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A Mobile-Directory Approach to Service Discovery in Wireless Ad Hoc Networks

机译:无线自组织网络中用于服务发现的移动目录方法

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We present the Service Directory Placement Algorithm (SDPA), a directory-placement scheme that leverages the performance of existing service discovery protocols over wireless ad-hoc networks. SDPA promotes the deployment of a nomadic service directory, whose current location in the network varies according to the dynamics of service-discovery queries driven by the users'''' applications and partial knowledge of the network''''s topology. SDPA is based on a heuristic approach, whose performance is optimized by formulating the directory-placement problem as a Semi-Markov Decision Process solved by means of a reinforcement-learning technique known as Q-Learning. Performance evaluations obtained through computer simulations of networks with up to 45 hosts moving at pedestrian walking speeds equal to or slower than 2 m/s reveal average bandwidth savings close to 50% over a default broadcast approach for service discovery once an efficient directory-placement policy is found.
机译:我们提出了服务目录放置算法(SDPA),这是一种目录放置方案,可利用无线ad-hoc网络上现有服务发现协议的性能。 SDPA促进了漫游服务目录的部署,该目录在网络中的当前位置根据用户应用程序驱动的服务发现查询的动态以及对网络拓扑的部分了解而有所不同。 SDPA基于启发式方法,通过将目录放置问题公式化为半马尔可夫决策过程来优化其性能,该过程通过一种称为Q学习的强化学习技术来解决。通过对多达45台主机以等于或低于2 m / s的行人步行速度移动的网络进行计算机仿真而获得的性能评估表明,一旦采用有效的目录放置策略,与默认的广播服务发现方式相比,平均带宽节省将近50%被发现。

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