移动自组织网络中独立于协议的数据包传送改进服务

Chien-Chung Shen, Sundaram Rajagopalan
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引用次数: 3

摘要

本文研究了在移动自组织网络中改进多播分组传输的问题,并提出了一种称为协议无关分组传输改进服务(PIDIS)的可靠性改进机制来恢复丢失的分组。PIDIS是一种非持久性的、尽最大努力的可靠性改进服务,它利用群体智能机制,对从何处获取丢失的数据包做出智能决策。PIDIS利用了概率路由的优点,并能很好地适应移动性。PIDIS实现了概率可靠性,并且与其他基于八卦的方案不同,它不需要维护组成员的信息,从组成员中检索丢失的数据包。此外,PIDIS不依赖于任何底层路由协议或原语,可以合并到任何(不可靠的)特设多播路由协议中。最后,由于PIDIS是非持久化的,所以当没有丢失的消息需要恢复时,它不会产生任何开销。我们将PIDIS纳入ODMRP,并将其与在ODMRP和ODMRP上实现的匿名八卦(AG)进行比较。我们的仿真结果表明,在大多数情况下,PIDIS+ODMRP在分组传输、端到端延迟和MAC层开销方面比AG+ODMRP和ODMRP更有效,性能更好。我们将PIDIS+ODMRP更好的性能和更低的MAC开销归因于使用群体智能技术实现的高效八卦。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Protocol-independent packet delivery improvement service for mobile ad hoc networks
This paper addresses the issue of improving packet delivery for multicast in mobile, ad hoc networks and proposes a reliability improvement mechanism called protocol-independent packet delivery improvement service (PIDIS) to recover lost packets. PIDIS is a non-persistent, best-effort reliability improvement service that exploits the mechanism of swarm intelligence to make intelligent decisions about whence to fetch the lost packets. PIDIS employs the beneficial aspects of probabilistic routing and adapts well to mobility. PIDIS achieves probabilistic reliability and, unlike other gossip-based schemes, does not need to maintain information about group members from which lost packets are retrieved. Further PIDIS does not rely on any underlying routing protocol or primitive, and can be incorporated into any (unreliable) ad hoc multicast routing protocol. Lastly, because PIDIS is non-persistent, it does not incur any overhead when there is no lost message to be recovered. We incorporated PIDIS into ODMRP, and compared it against anonymous gossip (AG) implemented over ODMRP, and ODMRP. Our simulation results show that PIDIS+ODMRP in most cases, is more efficient and performs better than AG+ODMRP and ODMRP in terms of packet delivery, end-to-end delay and MAC layer overheads. We attribute the better performance and lower MAC overheads of PIDIS+ODMRP to the efficient gossiping made possible by using swarm intelligence techniques.
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