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: "optimal adaptive random multiaccess in energy harvesting wireless sensor networks"
  Abstract: Wireless sensors can integrate rechargeable batteries and energy-harvesting (EH) devices to enable long-term, autonomous operation, thus requiring intelligent energy management to limit the adverse impact of energy outages. This work considers a network of EH wireless sensors, which report packets with a random utility value to a fusion center (FC) over a shared wireless channel. Decentralized access schemes are designed, where each node performs a  local  decision to transmit/discard a packet, based on an estimate of the packet's utility, its own energy level, and the scenario state of the EH process, with the objective to maximize the average long-term aggregate utility of the packets received at the FC. Due to the non-convex structure of the problem, an approximate optimization is developed by resorting to a mathematical artifice based on a game theoretic formulation of the multiaccess scheme, where the nodes do not behave strategically, but rather attempt to maximize a  common  network utility with respect to their own policy. The  symmetric Nash equilibrium  (SNE) is characterized, where all nodes employ the same policy; its uniqueness is proved, and it is shown to be a local maximum of the original problem. An algorithm to compute the SNE is presented, and a heuristic scheme is proposed, which is optimal for large battery capacity. It is shown numerically that the SNE typically achieves near-optimal performance, within 3% of the optimal policy, at a fraction of the complexity, and two operational regimes of EH-networks are identified and analyzed: an  energy-limited scenario , where energy is scarce and the channel is under-utilized, and a  network-limited scenario , where energy is abundant and the shared wireless channel represents the bottleneck of the system.

Connected through hyperedge HE-1 (induced by source paper "game theory for multi access edge computing survey use cases and future trends"):
  with members:
    - "non cooperative game theory based rate adaptation for dynamic video streaming over http"
    - "fog computing a taxonomy survey and future directions"
    - "optimal pricing for a peer to peer sharing platform under network externalities"
    - "a survey on mobile edge networks convergence of computing caching and communications"
    - "a survey on mobile edge computing the communication perspective"
    - "sustainable incentives for mobile crowdsensing"
    - "multi agent reinforcement learning in sequential social dilemmas"
    - "mobile edge computing a survey on architecture and computation offloading"

Connected through hyperedge HE-2 (induced by source paper "survey of game theory and future trends with application to emerging wireless data communication networks"):
  with members:
    - "non cooperative game theory based rate adaptation for dynamic video streaming over http"
    - "fog computing a taxonomy survey and future directions"
    - "a survey on mobile edge computing the communication perspective"
    - "sustainable incentives for mobile crowdsensing"
    - "mobile edge computing a survey on architecture and computation offloading"
    - "game theory models for communication between agents a review"
    - "game theoretic multi agent control and network cost allocation under communication constraints"
    - "a survey on applications of model free strategy learning in cognitive wireless networks"

Connected through hyperedge HE-3 (induced by source paper "a decentralized optimization framework for energy harvesting devices"):
  with members:
    - "battery powered devices in wpcns"
    - "decentralized transmission policies for energy harvesting devices"
    - "energy harvesting wireless communications a review of recent advances"
    - "markov decision processes with applications in wireless sensor networks a survey"
    - "joint transmission and energy transfer policies for energy harvesting devices with finite batteries"
    - "universally near optimal online power control for energy harvesting nodes"
    - "wireless networks with rf energy harvesting a contemporary survey"
    - "a learning theoretic approach to energy harvesting communication system optimization"

Connected through hyperedge HE-4 (induced by source paper "decentralized hypothesis testing in energy harvesting wireless sensor networks"):
  with members:
    - "optimality of rate balancing in wireless sensor networks"
    - "decentralized detection in energy harvesting wireless sensor networks"
    - "energy harvesting wireless communications a review of recent advances"
    - "outage probability of energy harvesting relay aided cooperative networks over rayleigh fading channel"
    - "optimality of received energy in decision fusion over rayleigh fading diversity mac with non identical sensors"
    - "optimal strategies for communication and remote estimation with an energy harvesting sensor"
    - "optimal energy management policies for energy harvesting sensor nodes"

Connected through hyperedge HE-5 (induced by source paper "on the energy distortion tradeoff in the iot"):
  with members:
    - "energy harvesting wireless communications a review of recent advances"
    - "joint transmission and energy transfer policies for energy harvesting devices with finite batteries"
    - "energy management policies for energy neutral source channel coding"

Connected through hyperedge HE-6 (induced by source paper "battery powered devices in wpcns"):
  with members:
    - "optimal energy and data routing in networks with energy cooperation"
    - "wireless power meets energy harvesting a joint energy allocation approach in ofdm based system"
    - "decentralized transmission policies for energy harvesting devices"
    - "on the effects of battery imperfections in an energy harvesting device"
    - "achievable secrecy rates of an energy harvesting device"
    - "wireless powered communication opportunities and challenges"
    - "energy harvesting wireless communications a review of recent advances"
    - "energy harvesting networks with energy cooperation procrastinating policies"

Connected through hyperedge HE-7 (induced by source paper "decentralized transmission policies for energy harvesting devices"):
  with members:
    - "a decentralized optimization framework for energy harvesting devices"
    - "energy harvesting wireless communications a review of recent advances"
    - "joint transmission and energy transfer policies for energy harvesting devices with finite batteries"
    - "a learning theoretic approach to energy harvesting communication system optimization"
    - "scaling up decentralized mdps through heuristic search"
    - "optimum transmission policies for battery limited energy harvesting nodes"
    - "optimal energy management policies for energy harvesting sensor nodes"

Connected through hyperedge HE-8 (induced by source paper "on the effects of battery imperfections in an energy harvesting device"):
  with members:
    - "energy harvesting communication system with soc dependent energy storage losses"
    - "joint transmission and energy transfer policies for energy harvesting devices with finite batteries"
    - "a learning theoretic approach to energy harvesting communication system optimization"
    - "a general framework for the optimization of energy harvesting communication systems with battery imperfections"
    - "optimal packet scheduling in an energy harvesting communication system"
    - "optimal energy management policies for energy harvesting sensor nodes"

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.IT(Information Theory)