International Conference on Embedded Wireless Systems and Networks (EWSN) ...最新文献

SuperRF: Enhanced 3D RF Representation Using Stationary Low-Cost mmWave Radar. SuperRF:使用固定式低成本毫米波雷达增强3D射频表示。

International Conference on Embedded Wireless Systems and Networks (EWSN) ... Pub Date : 2020-02-01

Shiwei Fang, Shahriar Nirjon

{"title":"SuperRF: Enhanced 3D RF Representation Using Stationary Low-Cost mmWave Radar.","authors":"Shiwei Fang, Shahriar Nirjon","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>This paper introduces SuperRF- which takes radio frequency (RF) signals from an off-the-shelf, low-cost, 77GHz mmWave radar and produces an enhanced 3D RF representation of a scene. SuperRF is useful in scenarios where camera and other types of sensors do not work, or not allowed due to privacy concerns, or their performance is impacted due to bad lighting conditions and occlusions, or an alternate RF sensing system like synthetic aperture radar (SAR) is too large, inconvenient, and costly. Applications of SuperRF includes navigation and planning of autonomous and semi-autonomous systems, human-robot interactions and social robotics, and elderly and/or patient monitoring in-home healthcare scenarios. We use low-cost, off-the-shelf parts to capture RF signals and to train SuperRF. The novelty of SuperRF lies in its use of deep learning algorithm, followed by a compressed sensing-based iterative algorithm that further enhances the output, to generate a fine-grained 3D representation of an RF scene from its sparse RF representation - which a mmWave radar of the same class cannot achieve without instrumenting the system with large sized multiple antennas or physically moving the antenna over a longer period in time. We demonstrate the feasibility and effectiveness through an in-depth evaluation.</p>","PeriodicalId":93008,"journal":{"name":"International Conference on Embedded Wireless Systems and Networks (EWSN) ...","volume":"2020 ","pages":"120-131"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377925/pdf/nihms-1603887.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38185284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SuperRF: Enhanced 3D RF Representation Using Stationary Low-Cost mmWave Radar SuperRF:使用固定式低成本毫米波雷达增强3D射频表示

International Conference on Embedded Wireless Systems and Networks (EWSN) ... Pub Date : 2020-02-01 DOI: 10.5555/3400306.3400321

Shiwei Fang, S. Nirjon

{"title":"SuperRF: Enhanced 3D RF Representation Using Stationary Low-Cost mmWave Radar","authors":"Shiwei Fang, S. Nirjon","doi":"10.5555/3400306.3400321","DOIUrl":"https://doi.org/10.5555/3400306.3400321","url":null,"abstract":"This paper introduces SuperRF- which takes radio frequency (RF) signals from an off-the-shelf, low-cost, 77GHz mmWave radar and produces an enhanced 3D RF representation of a scene. SuperRF is useful in scenarios where camera and other types of sensors do not work, or not allowed due to privacy concerns, or their performance is impacted due to bad lighting conditions and occlusions, or an alternate RF sensing system like synthetic aperture radar (SAR) is too large, inconvenient, and costly. Applications of SuperRF includes navigation and planning of autonomous and semi-autonomous systems, human-robot interactions and social robotics, and elderly and/or patient monitoring in-home healthcare scenarios. We use low-cost, off-the-shelf parts to capture RF signals and to train SuperRF. The novelty of SuperRF lies in its use of deep learning algorithm, followed by a compressed sensing-based iterative algorithm that further enhances the output, to generate a fine-grained 3D representation of an RF scene from its sparse RF representation - which a mmWave radar of the same class cannot achieve without instrumenting the system with large sized multiple antennas or physically moving the antenna over a longer period in time. We demonstrate the feasibility and effectiveness through an in-depth evaluation.","PeriodicalId":93008,"journal":{"name":"International Conference on Embedded Wireless Systems and Networks (EWSN) ...","volume":"40 1","pages":"120-131"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84102870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Progressive Content-Sensitive Data Retrieval in Sensor Networks 传感器网络中渐进式内容敏感数据检索

