计算机应用 ›› 2010, Vol. 30 ›› Issue (12): 3164-3167.

• 网络与通信 • 上一篇    下一篇

基于服务评价管理的自组织网络数据共享机制

周雪梅1,潘多2,王博辉2   

  1. 1. 四川工商职业技术学院
    2.
  • 收稿日期:2010-05-14 修回日期:2010-07-16 发布日期:2010-12-22 出版日期:2010-12-01
  • 通讯作者: 周雪梅

Ad Hoc network data sharing mechanism based on service evaluation management

  • Received:2010-05-14 Revised:2010-07-16 Online:2010-12-22 Published:2010-12-01

摘要: 为了解决移动自组织网络中路由路径必须至少有一条完整路径的限制,以及数据信息的安全和共享,节点存储负载等问题,提出了基于节点疏密度的动态路由算法。并对网络中的缓存资源提出了基于服务评价管理的共享机制,使网络在节点疏密度不同时,仍然能够提供安全、优质的服务。在该机制中,当移动节点发送通信申请时,对网络中的邻域节点所持有的信息进行考核,满足通信条件的节点信息进行交互,服务结束后,参与节点对其服务进行评价,并将数据和服务评价存储于邻域节点;当节点疏密度降低时,发送代理缓存请求给就近节点,就近节点作为代理节点提供相应的数据服务;对缓存资源中服务评价低于用户安全需求的数据信息进行更新删除。该机制有效地提高了移动自组织网络的数据安全性和网络健壮性,减少了带宽通信和数据存储空间的压力。

关键词: 移动自组织网络, 机会网络, 疏密度, 服务评价, 共享机制

Abstract: In order to solve the limit of route in Ad Hoc networks to that there must be at least a full path and to realize safety and sharing of data, load balance of node storage, etc. a dynamic routing algorithm based on node density was proposed. A resource sharing mechanism based on service evaluation management was put forward for sharing cache resources in the networks, which could provide safe and good services when the densities of nodes are different. In the mechanism, when the mobile node sends communication request, the information possessed by neighbor nodes was audited, and only information possessed by the qualified nodes was interacted. After the service ended, it was evaluated by the participated nodes, and the data and service evaluation were stored in the neighbor nodes. When the density of proxy node decreased, it sent caching request to its neighbor, and then the neighbor would provide the corresponding data service as a proxy node. The information in the cache resource which service evaluation was below the users security demand would be updated and deleted. This mechanism effectively improves the data security and network robustness of Ad Hoc networks, and reduces the bandwidth communication and data storage space.

Key words: Ad Hoc network, opportunity network, sparse density, service evaluation, sharing mechanism