首页> 外文会议>IEEE Wireless Communications and Networking Conference >Distributed data aggregation in machine-to-machine communication networks based on coalitional game
【24h】

Distributed data aggregation in machine-to-machine communication networks based on coalitional game

机译:基于联盟博弈的机对机通信网络中的分布式数据聚合

获取原文

摘要

Machine-to-machine (M2M) communications have emerged as a flourishing technology for next-generation communications, and are undergoing rapid development while inspiring numerous applications. However, unique features of M2M communications, such as the massive number of machine type devices (MTD) and delay sensitive applications require specific considerations. To enhance the communication efficiency with delay sensitive short messages, a key strategy is to utilize data aggregation. To facilitate an efficient distributed data aggregation among MTDs with different urgency levels, we propose a game theoretic mechanism based on the coalitional game. Through the proposed algorithm, MTDs autonomously collaborate and self-organize into disjoint independent and stable coalitions, and send their data through a coalition head known as the aggregator. Within each coalition, the utility of the users is defined in such a way that maximum cooperation is compelled. Finally, we discuss the stability of the resulting network structure, and analyse the performance of the proposed scheme.
机译:机器到机器(M2M)通信已成为下一代通信的繁荣技术,并正在进行快速发展,同时鼓励众多应用。然而,M2M通信的独特特征,例如大量的机器类型设备(MTD)和延迟敏感应用需要特定的考虑。为了提高具有延迟敏感的短消息的通信效率,一个关键策略是利用数据聚合。为了促进具有不同紧急级别的MTD之间有效的分布式数据聚集,我们提出了一种基于外立游戏的游戏理论机制。通过所提出的算法,MTDS自主地协作和自组织成不相交的独立和稳定的联盟,并通过被称为聚合器的联盟头发送他们的数据。在每个联盟中,用户的效用是以最大合作所在的方式定义的。最后,我们讨论了所得网络结构的稳定性,并分析所提出的方案的性能。

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