首页> 外文期刊>Journal of Parallel and Distributed Computing >A mobility-aware approach for distributed data update on unstructured mobile P2P networks
【24h】

A mobility-aware approach for distributed data update on unstructured mobile P2P networks

机译:一种用于非结构化移动P2P网络上的分布式数据更新的移动感知方法

获取原文
获取原文并翻译 | 示例

摘要

In unstructured mobile peer-to-peer systems (MP2P), the frequent link breakages lead frequent topology mismatching problems and data transmission failures due to high mobility of nodes. The overhead of data transmission and synchronization cannot be neglected. In order to keep the data consistent, flooding is a fundamental and straightforward data synchronization mechanism since a mobile node does not know which else has the same shared data item. However, data flooding causes the broadcast storm problem. In this paper, we propose a mobility-aware data update approach (MADU) to improve the data dissemination and to reduce the overhead of maintaining the consistency of shared data items in an MP2P network. We use safe-time which is derived from the neighbor's location and speed to determine the time for a node to do the checking and updating between the neighbor nodes and itself. We also consider the network connectivity of a mobile node and access frequency of a data item as the factors to trigger the update process. By combining the mobility information of nodes, network connectivity, and access frequency of data items, we set a reasonable data update mechanism, which can significantly decrease the number of retransmissions and redundant messages so as to reduce the overhead of maintaining the data consistency. (C) 2018 Elsevier Inc. All rights reserved.
机译:在非结构化移动对等系统(MP2P)中,由于节点的高移动性,频繁的链路中断会导致频繁的拓扑不匹配问题和数据传输失败。数据传输和同步的开销不可忽略。为了保持数据的一致性,泛洪是一种基本而直接的数据同步机制,因为移动节点不知道还有哪些共享数据项相同。但是,数据泛滥会导致广播风暴问题。在本文中,我们提出了一种移动感知数据更新方法(MADU),以改善数据分发并减少维护MP2P网络中共享数据项一致性的开销。我们使用从邻居的位置和速度得出的安全时间来确定节点在邻居节点与其自身之间进行检查和更新的时间。我们还将移动节点的网络连接性和数据项的访问频率视为触发更新过程的因素。通过结合节点的移动性信息,网络连通性和数据项的访问频率,我们设置了合理的数据更新机制,可以显着减少重传和冗余消息的数量,从而减少维护数据一致性的开销。 (C)2018 Elsevier Inc.保留所有权利。

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