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: "analyzing delay in wireless multi hop heterogeneous body area networks"
  Abstract: With increase in ageing population, health care market keeps growing. There is a need for monitoring of health issues. Wireless Body Area Network (WBAN) consists of wireless sensors attached on or inside human body for monitoring vital health related problems e.g, Electro Cardiogram (ECG), Electro Encephalogram (EEG), ElectronyStagmography (ENG) etc. Due to life threatening situations, timely sending of data is essential. For data to reach health care center, there must be a proper way of sending data through reliable connection and with minimum delay. In this paper transmission delay of different paths, through which data is sent from sensor to health care center over heterogeneous multi-hop wireless channel is analyzed. Data of medical related diseases is sent through three different paths. In all three paths, data from sensors first reaches ZigBee, which is the common link in all three paths. Wireless Local Area Network (WLAN), Worldwide Interoperability for Microwave Access (WiMAX), Universal Mobile Telecommunication System (UMTS) are connected with ZigBee. Each network (WLAN, WiMAX, UMTS) is setup according to environmental conditions, suitability of device and availability of structure for that device. Data from these networks is sent to IP-Cloud, which is further connected to health care center. Delay of data reaching each device is calculated and represented graphically. Main aim of this paper is to calculate delay of each link in each path over multi-hop wireless channel.

Connected through hyperedge HE-1 (induced by source paper "distance aware relaying energy efficient dare to monitor patients in multi hop body area sensor networks"):
  with members:
    - "eddeec enhanced developed distributed energy efficient clustering for heterogeneous wireless sensor networks"
    - "ubiquitous healthcare in wireless body area networks a survey"
    - "energy efficient mac protocols in wireless body area sensor networks a survey"
    - "on modeling geometric joint sink mobility with delay tolerant cluster less wireless sensor networks"
    - "srp ms a new routing protocol for delay tolerant wireless sensor networks"
    - "adaptive reliable medium access control protocol for wireless body area networks"
    - "analysis and modeling experiment performance parameters of routing protocols in manets and vanets"
    - "analytical survey of wearable sensors"

Connected through hyperedge HE-2 (induced by source paper "simple stable increased throughput multi hop protocol for link efficiency in wireless body area networks"):
  with members:
    - "ubiquitous healthcare in wireless body area networks a survey"
    - "q leach a new routing protocol for wsns"
    - "on energy efficiency and delay minimization in reactive protocols in wireless multi hop networks"
    - "analyzing medium access techniques in wireless body area networks"
    - "noise filtering channel modeling and energy utilization in wireless body area networks"
    - "m attempt a new energy efficient routing protocol in wireless body area sensor networks"
    - "identifying design requirements for wireless routing link metrics"
    - "interference and bandwidth adjusted etx in wireless 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)