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 "modeling and simulating network connectivity in routing protocols for manets and vanets"):
  Abstract: This paper presents a framework for node distribution with respect to density, network connectivity and communication time. Using NS2, we evaluate and compare performance of three routing protocols; Ad-hoc Ondemand Distance Vector (AODV), Dynamic Source Routing (DSR) and Fisheye State Routing (FSR) both in MANETs (IEEE 802.11) and VANETs (IEEE 802.11p). We further enhanced these protocols by changing their routing information exchange intervals; MOD AODV, MOD DSR and MOD FSR. A comprehensive simulation work is performed for the comparison of these routing protocols for varying motilities and scalabilities of nodes. As a result, we can say that AODV outperforms DSR and FSR both in MANETs and VANETs. Index Terms: MANETs, VANETs, AODV, DSR, FSR, Routing, Throughput, E2ED, NRL. I. INTRODUCTION Mobile Ad-hoc Network (MANETs) are self-configuring network of mobile nodes connected by wireless links. Vehicular Ad-hoc Networks (VANETs) belong to special class of MANETs. They are distributed and selfassembling communication networks that are made up of multiple autonomous moving vehicles and peculiarize by very high node mobility. Routing protocols are designed to calculate paths for communication networks. In table driven, proactive protocols are based upon periodic exchange of control messages and maintains routing tables. However, the reactive protocol tries to discover a route only when demand arrives. Our simulation work based upon three protocols comparison in MANETs and in VANETs named as AODV [1], DSR [2] and FSR [3]. Moreover, we introduce some modifications in their routing exchange intervals; 1) in MOD AODV, augments AODV’s Expanding Ring Search algorithm (ERS) limits, 2) in MOD DSR, time associated with storage of routes in Route Cache is modified and 3) Scope intervals in FSR are adjusted in MOD FSR.

Includes members:
  Member "identifying design requirements for wireless routing link metrics":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "distance aware relaying energy efficient dare to monitor patients in multi hop body area sensor networks")
  Member "interference and bandwidth adjusted etx in wireless multi hop networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "an energy efficient decoding scheme for wireless body area sensor networks")
  Member "performance study of ieee802 11e qos in edcf contention based static and dynamic scenarios":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "evaluating and comparing probability of path loss in dsdv olsr and dymo at 802 11 and 802 11p")
  Member "performance study of etx based wireless routing metrics":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "an energy efficient decoding scheme for wireless 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)