human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "cooperative and distributed localization for wireless sensor networks in multipath environments"
  Abstract: We consider the problem of sensor localization in a wireless network in a multipath environment, where time and angle of arrival information are available at each sensor. We propose a distributed algorithm based on belief propagation, which allows sensors to cooperatively self-localize with respect to one single anchor in a multihop network. The algorithm has low overhead and is scalable. Simulations show that although the network is loopy, the proposed algorithm converges, and achieves good localization accuracy.

Connected through hyperedge HE-1 (induced by source paper "a bayesian algorithm for distributed network localization using distance and direction data"):
  with members:
    - "cooperative simultaneous localization and synchronization in mobile agent networks"
    - "joint device positioning and clock synchronization in 5g ultra dense networks"
    - "localization in mobile networks via virtual convex hulls"
    - "cooperative localization for mobile networks a distributed belief propagation mean field message passing algorithm"
    - "a tractable analysis of the improvement in unique localizability through collaboration"
    - "sub nanosecond time of flight on commercial wi fi cards"
    - "loopy belief propagation for approximate inference an empirical study"
    - "convergent message passing algorithms a unifying view"

Connected through hyperedge HE-2 (induced by source paper "cooperative network localization using hybrid range and angle measurements"):
  with members:
    - "cooperative simultaneous localization and synchronization in mobile agent networks"
    - "a tractable analysis of the improvement in unique localizability through collaboration"
    - "loopy belief propagation for approximate inference an empirical study"

Connected through hyperedge HE-3 (induced by source paper "distributed local linear parameter estimation using gaussian spawn"):
  with members:
    - "diffusion adaptation over networks"
    - "diffusion strategies outperform consensus strategies for distributed estimation over adaptive networks"

Connected through hyperedge HE-4 (induced by source paper "distributed localization of a rf target in nlos environments"):
  with members:
    - "collaborative high accuracy localization in mobile multipath environments"

Connected through hyperedge HE-5 (induced by source paper "collaborative high accuracy localization in mobile multipath environments"):
  with members:
    - "a measurement based shadow fading model for vehicle to vehicle network simulations"
    - "distributed high accuracy peer to peer localization in mobile multipath environments"
    - "fundamental limits of wideband localization part ii cooperative networks"

Question: Please tell me which class the center node 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.DC(Distributed, Parallel, and Cluster Computing)