...
首页> 外文期刊>IEEE transactions on wireless communications >Cost Sharing Games for Energy-Efficient Multi-Hop Broadcast in Wireless Networks
【24h】

Cost Sharing Games for Energy-Efficient Multi-Hop Broadcast in Wireless Networks

机译:无线网络中节能多跳广播的成本分摊游戏

获取原文
获取原文并翻译 | 示例

摘要

We study multi-hop broadcast in wireless networks with one source node and multiple receiving nodes. The message flow from the source to the receivers can be modeled as a tree-graph, called broadcast-tree. The problem of finding the minimum-power broadcast-tree (MPBT) is NP-complete. Unlike most of the existing centralized approaches, we propose a decentralized algorithm, based on a non-cooperative cost-sharing game. In this game, every receiving node, as a player, chooses another node of the network as its respective transmitting node for receiving the message. Consequently, a cost is assigned to the receiving node based on the power imposed on its chosen transmitting node. In our model, the total required power at a transmitting node consists of (i) the transmit power and (ii) the circuitry power needed for communication hardware modules. We develop our algorithm using the marginal contribution (MC) cost-sharing scheme and show that the optimum broadcast-tree is always a Nash equilibrium (NE) of the game. Simulation results demonstrate that our proposed algorithm outperforms conventional algorithms for the MPBT problem. Besides, we show that the circuitry power, which is usually ignored by existing algorithms, significantly impacts the energy-efficiency of the network.
机译:我们研究具有一个源节点和多个接收节点的无线网络中的多跳广播。从源到接收者的消息流可以建模为树图,称为广播树。寻找最小功率广播树(MPBT)的问题是NP完成的。与大多数现有的集中化方法不同,我们提出了一种基于非合作成本分担博弈的分散算法。在这个游戏中,每个接收节点,作为玩家,选择网络的另一个节点作为其各自的发送节点,以接收消息。因此,基于施加在接收节点选择的发射节点上的功率将成本分配给接收节点。在我们的模型中,传输节点上的总所需功率由(i)传输功率和(ii)通信硬件模块所需的电路功率组成。我们使用边际贡献(MC)成本共享方案开发了算法,并表明最优广播树始终是游戏的纳什均衡(NE)。仿真结果表明,我们提出的算法优于传统算法的MPBT问题。此外,我们证明了现有算法通常忽略的电路功率会显着影响网络的能源效率。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号