传感器网络中节能骨干结构、广播和区域覆盖

D. Simplot-Ryl, I. Stojmenovic, Jie Wu
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引用次数: 92

摘要

骨干是传感器的一个子集,它足以执行指定的任务。确切的定义取决于主干的任务或特定的理想属性。我们讨论了两种特定类型的骨干,邻居和区域支配集,我们认为这是必不可少的骨干,也许是传感器网络所需要的唯一骨干。如果一个传感器位于骨干网络中,或者是骨干网络中某个传感器的邻居,则该传感器被骨干网络覆盖。这种类型的主干在这里被称为邻居支配集,或者简单地称为支配集。监测区域内的点如果在来自该骨干的至少一个传感器的传感范围内,则由传感器骨干覆盖。这种类型的主干称为区域支配集。在广播(也称为数据传播)任务中,消息从一个节点(可能是监视中心)发送到网络中的所有节点。传感器随机放置在一个区域,决定哪些应该处于活动状态并监控该区域,哪些可能处于睡眠状态并在稍后的时间变得活跃。通信连接很重要,这样测量数据才能报告到监控中心。这个问题被称为传感器区域覆盖问题,需要有效地解决,以使传感器长时间工作。传感器也可以确定地放置在一个区域,以优化覆盖范围并降低功耗。本章中考虑的大多数解决方案都是基于
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy-Efficient Backbone Construction, Broadcasting, and Area Coverage in Sensor Networks
A backbone is a subset of sensors that is sufficient for performing assigned tasks. The exact definition depends on the task or the particular desirable properties of a backbone. We discuss two specific kinds of backbones, neighbor and area dominating sets, that we believe are the essential and perhaps only backbones required for sensor networks. A sensor is covered by a backbone if it is in the backbone or is a neighbor to a sensor in the backbone. This type of backbone is referred to here as neighbor-dominating sets, or simply dominating sets. A point within a monitoring area is covered by a sensor backbone if it is within sensing range of at least one sensor from the backbone. This type of backbone is called area-dominating set. In a broadcasting (also known as data-dissemination) task, a message is sent from one node, which could be a monitoring center, to all nodes in the network. Sensors, which are randomly placed in an area, decide which of them should be active and monitor an area, and which of them may sleep and become active at a later time. The communication connectivity is important so that the measured data can be reported to a monitoring center. This problem is known as the sensor-area coverage problem, and needs to be solved efficiently to enable sensor functioning for a prolonged time. Sensors may also be placed deterministically in an area to optimize coverage and reduce power consumption. Most solutions considered in this chapter are based
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