Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/3495018.3501056acmotherconferencesArticle/Chapter ViewAbstractPublication PagesaiamConference Proceedingsconference-collections
research-article

An improved Low Power Wide Area Network Node Location Algorithm for Forest Fire Monitoring System

Published: 14 March 2022 Publication History

Abstract

Aiming at the problem of node location in forest fire monitoring, an improved Low Power Wide Area Network node location algorithm for forest fire monitoring system is proposed this paper. This location algorithm makes full use of the location information of known anchor nodes to modify the location information of unknown nodes without adding other hard nodes in the network. At the same time, the positioning accuracy is further improved. The test results show that the algorithm has better positioning effect than other non-ranging algorithms.

References

[1]
Xianming Huang. Multi-node topology location model of smart city based on Internet of Things, Computer Communications, 2020 :282-295
[2]
Xiaorong Zhu, Yao Shen. RPMA low power WAN network planning method based on data mining [J], Journal of communications, 2019, 3:28-35
[3]
Xiao Sun, Xing Wang, Shouping Yang, Yungui Xia, Fang Liu. Design and implementation of intelligent water meter reading system based on Lora [J]. Journal of Hunan University of technology, 2018,32 (2): 49-54
[4]
Xiuwu Yu, Mufang Hu. Hop-Count Quantization Ranging and Hybrid Cuckoo Search Optimized for DV-HOP in WSNs, Wireless Personal Communications, 2019:2031-2046
[5]
Ji W W, Liu Z. An improvement of DV-Hop algorithm in wireless sensor networks[C].  Networking and Mobile Computing, 2006. WiCOM  2006. International Conference on Wireless Communications. IEEE, 2006: 1-4. 
[6]
Xiaoying Yang, Wanli Zhang. An Improved DV Hop Localization Algorithm Based on Bat Algorithm, Cybernetics and Information Technologies, 2016:89-98
[7]
Junjian Wang, Liyong Wu. Comparison of base station deployment of 5g SA Networking Wireless Architecture [J]. China new communications, 2019, 21 (2): 67-67
[8]
Kumar S, Lobiyal D K. An advanced dvhop localization algorithm for wireless sensor networks[J]. Wireless personal communications, 2013, 71(2): 1365-1385. 
[9]
Jiuhu Zheng, Huanyan Qian, Lie Wang. An improved DV-Hop positioning algorithm for wireless sensor network, 2015 IEEE International Conference on Progress in Informatics and Computing (PIC), 2015: 492-497
[10]
Aarti Jain. A Singular Value Decomposition Based Upgraded DV-Hop Localization Algorithm for Wireless Sensor Networks, International Journal of Knowledge-Based Organizations, 2020:62-81
[11]
Wenbin Zi, Minzheng Li, Xinwei Zhi. Design and implementation of wireless meter reading system based on Lora [J]. Journal of Guilin University of Electronic Science and technology, 2018,38 (2): 106-111
[12]
Lei Wenli, Wang Fubao. An improved positioning algorithm of wireless sensor network based on differential evolution[J]. International Journal of Future Generation Communication and Networking, 2016, 9(9):289-298.

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences
AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture
October 2021
3136 pages
ISBN:9781450385046
DOI:10.1145/3495018
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 March 2022

Permissions

Request permissions for this article.

Check for updates

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Conference

AIAM2021

Acceptance Rates

Overall Acceptance Rate 100 of 285 submissions, 35%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 33
    Total Downloads
  • Downloads (Last 12 months)5
  • Downloads (Last 6 weeks)0
Reflects downloads up to 16 Nov 2024

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media