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: "gac energy efficient hybrid gps accelerometer compass gsm localization"
  Abstract: Adding location to the available information enables a new category of applications. With the constrained battery on cell phones, energy-efficient localization becomes an important challenge. In this paper we introduce a low-energy calibration-free localization scheme based on the available internal sensors in many of today's phones. We start by energy profiling the different sensors that can be used for localization. Based on that, we propose GAC: a hybrid GPS/accelerometer/compass scheme that depends mainly on using the low-energy accelerometer and compass sensors and uses the GPS infrequently for synchronization. We implemented our system on Android-enabled cell phones and evaluated it in both highways and intra-city driving environments. Our results show that the proposed hybrid scheme has an exponential saving in energy, with a linear loss in accuracy compared to the GPS accuracy. We also evaluate the effect of the different parameters on the energy-accuracy tradeoff.

Connected through hyperedge HE-1 (induced by source paper "semmatch road semantics based accurate map matching for challenging positioning data"):
  with members:
    - "lanequest an accurate and energy efficient lane detection system"
    - "map a crowd sensing system for automatic map semantics identification"
    - "it s the human that matters accurate user orientation estimation for mobile computing applications"
    - "dejavu an accurate energy efficient outdoor localization system"
    - "cellsense an accurate energy efficient gsm positioning system"
    - "cellsense a probabilistic rssi based gsm positioning system"
    - "a hidden markov model for localization using low end gsm cell phones"
    - "on line viterbi algorithm for analysis of long biological sequences"

Connected through hyperedge HE-2 (induced by source paper "the diversity and scale matter ubiquitous transportation mode detection using single cell tower information"):
  with members:
    - "map a crowd sensing system for automatic map semantics identification"
    - "dejavu an accurate energy efficient outdoor localization system"
    - "cellsense an accurate energy efficient gsm positioning system"
    - "cellsense a probabilistic rssi based gsm positioning system"
    - "a hidden markov model for localization using low end gsm cell phones"

Connected through hyperedge HE-3 (induced by source paper "map a crowd sensing system for automatic map semantics identification"):
  with members:
    - "dejavu an accurate energy efficient outdoor localization system"
    - "crowdinside automatic construction of indoor floorplans"
    - "ubiquitous indoor localization and worldwide automatic construction of floor plans"
    - "cellsense an accurate energy efficient gsm positioning system"
    - "cellsense a probabilistic rssi based gsm positioning system"
    - "a hidden markov model for localization using low end gsm cell phones"

Connected through hyperedge HE-4 (induced by source paper "it s the human that matters accurate user orientation estimation for mobile computing applications"):
  with members:
    - "map a crowd sensing system for automatic map semantics identification"
    - "dejavu an accurate energy efficient outdoor localization system"
    - "crowdinside automatic construction of indoor floorplans"

Connected through hyperedge HE-5 (induced by source paper "dejavu an accurate energy efficient outdoor localization system"):
  with members:
    - "crowdinside automatic construction of indoor floorplans"
    - "cellsense an accurate energy efficient gsm positioning system"
    - "cellsense a probabilistic rssi based gsm positioning system"
    - "a hidden markov model for localization using low end gsm cell phones"

Connected through hyperedge HE-6 (induced by source paper "crowdinside automatic construction of indoor floorplans"):
  with members:
    - "cellsense an accurate energy efficient gsm positioning system"
    - "cellsense a probabilistic rssi based gsm positioning system"
    - "a hidden markov model for localization using low end gsm cell phones"

Connected through hyperedge HE-7 (induced by source paper "cellsense an accurate energy efficient gsm positioning system"):
  with members:
    - "cellsense a probabilistic rssi based gsm positioning system"
    - "a hidden markov model for localization using low end gsm cell phones"

Connected through hyperedge HE-8 (induced by source paper "a hidden markov model for localization using low end gsm cell phones"):
  with members:
    - "cellsense a probabilistic rssi based gsm positioning system"

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)