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 "reech me regional energy efficient cluster heads based on maximum energy routing protocol for wsns"):
  Abstract: In this paper, we propose Regional Energy Efficient Cluster Heads based on Maximum Energy (REECH-ME) Routing Protocol for Wireless Sensor Networks (WSNs). The main purpose of this protocol is to improve the network lifetime and particularly the stability period of the network. In REECH-ME, the node with the maximum energy in a region becomes Cluster Head (CH) of that region for that particular round and the number of the cluster heads in each round remains the same. Our technique outperforms LEACH which uses probabilistic approach for the selection of CHs. We also implement the Uniform Random Distribution Model to find the packet drop to make this protocol more practical. We also calculate the confidence interval of all our results which helps us to visualize the possible deviation of our graphs from the mean value.

Includes members:
  Member "eddeec enhanced developed distributed energy efficient clustering for heterogeneous wireless sensor networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "survey on variants of distributed energy efficient clustering protocols in heterogeneous wireless sensor network")
  Member "q leach a new routing protocol for wsns":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a new rank order clustering algorithm for prolonging the lifetime of wireless sensor networks")
  Member "heer hybrid energy efficient reactive protocol for wireless sensor networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "survey on variants of distributed energy efficient clustering protocols in heterogeneous wireless sensor network")
  Member "z sep zonal stable election protocol for wireless sensor networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "dreem me distributed regional energy efficient multi hop routing protocol based on maximum energy in wsns")
  Member "divide and rule scheme for energy efficient routing in wireless sensor networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "an energy efficient decoding scheme for wireless body area sensor networks")
  Member "investigating quality routing link metrics in wireless multi hop networks":
    also connected through other hyperedges:
      (none)
  Member "on adaptive energy efficient transmission in wsns":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "an energy efficient decoding scheme for wireless body area sensor networks")
  Member "identifying design requirements for wireless routing link metrics":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "distance aware relaying energy efficient dare to monitor patients in multi hop body area sensor networks")

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)