Effective Use of Channel Capacity in a Sensor Network

被引：0

作者：

Darcy, Steven ^{[1
]}

Hintz, Kenneth J. ^{[2
]}

机构：

[1] George Mason Univ, Syst Engn & Operat Res Dept, Fairfax, VA 22030 USA

[2] George Mason Univ, Dept Elect & Comp Engn, Fairfax, VA 22030 USA

来源：

2019 IEEE 15TH INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA) | 2019年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

While Shannon information theory deals with the optimum coding of data in a bandwidth and signal to noise ratio (SNR) constrained communications channel, he provides no guidance on what data to transmit through the channel. With the increased demand for information from networked sensors, we propose the use of expected information value rate (EIVR) as the criterion to maximize the usage of the effective channel capacity in an information constrained channel. This criterion, utilizing the concepts of both situation information and sensor information, is able to determine which information to acquire as well as the sensor which has the best next collection opportunity to obtain that information.

引用

页码：1447 / 1452

页数：6

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