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 "modleach a variant of leach for wsns"):
  Abstract: Wireless sensor networks are appearing as an emerging need for mankind. Though, Such networks are still in research phase however, they have high potential to be applied in almost every field of life. Lots of research is done and a lot more is awaiting to be standardized. In this work, cluster based routing in wireless sensor networks is studied precisely. Further, we modify one of the most prominent wireless sensor network's routing protocol "LEACH" as modified LEACH (MODLEACH) by introducing efficient cluster head replacement scheme and dual transmitting power levels. Our modified LEACH, in comparison with LEACH out performs it using metrics of cluster head formation, through put and network life. Afterwards, hard and soft thresholds are implemented on modified LEACH (MODLEACH) that boast the performance even more. Finally a brief performance analysis of LEACH, Modified LEACH (MODLEACH), MODLEACH with hard threshold (MODLEACHHT) and MODLEACH with soft threshold (MODLEACHST) is undertaken considering metrics of throughput, network life and cluster head replacements.

Includes members:
  Member "q leach a new routing protocol for wsns":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a new rank order clustering algorithm for prolonging the lifetime of wireless sensor networks")
  Member "beenish balanced energy efficient network integrated super heterogeneous protocol for wireless sensor networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "survey on variants of distributed energy efficient clustering protocols in heterogeneous wireless sensor network")
  Member "east energy efficient adaptive scheme for transmission in wireless sensor networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "imod leach improved modified leach protocol for wireless sensor networks")
  Member "hsep heterogeneity aware hierarchical stable election protocol for wsns":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "beenish balanced energy efficient network integrated super heterogeneous protocol for wireless sensor networks")
  Member "energy efficient sleep awake aware eesaa intelligent sensor network routing protocol":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "modeling and evaluating performance of routing operations in reactive routing protocols")
  Member "tsep threshold sensitive stable election protocol for 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 "analyzing energy efficiency and route selection of multi level hierarchal routing protocols in wsns":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "energy optimization and performance analysis of cluster based routing protocols extended from leach for wsns")
  Member "survey of extended leach based clustering routing protocols for wireless sensor networks":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "how functional complexity affects the scalability energy efficiency trade off of hcc wsn clustering")

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)