumption minimization"

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)