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Optimal Incentive Pricing on Relaying Services for Maximizing Connection Availability in Multihop Cellular Networks

机译:中继服务的最优激励定价,以最大程度地提高多跳蜂窝网络的连接可用性

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This paper investigates an incentive pricing problem for relaying services in multihop cellular networks. Providing incentives to encourage mobile nodes to relay data is a critical factor in building successful multihop cellular networks. Most existing approaches adopt fixed-rate or location-based pricing on rewarding packets forwarding. This study applies a mathematical programming model to determine an optimal incentive price for each intermediate node that provides relaying services. Under the obtained incentive price, the connection availability of the networks is maximized by using the same relaying costs as other pricing schemes. A signomial geometric programming problem is constructed, and a deterministic optimization approach is employed to solve the problem. Besides, quality-of-service constraints are added in the proposed model to mitigate the unfairness between connection availabilities of individual nodes. Computational results demonstrate that the proposed model obtains the optimal incentive price on relaying services to maximize connection availability of the networks.
机译:本文研究了多跳蜂窝网络中中继服务的激励定价问题。提供激励措施以鼓励移动节点中继数据是构建成功的多跳蜂窝网络的关键因素。大多数现有方法在奖励数据包转发中采用固定费率或基于位置的定价。这项研究应用数学编程模型来确定提供中继服务的每个中间节点的最优激励价格。在获得的激励价格下,通过使用与其他定价方案相同的中继成本来最大化网络的连接可用性。构造了一个公称几何规划问题,并采用确定性优化方法来解决该问题。此外,在所提出的模型中增加了服务质量约束,以减轻各个节点的连接可用性之间的不公平性。计算结果表明,所提出的模型获得了中继服务的最优激励价格,以最大化网络的连接可用性。

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