基于重叠的视觉传感器网络能量感知节点协同优化

H. Kenchannavar, U. Kulkarni
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引用次数: 3

摘要

在多层视觉传感器网络中,节点通信面临的约束是水平协作和有限的视觉传感器网络寿命。在视觉传感器节点之间的水平通信过程中,需要选择具有或多或少共同视场的区域内相邻节点的数量,以减少传输到基站的冗余信息。本文介绍了一种基于重叠的能量感知方法,用于选择将图像传输到基站的节点。这种新方法有助于提高视觉传感器网络的处理效率和寿命。采用该方法进行的分析表明,网络寿命提高了70%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimized overlapping based energy-aware node collaboration in visual sensor networks
In multitier visual sensor networks, the constraints faced during node communication is horizontal collaboration and limited life time of visual sensor networks. During horizontal communication between the visual sensor nodes, there is a need for selecting the number of neighboring nodes in the region having more or less common field of view to reduce the redundant information transmitted to the base station. This work introduces an overlapping based energy aware approach for selecting the node which will be transmitting the image to the base station. This novel approach helps in efficient processing and to increase the life time of visual sensor networks. Analysis carried out with the proposed approach shows that the network lifetime increases by 70%.
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