大规模移动自组网中的服务定位
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Service Locating for Large-Scale Mobile Ad Hoc Network
Jiangchuan Liu1, Qian Zhang2, Wenwu Zhu2 , Bo Li1
1 Department of Computer Science, The Hong Kong University of Science and Technology
{csljc,bli}@ust.hk
2 Wireless and Networking Group, Microsoft Research, Asia
{qianz,wwzhu}@microsoft.com
Abstract –In a mobile ad hoc network, an efficient service discovery system is needed to locate various service providers. However, because an ad hoc network has no fixed topology, its service locating is quite different from traditional schemes for the Internet. In this paper, we present a novel service locating system specifically designed for large-scale mobile ad hoc networks. In our system, a subset of nodes are dynamically elected and self-organized into a Virtual Backbone (VB). These VB-nodes manage the directory information of services and monitor path QoS on behalf of end users. Such information is then used to direct the selection of appropriate providers. We evaluate the performance of our system through simulation. The result demonstrates that proposed locating system greatly improves the QoS delivery while maintaining reasonably low cost.
Jiangchuan Liu1, Qian Zhang2, Wenwu Zhu2 , Bo Li1
1 Department of Computer Science, The Hong Kong University of Science and Technology
{csljc,bli}@ust.hk
2 Wireless and Networking Group, Microsoft Research, Asia
{qianz,wwzhu}@microsoft.com
Abstract –In a mobile ad hoc network, an efficient service discovery system is needed to locate various service providers. However, because an ad hoc network has no fixed topology, its service locating is quite different from traditional schemes for the Internet. In this paper, we present a novel service locating system specifically designed for large-scale mobile ad hoc networks. In our system, a subset of nodes are dynamically elected and self-organized into a Virtual Backbone (VB). These VB-nodes manage the directory information of services and monitor path QoS on behalf of end users. Such information is then used to direct the selection of appropriate providers. We evaluate the performance of our system through simulation. The result demonstrates that proposed locating system greatly improves the QoS delivery while maintaining reasonably low cost.
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