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: "qos aware and survivable network design for planned wireless sensor networks"
  Abstract: We study the problem of wireless sensor network design by deploying a minimum number of additional relay nodes (to minimize network cost) at a subset of given potential relay locations, in order to convey the data from already existing sensor nodes (hereafter called source nodes) to a Base Station, while meeting a certain specified hop count bound (the hop count bound is chosen to ensure a pre-determined probability of the data being delivered to the BS within a given maximum delay). We study two variations of the problem. #R##N#First we sudy the problem of guaranteed QoS connected network design, where the objective is to have at least one path from each source to the BS with the specified hop count bound. We show that the problem is NP-Hard. For a problem in which the number of existing sensor nodes and potential relay locations is n, we propose an O(n) approximation algorithm of polynomial time complexity. Results show that the algorithm performs efficiently (in over 90% of the tested scenarios, it gave solutions that were either optimal or were worse than optimal by just one relay) in various randomly generated network scenarios. #R##N#Next, we study the problem of survivable network design with guaranteed QoS, i.e, the requirement is to have at least k > 1 node disjoint hop constrained paths from each source to the BS. We show that the problem is NP-Hard. We also show that the problem of finding a feasible solution to this optimization problem is NP-Complete. We propose two polynomial time heuristics for this problem, and compare their performance on various randomly generated network scenarios.

Connected through hyperedge HE-1 (induced by source paper "asynchronous stochastic approximation based learning algorithms for as you go deployment of wireless relay networks along a line"):
  with members:
    - "deploy as you go wireless relay placement an optimal sequential decision approach using the multi relay channel model"
    - "sequential decision algorithms for measurement based impromptu deployment of a wireless relay network along a line"
    - "impromptu deployment of wireless relay networks experiences along a forest trail"
    - "measurement based impromptu deployment of a multi hop wireless relay network"

Connected through hyperedge HE-2 (induced by source paper "sequential decision algorithms for measurement based impromptu deployment of a wireless relay network along a line"):
  with members:
    - "impromptu deployment of wireless relay networks experiences along a forest trail"
    - "measurement based impromptu deployment of a multi hop wireless relay network"

Connected through hyperedge HE-3 (induced by source paper "an approximate inner bound to the qos aware throughput region of a tree network under ieee 802 15 4 csma ca and application to wireless sensor network design"):
  with members:
    - "a fast and accurate performance analysis of beaconless ieee 802 15 4 multi hop networks"
    - "qos constrained optimal sink and relay placement in planned wireless sensor networks"
    - "asymptotic stability region of slotted aloha"
    - "a quantitative measure of fairness and discrimination for resource allocation in shared computer systems"

Connected through hyperedge HE-4 (induced by source paper "impromptu deployment of wireless relay networks experiences along a forest trail"):
  with members:
    - "as you go deployment of a wireless network with on line measurements and backtracking"
    - "measurement based impromptu deployment of a multi hop wireless relay network"

Connected through hyperedge HE-5 (induced by source paper "a fast and accurate performance analysis of beaconless ieee 802 15 4 multi hop networks"):
  with members:
    - "state dependent attempt rate modeling of single cell ieee 802 11 wlans with homogeneous nodes and poisson packet arrivals"

Connected through hyperedge HE-6 (induced by source paper "smartconnect a system for the design and deployment of wireless sensor networks"):
  with members:
    - "performance analysis of beacon less ieee 802 15 4 multi hop 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.NI(Networking and Internet Architecture)