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: "simultaneous distributed sensor self localization and target tracking using belief propagation and likelihood consensus"
  Abstract: We introduce the framework of cooperative simultaneous localization and tracking (CoSLAT), which provides a consistent combination of cooperative self-localization (CSL) and distributed target tracking (DTT) in sensor networks without a fusion center. CoSLAT extends simultaneous localization and tracking (SLAT) in that it uses also intersensor measurements. Starting from a factor graph formulation of the CoSLAT problem, we develop a particle-based, distributed message passing algorithm for CoSLAT that combines nonparametric belief propagation with the likelihood consensus scheme. The proposed CoSLAT algorithm improves on state-of-the-art CSL and DTT algorithms by exchanging probabilistic information between CSL and DTT. Simulation results demonstrate substantial improvements in both self-localization and tracking performance.

Connected through hyperedge HE-1 (induced by source paper "distributed joint sensor registration and multitarget tracking via sensor network"):
  with members:
    - "robust distributed fusion with labeled random finite sets"
    - "distributed fusion with multi bernoulli filter based on generalized covariance intersection"
    - "distributed on line multidimensional scaling for self localization in wireless sensor networks"
    - "distributed sensor localization in random environments using minimal number of anchor nodes"

Connected through hyperedge HE-2 (induced by source paper "optimizing reweighted belief propagation for likelihood consensus problems"):
  with members:
    - "cooperative synchronization in wireless networks"

Connected through hyperedge HE-3 (induced by source paper "consensus based joint target tracking and sensor localization"):
  with members:
    - "distributed sensor localization in random environments using minimal number of anchor nodes"

Connected through hyperedge HE-4 (induced by source paper "toa based passive localization of multiple targets with inaccurate receivers based on belief propagation on factor graph"):
  with members:
    - "sigma point belief propagation"
    - "fundamental limits of wideband localization part i a general framework"

Connected through hyperedge HE-5 (induced by source paper "cooperative simultaneous localization and tracking in mobile agent networks"):
  with members:
    - "approximate evaluation of marginal association probabilities with belief propagation"
    - "cooperative synchronization in wireless networks"
    - "sigma point belief propagation"
    - "belief consensus algorithms for fast distributed target tracking in wireless sensor networks"
    - "gossip algorithms for distributed signal processing"

Connected through hyperedge HE-6 (induced by source paper "distributed localization and tracking of mobile networks including noncooperative objects extended version"):
  with members:
    - "approximate evaluation of marginal association probabilities with belief propagation"
    - "cooperative synchronization in wireless networks"
    - "sigma point belief propagation"
    - "belief consensus algorithms for fast distributed target tracking in wireless sensor networks"
    - "gossip algorithms for distributed signal processing"

Connected through hyperedge HE-7 (induced by source paper "distributed estimation with information seeking control in agent network"):
  with members:
    - "cooperative simultaneous localization and tracking in mobile agent networks"
    - "cooperative synchronization in wireless networks"
    - "belief consensus algorithms for fast distributed target tracking in wireless sensor networks"
    - "gossip algorithms for distributed signal processing"

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.NI(Networking and Internet Architecture)