Enhancing RSSI-based tracking accuracy in wireless sensor networks

Author:

Blumrosen Gaddi1,Hod Bracha1,Anker Tal1,Dolev Danny1,Rubinsky Boris2

Affiliation:

1. The Hebrew University of Jerusalem, Israel

2. The Hebrew University of Jerusalem and University of California, Berkeley, CA

Abstract

In recent years, the demand for high-precision tracking systems has significantly increased in the field of Wireless Sensor Network (WSN). A new tracking system based on exploitation of Received Signal Strength Indicator (RSSI) measurements in WSN is proposed. The proposed system is designed in particular for WSNs that are deployed in close proximity and can transmit data at a high transmission rate. The close proximity and an optimized transmit power level enable accurate conversion of RSSI measurements to range estimates. Having an adequate transmission rate enables spatial-temporal correlation between consecutive RSSI measurements. In addition, advanced statistical and signal processing methods are used to mitigate channel distortion and to compensate for packet loss. The system is evaluated in indoor conditions and achieves tracking resolution of a few centimeters which is compatible with theoretical bounds.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications

Cited by 38 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Comprehensive Study on BLE Enabled IoT Based Tracking System (BITS) for Indoor Environment;2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2024-01-04

2. The Principle, Methods and Recent Progress in RFID Positioning Techniques: A Review;IEEE Journal of Radio Frequency Identification;2023

3. Dynamic Resource Allocation and Forecast of Snow Tourism Demand Based on Multiobjective Optimization Algorithm;Computational Intelligence and Neuroscience;2022-06-03

4. Survey of Existing RSSI-Based L&T Systems;Received Signal Strength Based Target Localization and Tracking Using Wireless Sensor Networks;2021-07-29

5. A CPSO Algorithm for Optimization of Wireless Sensor Network Positioning;International Journal of Circuits, Systems and Signal Processing;2020-11-04

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3