.png){kind=icon}
返回
Energy-efficient WiFi scanning for localization
.png){kind=icon}
PRE
AI
DOI：10.1016/j.pmcj.2016.07.005.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
WiFi radio signals are commonly used for the localization of mobile devices. However, frequent scanning of WiFi reduces user experiences because it consumes significant energy on mobile devices. In this paper, we propose an energy-efficient WiFi scan system for localization. The proposed system preserves the quality of service of each application and minimizes the energy consumption of WiFi, scanning. The main idea is that the system adaptively controls the dwell time of beacon-listening in given locations. We predict the number of scanned access points (APs) according to locations and optimize the dwell time of beacon-listening to obtain the minimum number of scanned APs. The evaluation shows that the proposed system saves the energy consumption of WiFi scans by 33.6% and 45.7%, according to the number of scanned APs, while not decreasing the accuracy of localization in indoor and outdoor scenarios. (C) 2016 Elsevier B.V. All rights reserved.
Keyword:
Indoor localization
WiFi fingerprinting
Energy saving
WPS
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.5
论文数:
1.5K
被引数:
2.2K
机构
引用论文
A randomized Phase II study of interleukin-2 with and without beta-interferon for patients with advanced non-small cell lung cancer.png)
Lung Cancer
Lung CancerIF0
PREAI
分享收藏
查看更多内容