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: "age of information in random access channels"
  Abstract: In applications of remote sensing, estimation, and control, timely communication is not always ensured by high-rate communication. This work proposes distributed age-efficient transmission policies for random access channels with $M$ transmitters. In the first part of this work, we analyze the age performance of stationary randomized policies by relating the problem of finding age to the absorption time of a related Markov chain. In the second part of this work, we propose the notion of \emph{age-gain} of a packet to quantify how much the packet will reduce the instantaneous age of information at the receiver side upon successful delivery. We then utilize this notion to propose a transmission policy in which transmitters act in a distributed manner based on the age-gain of their available packets. In particular, each transmitter sends its latest packet only if its corresponding age-gain is beyond a certain threshold which could be computed adaptively using the collision feedback or found as a fixed value analytically in advance. Both methods improve age of information significantly compared to the state of the art. In the limit of large $M$, we prove that when the arrival rate is small (below $\frac{1}{eM}$), slotted ALOHA-type algorithms are asymptotically optimal. As the arrival rate increases beyond $\frac{1}{eM}$, while age increases under slotted ALOHA, it decreases significantly under the proposed age-based policies. For arrival rates $\theta$, $\theta=\frac{1}{o(M)}$, the proposed algorithms provide a multiplicative factor of at least two compared to the minimum age under slotted ALOHA (minimum over all arrival rates). We conclude that, as opposed to the common practice, it is beneficial to increase the sampling rate (and hence the arrival rate) and transmit packets selectively based on their age-gain.

Connected through hyperedge HE-1 (induced by source paper "age of information dependent random access for massive iot networks"):
  with members:
    - "age oriented opportunistic relaying in cooperative status update systems with stochastic arrivals"
    - "minimizing age of information via hybrid noma oma"
    - "minimizing the age of information of cognitive radio based iot systems under a collision constraint"
    - "minimizing the age of information noma or oma"
    - "minimizing age of information for real time monitoring in resource constrained industrial iot networks"
    - "scheduling policies for minimizing age of information in broadcast wireless networks"
    - "can decentralized status update achieve universally near optimal age of information in wireless multiaccess channels"
    - "timely status update in massive iot systems decentralized scheduling for wireless uplinks"

Connected through hyperedge HE-2 (induced by source paper "age of information in uncoordinated unslotted updating"):
  with members:
    - "on the optimality of the whittle s index policy for minimizing the age of information"
    - "a general formula for the stationary distribution of the age of information and its application to single server queues"
    - "age of information with prioritized streams when to buffer preempted packets"
    - "minimizing the age of information in a csma environment"
    - "optimal status updating for an energy harvesting sensor with a noisy channel"
    - "status updates in a multi stream m g 1 1 preemptive queue"
    - "age of information performance of multiaccess strategies with packet management"
    - "status updates over unreliable multiaccess channels"

Connected through hyperedge HE-3 (induced by source paper "a non cooperative multiple access game for timely updates"):
  with members:
    - "on the optimality of the whittle s index policy for minimizing the age of information"
    - "coexistence of age and throughput optimizing networks a game theoretic approach"
    - "a dynamic jamming game for real time status updates"
    - "age of information performance of multiaccess strategies with packet management"
    - "a game theoretic approach to dsrc and wifi coexistence"

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)