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 "simple stable increased throughput multi hop protocol for link efficiency in wireless body area networks"):
  Abstract: In this work, we propose a reliable, power efficient and high throughput routing protocol for Wireless Body Area Networks (WBANs). We use multi-hop topology to achieve minimum energy consumption and longer network lifetime. We propose a cost function to select parent node or forwarder. Proposed cost function selects a parent node which has high residual energy and minimum distance to sink. Residual energy parameter balances the energy consumption among the sensor nodes while distance parameter ensures successful packet delivery to sink. Simulation results show that our proposed protocol maximize the network stability period and nodes stay alive for longer period. Longer stability period contributes high packet delivery to sink which is major interest for continuous patient monitoring.

Includes members:
  Member "ubiquitous healthcare in wireless body area networks a survey":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "wireless broadcast with short labelling")
  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 "on energy efficiency and delay minimization in reactive protocols in wireless multi hop networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "modeling and evaluating performance of routing operations in reactive routing protocols")
  Member "analyzing delay in wireless multi hop heterogeneous body area networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "distance aware relaying energy efficient dare to monitor patients in multi hop body area sensor networks")
  Member "analyzing medium access techniques in wireless body area networks":
    also connected through other hyperedges:
      (none)
  Member "noise filtering channel modeling and energy utilization in wireless body area 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 "m attempt a new energy efficient routing protocol in wireless body area sensor networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "distance aware relaying energy efficient dare to monitor patients in multi hop 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)