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摘要:
This paper analyzes the implementation of an algorithm into a FPGA embedded and distributed target location method using the Received Signal Strength Indicator (RSSI). The objective is to show a method in which an embedded feedforward Artificial Neural Network (ANN) can estimate target location in a distributed fashion against anchor failure. We discuss the lack of FPGA implementation of equivalent methods and the benefits of using a robust platform. We introduce the description of the implementation and we explain the operation of the proposed method, followed by the calculated errors due to inherent Elliott function approximation and the discretization of decimal values used as free parameters in ANN. Furthermore, we show some target location estimation points in function of different numbers of anchor failures. Our contribution is to show that an FPGA embedded ANN implementation, with a few layers, can rapidly estimate target location in a distributed fashion and in presence of failures of anchor nodes considering accuracy, precision and execution time.
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篇名 Distributed Target Location in Wireless Sensors Network: An Approach Using FPGA and Artificial Neural Network
来源期刊 无线传感网络(英文) 学科 医学
关键词 Wireless SENSORS NETWORK RSSI FPGA Artificial Neural NETWORK DISTRIBUTED Localization Methods
年,卷(期) 2015,(5) 所属期刊栏目
研究方向 页码范围 35-42
页数 8页 分类号 R73
字数 语种
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研究主题发展历程
节点文献
Wireless
SENSORS
NETWORK
RSSI
FPGA
Artificial
Neural
NETWORK
DISTRIBUTED
Localization
Methods
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相关学者/机构
期刊影响力
无线传感网络(英文)
月刊
1945-3078
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
358
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0
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0
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