human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "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.

Includes members:
  Member "cross layer design of distributed sensing estimation with quality feedback part i optimal schemes":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "multi scale spectrum sensing in dense multi cell cognitive networks")
  Member "dynamic compression transmission for energy harvesting multihop networks with correlated sources":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "reconstruction of correlated sources with energy harvesting constraints in delay constrained and delay tolerant communication scenarios")
  Member "solarstat modeling photovoltaic sources through stochastic markov processes":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "energy sustainable paradigms and methods for future mobile networks a survey")
  Member "asymptotically optimal power allocation for energy harvesting communication networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on the secrecy capacity of a full duplex wirelessly powered communication system")
  Member "medium access control protocols for wireless sensor networks with energy harvesting":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "proportional fairness in aloha networks with rf energy harvesting")
  Member "transmission with energy harvesting nodes in fading wireless channels optimal policies":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "closed form analysis of non linear age of information in status updates with an energy harvesting transmitter")
  Member "optimal energy management policies for energy harvesting sensor nodes":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "achievable rate of multi antenna wsrns with eh constraint in the presence of a jammer")
  Member "efficient energy management policies for networks with energy harvesting sensor nodes":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "kalman prediction based proportional fair resource allocation for a solar powered wireless downlink")

Question: Please tell me which class the source paper 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)