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Movement-Assisted Sensor Deployment Algorithms: A Survey and Taxonomy

机译：运动辅助传感器部署算法：调查和分类法

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摘要

One of the fundamental design issues in mobile wireless sensor networks is how to design efficient movement-assisted sensor deployment algorithms that relocate the sensor nodes in order to meet the desired performance goals. This survey focuses on a variety of movement-assisted sensor deployment algorithms that have been proposed and studied by researchers and highlights their strengths and limitations. The various models, assumptions, objectives, and constraints are identified, and the different formulations are enumerated. A taxonomy of movement-assisted sensor deployment algorithms that captures the fundamental differences among existing solutions is introduced. Six classes of approaches are identified, each one of them uses a specific principle to relocate the nodes from their initial position to a new target position. The proposed taxonomy is used to provide an exhaustive classification of existing approaches. For each identified class, various self-deployment algorithms are discussed. Furthermore, comparisons between the different algorithms and also between the different classes are performed, therefore providing not only a complete view of the state-of-the-art but also useful insights for selecting the self-deployment algorithm most appropriate to the application at hand. This paper also highlights open problems in this area of research.
机译：移动无线传感器网络中的基本设计问题之一是如何设计有效的运动辅助传感器部署算法，该算法会重新放置传感器节点，以满足所需的性能目标。这项调查着重于研究人员提出和研究的各种运动辅助传感器部署算法，并强调了它们的优势和局限性。确定了各种模型，假设，目标和约束，并列举了不同的表述。介绍了一种运动辅助传感器部署算法的分类法，该算法捕获了现有解决方案之间的根本差异。确定了六类方法，每种方法都使用一种特定的原理将节点从其初始位置重新定位到新的目标位置。拟议的分类法用于对现有方法进行详尽的分类。对于每个确定的类别，讨论了各种自部署算法。此外，还进行了不同算法之间以及不同类之间的比较，因此，不仅可以提供最新技术的完整视图，还可以提供有用的见解，以选择最适合当前应用程序的自部署算法。 。本文还重点介绍了该研究领域中的开放性问题。

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