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 "approximation algorithms for road coverage using wireless sensor networks for moving objects monitoring"):
  Abstract: Coverage problem in wireless sensor networks measures how well a region or parts of it is sensed by the deployed sensors. Definition of coverage metric depends on its applications for which sensors are deployed. In this paper, we introduce a new quality control metric/measure called road coverage. It will be used for measuring efficiency of a sensor network, which is deployed for tracking moving/mobile objects in a road network. A road segment is a sub-part of a road network. A road segment is said to be road covered if an object travels through the entire road segment then it must be detected somewhere on the road segment by a sensor. First, we propose different definitions of road coverage metrics. Thereafter, algorithms are proposed to measure those proposed road coverage metrics. It is shown that the problem of deploying minimum number of sensors to road cover a set of road segments is NP-hard. Constant factor approximation algorithms are proposed for road covering axis-parallel road segments. Experimental performance analysis of our algorithms are evaluated through simulations.

Includes members:
  Member "approximation algorithms for deployment of sensors for line segment coverage in wireless sensor networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "efficient constant factor approximation algorithms for stabbing line segments with equal disks")
  Member "covering a line segment with variable radius discs":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "worst case optimal covering of rectangles by disks")

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.CG(Computational Geometry)