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QoS-Based Web Service Discovery in Mobile Ad Hoc Networks Using Swarm Strategies

机译:使用群策略的移动自组织网络中基于QoS的Web服务发现

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Mobile ad hoc networks are noncentralised, multihop, wireless networks that lack a common infrastructure and hence require self-organisation. Their infrastructureless and dynamic nature entails the implementation of a new set of networking technologies in order to provide efficient end-to-end communication according to the principles of the standard TCP/IP suite. Routing, IP address autoconfiguration and Web service discovery are among the most challenging tasks in the ad hoc network domain. Swarm intelligence is a relatively new approach to problem solving that takes inspiration from the social behaviours of insects, such as ants and bees. Self-organization, decentralization, adaptivity, robustness, and scalability make swarm intelligence a successful design paradigm for the above-mentioned problems. In this paper we proposeBeeAdHocServiceDiscovery, a new service discovery algorithm based on the bee metaphor, which also takes into account quality metrics estimates. The protocol has been specifically designed to work in mobile ad hoc network scenarios operating withBeeadhoc, a well-known routing algorithm inspired by nature. We present both the protocol strategy and the formal evaluation of the discovery overhead and route optimality metrics showing thatBeeAdHocServiceDiscoveryguarantees valuable performances even in large scale ad hoc wireless networks. Eventually, future research suggestions are sketched.
机译:移动自组织网络是缺乏集中式基础结构的非集中式多跳无线网络,因此需要自组织。它们的无基础架构和动态特性要求实施一套新的联网技术,以便根据标准TCP / IP套件的原理提供有效的端到端通信。路由,IP地址自动配置和Web服务发现是ad hoc网络域中最具挑战性的任务。群智能是解决问题的一种相对较新的方法,它从昆虫的社会行为(如蚂蚁和蜜蜂)中获得启发。自组织,分散,适应性,鲁棒性和可伸缩性使群体智能成为上述问题的成功设计范例。在本文中,我们提出了BeeAdHocServiceDiscovery,这是一种基于蜜蜂隐喻的新服务发现算法,该算法还考虑了质量指标估计。该协议经过专门设计,可在由Beeadhoc(一种受自然启发的著名路由算法)运行的移动自组网场景中工作。我们同时介绍了协议策略以及对发现开销和路由最佳度量的形式化评估,表明即使在大规模自组织无线网络中,BeeAdHocServiceDiscovery也可确保有价值的性能。最终,将勾勒出未来的研究建议。

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