SIA OpenIR  > 广州中国科学院沈阳自动化研究所分所
The Research of Long-Chain Wireless Sensor Network Based on 6LoWPAN
Lin WL(林炜岚); Fan ZY(樊智一); Zhong, Yingchun; Zi SF(资双飞); Xiao JC(肖金超)
Department广州中国科学院沈阳自动化研究所分所
Conference Name5th International Conference on Enterprise Systems, ES 2017
Conference DateSeptember 22-24, 2017
Conference PlaceBeijing, China
Source PublicationProceedings - 2017 5th International Conference on Enterprise Systems: Industrial Digitalization by Enterprise Systems, ES 2017
PublisherIEEE
Publication PlaceNew York
2017
Pages143-147
Indexed ByEI ; CPCI(ISTP)
EI Accession number20180604774809
WOS IDWOS:000434642300024
Contribution Rank1
ISBN978-1-5386-0936-1
Keyword6lowpan Routing Long-chain Wireless Sensor Networks
Abstract

Long-chain wireless sensor network exhibits a special topology with the nodes distributed in one line just like a long chain. The wireless nodes in this special topology cannot directly access the Internet and the data in the transmission process prone to collision. The 6LoWPAN standard makes it possible for nodes within each wireless sensor network to connect the Internet. According to the characteristics of Long-chain wireless sensor networks and combining with the 6LoWPAN standard, an address allocation method is proposed, which allocates IP addresses for the node in Long-chain wireless sensor network. By compressing the network address of the data frame to improve the data transmission efficiency. In this paper, we also propose a dynamic routing protocol based on maximum routing radius (DMR) to avoid data collision in the transmission process and improve sys-tem responsiveness. The experimental results show that the nodes in the network can interact with the users via the Internet, the stability and responsiveness of the network are greatly improved.

Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/21533
Collection广州中国科学院沈阳自动化研究所分所
Corresponding AuthorLin WL(林炜岚)
Affiliation1.IOT Technology and Application RandD, Shenyang Institute of Automation, Guangzhou, Chinese Academy of Sciences, Guangzhou, China
2.Department of Automation, Guangdong University of Technology, Guangzhou, China
Recommended Citation
GB/T 7714
Lin WL,Fan ZY,Zhong, Yingchun,et al. The Research of Long-Chain Wireless Sensor Network Based on 6LoWPAN[C]. New York:IEEE,2017:143-147.
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