Experiment Design for Parameter Estimation in Probabilistic Sensing Models

被引：43

作者：

Shakhov, Vladimir V. ^{[1
]}

Koo, Insoo ^{[2
]}

机构：

[1] Univ Ulsan, Automobile Ship Elect Convergence Ctr, Ulsan 680749, South Korea

[2] Univ Ulsan, Sch Elect Engn, Ulsan 680749, South Korea

来源：

IEEE SENSORS JOURNAL | 2017年 / 17卷 / 24期

基金：

新加坡国家研究基金会;

关键词：

Design for experiments; event detection; sensors; WIRELESS SENSOR NETWORKS; COVERAGE;

D O I：

10.1109/JSEN.2017.2766089

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, the problem of quality improvement for sensing models in various applications is considered. A choice of sensing model strongly influences the design of wireless sensor networks and the performance of protocols, such as traffic aggregation, broadcasting, energy-efficient routing, target or barrier coverage, and so on. For these reasons, it is useful to investigate the nature of the sensing ability and the manner in which it depends on the characteristics of wireless sensor networks. This paper investigates the impact of experiment design on the evaluation of sensing quality function. This paper provides an approach to a statistically efficient estimation of sensing model parameters.

引用

页码：8431 / 8437

页数：7

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