International Conference on Embedded Wireless Systems and Networks (EWSN) ... Pub Date : 2009-07-31 DOI: 10.3844/JCSSP.2009.529.535

Bo Yang, M. Manohar, S. Kou

{"title":"Progressive Content-Sensitive Data Retrieval in Sensor Networks","authors":"Bo Yang, M. Manohar, S. Kou","doi":"10.3844/JCSSP.2009.529.535","DOIUrl":"https://doi.org/10.3844/JCSSP.2009.529.535","url":null,"abstract":"Problem statement: For a sensor network comprising autonomous and self-organizing data sources, efficient similarity-based search for semantic-rich resources (such as video data) has been considered as a challenging task due to the lack of infrastructures and the multiple limitations (such as band-width, storage and energy). While the past research discussed much on routing protocols for sensor networks, few works have been reported on effective data retrieval with respect to optimized data search cost and fairness across various environment setups. This study presented the design of progressive content prediction approaches to facilitate efficient similarity-based search in sensor networks. Approach: The study proposed fully dynamic, hierarchy-free and non-flooding approaches. Association rules and Bayesian probabilities were generated to indicate the content distribution in the sensor network. The proposed algorithms generated the interest node set for a node based on its query history and the association rules and Bayesian rule. Because in most cases the data content of a node was semantically related with its interest of queries, the sensor network was therefore partitioned into small groups of common interest nodes and most of the queries can be resolved within these groups. Consequently, blind search approach based on flooding could be replaced by the heuristic-based uni-casting or multicasting schemes, which drastically reduced the system cost of storage space, network bandwidth and computation power. Results: We verified the performance with experimental analysis. The simulation result showed that both Bayesian scheme and association scheme require much less message complexity than flooding, which drastically reduced the consumption of system resources. Conclusion: Content distribution knowledge could be used to improve the system performance of content-based data retrieval in sensor networks.","PeriodicalId":93008,"journal":{"name":"International Conference on Embedded Wireless Systems and Networks (EWSN) ...","volume":"6 1","pages":"63-68"},"PeriodicalIF":0.0,"publicationDate":"2009-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78435499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

The Effects of PRF and Slot Interval on the Data Throughput of PPM-Based Ultra Wide-Band Systems in Multi-Path Channels PRF和时隙间隔对多径信道ppm超宽带系统数据吞吐量的影响

International Conference on Embedded Wireless Systems and Networks (EWSN) ... Pub Date : 2006-05-08 DOI: 10.1007/11751588_84

Sungjun Kim, S. Im

引用次数: 2

GSM Security GSM安全

International Conference on Embedded Wireless Systems and Networks (EWSN) ... Pub Date : 2005-01-01 DOI: 10.1002/9781118380642.ch3

Basar Kasim, Levent Ertaul

引用次数: 5

An Architecture Supporting Run-Time Upgrade of Proxy-Based Services in Ad Hoc Networks 支持Ad Hoc网络中基于代理的服务运行时升级的体系结构

International Conference on Embedded Wireless Systems and Networks (EWSN) ... Pub Date : 2004-01-01 DOI: 10.7936/K7319T70

R. Sen, Radu Handorean, Gregory Hackmann, G. Roman

引用次数: 11

A Framework For Policy Based Coordinated Adaptation in Mobile Systems 移动系统中基于策略的协调适应框架

International Conference on Embedded Wireless Systems and Networks (EWSN) ... Pub Date : 2004-01-01 DOI: 10.25148/ETD.FI13101538

S. Makki, N. Pissinou, S. Agrawal

引用次数: 0

Secure Wireless Payment Protocol 安全无线支付协议

International Conference on Embedded Wireless Systems and Networks (EWSN) ... Pub Date : 2003-12-01 DOI: 10.22215/etd/2002-05265

Hong Wang, E. Kranakis

引用次数: 19