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Efficient deployment algorithms for mobile sensor networks

机译:移动传感器网络的高效部署算法

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Sensor deployment problem is one of the important problems in Wireless Sensor Networks (WSN) since it represents the first phase that most of the network operations depends on. Sensor deployment strategies can be classified into two classes which are deterministic and autonomous (random) deployment. In the deterministic deployment, the deployment field is assumed accessible as well as the number of sensors is small to be manually deployed in specific locations. On the other hand, with large number of sensors and in inaccessible fields, the random deployment to the sensors turns out to be the solution. However, random deployment requires sensors to be automatically located (move) for coverage and connectivity purposes. In addition, after a period of time, the sensors topology might change due to some sensor hardware failure or deplaned energy. Therefore, redeployment and/or sensors relocation process is essential. Nevertheless, mobility consumed energy as well as sensor load balancing are essential factors to be considered during the initial deployment and relocation processes. This paper proposes two deployment algorithms to manage those situations. Those algorithms achieve sensor energy balancing and small amount of deployment energy consumption. A set of simulation experiments are conducted to compare between the proposed algorithm and the existing work in terms of coverage performance, average moving distance, and message complexity.
机译:传感器部署问题是无线传感器网络(WSN)中的重要问题之一,因为它代表了大多数网络操作所依赖的第一阶段。传感器部署策略可以分为确定性部署和自主(随机)部署两类。在确定性部署中,假定部署字段是可访问的,并且传感器的数量很小,可以在特定位置手动部署。另一方面,在传感器数量众多且无法访问的领域中,将传感器随机部署是解决方案。但是,随机部署需要自动定位(移动)传感器以实现覆盖和连接目的。此外,一段时间后,由于某些传感器硬件故障或能量消耗过大,传感器拓扑可能会发生变化。因此,重新部署和/或传感器重定位过程至关重要。尽管如此,机动性消耗的能量以及传感器负载平衡是在初始部署和重新安置过程中必须考虑的重要因素。本文提出了两种部署算法来管理这些情况。这些算法实现了传感器能量平衡和少量的部署能耗。进行了一组模拟实验,以在覆盖性能,平均移动距离和消息复杂度方面比较所提出的算法和现有工作。

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