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: "maximizing the lifetime of multi chain pegasis using sink mobility"
  Abstract: 3 Abstract: In this paper, we propose the mobility of a sink in improved energy efficient PEGASIS-based protocol (IEEPB) to advance the network lifetime of Wireless Sensor Networks (WSNs). The multi-head chain, multi-chain concept and the sink mobility affects largely in enhancing the network lifetime of wireless sensors. Thus, we recommend Mobile sink improved energy-efficient PEGASIS-based routing protocol (MIEEPB); a multi-chain model having a sink mobility, to achieve proficient energy utilization of wireless sensors. As the motorized movement of mobile sink is steered by petrol or current, there is a need to confine this movement within boundaries and the trajectory of mobile sink should be fixed. In our technique, the mobile sink moves along its trajectory and stays for a sojourn time at sojourn location to guarantee complete data collection. We develop an algorithm for trajectory of mobile sink. We ultimately perform wide-ranging experiments to assess the performance of the proposed method. The results reveal that the proposed way out is nearly optimal and also better than IEEPB in terms of network lifetime.

Connected through hyperedge HE-1 (induced by source paper "survey on variants of distributed energy efficient clustering protocols in heterogeneous wireless sensor network"):
  with members:
    - "eddeec enhanced developed distributed energy efficient clustering for heterogeneous wireless sensor networks"
    - "hybrid deec towards efficient energy utilization in wireless sensor networks"
    - "heer hybrid energy efficient reactive protocol for wireless sensor networks"
    - "beenish balanced energy efficient network integrated super heterogeneous protocol for wireless sensor networks"

Connected through hyperedge HE-2 (induced by source paper "m gear gateway based energy aware multi hop routing protocol for wsns"):
  with members:
    - "ach away cluster heads scheme for energy efficient clustering protocols in wsns"
    - "q leach a new routing protocol for wsns"
    - "heer hybrid energy efficient reactive protocol for wireless sensor networks"
    - "on modeling geometric joint sink mobility with delay tolerant cluster less wireless sensor networks"
    - "divide and rule scheme for energy efficient routing in wireless sensor networks"
    - "on adaptive energy efficient transmission in wsns"
    - "identifying design requirements for wireless routing link metrics"
    - "interference and bandwidth adjusted etx in wireless multi hop networks"

Connected through hyperedge HE-3 (induced by source paper "am discnt angular multi hop distance based circular network transmission protocol for wsns"):
  with members:
    - "hybrid deec towards efficient energy utilization in wireless sensor networks"
    - "ach away cluster heads scheme for energy efficient clustering protocols in wsns"
    - "improving network efficiency by removing energy holes in wsns"
    - "identifying design requirements for wireless routing link metrics"
    - "performance study of etx based wireless routing metrics"

Connected through hyperedge HE-4 (induced by source paper "on sink mobility trajectory in clustering routing protocols in wsns"):
  with members:
    - "on performance evaluation of variants of deec in wsns"
    - "survey of extended leach based clustering routing protocols for wireless sensor 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)