Moving Towards Wireless Sensors using RSSI Measurements and Particle Filtering
Author:
Affiliation:
1. University of Koblenz-Landau, Koblenz, Germany
Publisher
ACM Press
Reference23 articles.
1. M.S. Arulampalam, S Maskell, N Gordon, and T Clapp. 2002. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Transactions on Signal Processing 50, 2 (2002), 174--188. https://doi.org/10.1109/78.978374
2. Frank Bohdanowicz, Hannes Frey, Rafael Funke, Dominik Mosen, Florentin Neumann, and Ivan Stojmenović. 2015. RSSI-based localization of a wireless sensor node with a flying robot. In Proceedings of the 30th Annual ACM Symposium on Applied Computing - SAC '15. ACM Press, New York, New York, USA, 708--715. https://doi.org/10.1145/2695664.2695873
3. Long Cheng, C D Wu, and Y Z Zhang. 2011. Indoor robot localization based on wireless sensor networks. Consumer Electronics IEEE Transactions on 57, 3 (2011), 1099--1104. https://doi.org/10.1109/TCE.2011.6018861
4. Antonio R. de Carvalho, Afonso D Ribas, Vilar F. da Camara Neto, Eduardo Freire Nakamura, and Carlos Mauricio Figueiredo. 2012. An RSSI-based navigation algorithm for a mobile robot in Wireless Sensor Networks. In 37th Annual IEEE Conference on Local Computer Networks. IEEE, 308--311. https://doi.org/10.1109/ LCN.2012.6423636
5. Mehdi Golestanian and Christian Poellabauer. 2016. Poster: Indoor localization using multi-range beaconing. 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2016 05-08-July (2016), 397--398. https://doi.org/10.1145/2942358.2942414
Cited by 3 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. Traffic Efficiency Applications over Downtown Roads;ACM Computing Surveys;2020-10-15
2. Using perceived direction information for anchorless relative indoor localization;Journal of Network and Computer Applications;2020-09
3. Towards the Internet of Flying Robots: A Survey;Sensors;2018-11-19
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