Distributed Gradient Descent Localization in Wireless Sensor Networks

Author:

Alwan Nuha A. S.,Mahmood Alaa S.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference15 articles.

1. Bachrach J., Taylor C.: Localization in Sensor Networks. Handbook of Sensor Networks: Algorithms and Architectures. Wiley, Hoboken, NJ (2005)

2. Mao G., Fidan B., Anderson B.D.O.: Wireless sensor network localization techniques. Comput. Netw. 51(10), 2529–2553 (2007)

3. Patwari N., Hero A.O. III, Perkins M., Correal N.S., O’Dea R.J.: Relative localization estimation in wireless sensor networks. IEEE Trans. Signal Process. 51(8), 2137–2148 (2003)

4. Zhang, L., Tao, C.; Yang, G.: Wireless positioning: fundamentals, systems and state of the art signal processing techniques. In: Melikov, A. (ed.) Cellular Networks—Positioning, Performance Analysis, Reliability, ISBN: 978-953-307-246-3, InTech (2011). Available from: http://www.intechopen.com/books

5. Qiao, D.; Pang, G.K.H.: Localization in wireless sensor networks with gradient descent. In: IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, pp. 91–96. IEEE (2011)

Cited by 10 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 study on the performance of various predictive models based on artificial neural network for backward metal flow forming process;International Journal on Interactive Design and Manufacturing (IJIDeM);2022-10-30

2. A Review: Machine Learning in Visible Light Wireless Positioning System;2022 2nd International Conference on Networking Systems of AI (INSAI);2022-10

3. PAFF: predictive analytics on forest fire using compressed sensing based localized Ad Hoc wireless sensor networks;Journal of Ambient Intelligence and Humanized Computing;2020-06-27

4. Optimizing Wireless Sensor Network Installations by Visibility Analysis on 3D Point Clouds;ISPRS International Journal of Geo-Information;2019-10-16

5. Gradient Descent Localization Algorithm Based on Received Signal Strength Technique in a Noisy Wireless Sensor Network;2019 Fourth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA);2019-07

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