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Distributed deployment algorithms for mobile wireless sensor networks.

机译:用于移动无线传感器网络的分布式部署算法。

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Many visions of the future include people immersed in an environment surrounded by sensors and intelligent devices who use smart infrastructures to improve the quality of life and safety in emergency situations. Ubiquitous communication enables these sensors or intelligent devices to communicate with each other and to or with the user by means of ad-hoc wireless networking. Organization and optimization of network resources are essential to provide ubiquitous communication for a longer duration in large-scale networks and are helpful to migrate intelligence from higher and remote levels to lower and local levels. In this dissertation, we propose distributed energy-efficient deployment algorithms for mobile sensors and intelligent devices that form an intelligent wireless network. These algorithms employ a synergistic combination of cluster structuring and a peer-to-peer deployment scheme. An energy-efficient deployment algorithm based on Voronoi diagrams is also proposed here. Performance of our algorithms is evaluated in terms of coverage, uniformity, and time and distance traveled till the algorithm converges. Our algorithms are shown to exhibit excellent performance.
机译:未来的许多愿景包括浸没在传感器和智能设备所包围的环境中的人们,他们使用智能基础设施来改善紧急情况下的生活质量和安全性。无处不在的通信使这些传感器或智能设备可以通过自组织无线网络相互通信,并可以与用户通信。网络资源的组织和优化对于在大型网络中提供较长时间的无处不在的通信至关重要,并且有助于将情报从较高和较低级别迁移到较低和本地级别。本文针对构成智能无线网络的移动传感器和智能设备提出了分布式节能部署算法。这些算法采用了集群结构和对等部署方案的协同组合。本文还提出了一种基于Voronoi图的节能部署算法。我们会根据覆盖范围,均匀性以及算法收敛之前经过的时间和距离来评估我们算法的性能。我们的算法显示出出色的性能。

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