传感器网络任务分配分类学研究

D. Pizzocaro, A. Preece
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引用次数: 9

摘要

传感器网络通常由大量不同类型的传感设备组成。这些可以从功能有限的非常简单的传感器(如mote)到非常复杂的系统(如无人机)。在现场部署后,这些不同的传感器使用无线链路或电缆形成一个特设网络,相互通信并与数据处理中心通信。考虑到传感设备可以是静态的也可以是移动的,并且传感器可能会失效或损坏,很明显,网络配置必须是高度动态的。一个已经部署的传感器网络通常需要支持多个不同类型的传感任务同时完成。感知任务可能会共享感知资源的使用,但更多时候它们会竞争独占控制该资源。例如,考虑图1的搜索和救援场景,其中传感器网络必须支持识别任务(需要救援的人),同时还要支持广域监视任务(检测可能对受伤人员的生命构成的威胁)。如果只有一架无人机可以分配给一项任务,那么要回答的问题是:“把这架无人机送到哪里更好?”
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a Taxonomy of Task Allocation in Sensor Networks
A sensor network often consists of a large number of sensing devices of different types. These can vary from very simple sensors with limited capabilities such as motes, to very complex systems such as Unmanned Aerial Vehicles (UAV). Upon deployment in the field, these different sensors form an ad hoc network using wireless links or cables to communicate with each other and with data processing centres. Given that sensing devices can be static or mobile, and that sensors may fail or be damaged, it is clear that the network configuration must be highly dynamic. An already deployed sensor network is usually required to support multiple sensing tasks of different types to be accomplished simultaneously. Sensing tasks might share the usage of a sensing resource, but more often they compete to exclusively control it. Consider for example the search-and-rescue scenario of Figure 1, where the sensor network has to support an identification task (of people in need of rescue), and at the same time a wide area surveillance task (to detect possible threats to the life of the injured people). If only one UAV is available to be allocated to a task, the question to answer is: “Where is it better to send that particular UAV?”.
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