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利用优先级时无线视觉传感器网络的研究趋势。

Research trends in wireless visual sensor networks when exploiting prioritization.

作者信息

Costa Daniel G, Guedes Luiz Affonso, Vasques Francisco, Portugal Paulo

机构信息

DTEC-UEFS, State University of Feira de Santana, Feira de Santana 44036-900, Brazil.

DCA-CT-UFRN, Federal University of Rio Grande do Norte, Natal 59072-970, Brazil.

出版信息

Sensors (Basel). 2015 Jan 15;15(1):1760-84. doi: 10.3390/s150101760.

DOI:10.3390/s150101760
PMID:25599425
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4327102/
Abstract

The development of wireless sensor networks for control and monitoring functions has created a vibrant investigation scenario, where many critical topics, such as communication efficiency and energy consumption, have been investigated in the past few years. However, when sensors are endowed with low-power cameras for visual monitoring, a new scope of challenges is raised, demanding new research efforts. In this context, the resource-constrained nature of sensor nodes has demanded the use of prioritization approaches as a practical mechanism to lower the transmission burden of visual data over wireless sensor networks. Many works in recent years have considered local-level prioritization parameters to enhance the overall performance of those networks, but global-level policies can potentially achieve better results in terms of visual monitoring efficiency. In this paper, we make a broad review of some recent works on priority-based optimizations in wireless visual sensor networks. Moreover, we envisage some research trends when exploiting prioritization, potentially fostering the development of promising optimizations for wireless sensor networks composed of visual sensors.

摘要

用于控制和监测功能的无线传感器网络的发展创造了一个活跃的研究场景,在过去几年里,许多关键课题,如通信效率和能源消耗,都得到了研究。然而,当传感器配备低功耗摄像头用于视觉监测时,就会出现新的挑战领域,需要新的研究努力。在这种情况下,传感器节点资源受限的特性要求使用优先级排序方法作为一种实用机制,以降低无线传感器网络上视觉数据的传输负担。近年来,许多工作都考虑了局部层面的优先级参数,以提高这些网络的整体性能,但全局层面的策略在视觉监测效率方面可能会取得更好的结果。在本文中,我们对无线视觉传感器网络中基于优先级的优化方面的一些近期工作进行了广泛综述。此外,我们设想了在利用优先级排序时的一些研究趋势,这可能会促进由视觉传感器组成的无线传感器网络有前景的优化发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0a4/4327102/4d12fab96c83/sensors-15-01760f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0a4/4327102/72c07a01e4d8/sensors-15-01760f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0a4/4327102/4d12fab96c83/sensors-15-01760f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0a4/4327102/72c07a01e4d8/sensors-15-01760f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0a4/4327102/4d12fab96c83/sensors-15-01760f2.jpg

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