Efficient wireless transmission supporting internet of things

Simple item page
dc.contributor.authorGhasemiahmadi, Mohammad
dc.contributor.supervisorCai, Lin
dc.date.accessioned2017-12-19T19:38:40Z
dc.date.available2017-12-19T19:38:40Z
dc.date.copyright2017en_US
dc.date.issued2017-12-19
dc.degree.departmentDepartment of Electrical and Computer Engineeringen_US
dc.degree.levelMaster of Applied Science M.A.Sc.en_US
dc.description.abstractThe promise of Internet of Things (IoT) and mass connectivity has brought many applications and along with them many new challenges to be solved. Recognizing sensor networks as one of the main applications of IoT, this dissertation focuses on solutions for IoT challenges in both single-hop and multi-hop communications. In single-hop communications, the new IEEE 802.11ah and its Group Synchronized Distribution Coordination Function (GS-DCF) is studied. GS-DCF categorized nodes in multiple groups to solve the channel contention issue of dense networks. An RSS-Based grouping strategy is proposed for the hidden terminal problem that can arise in infrastructure-based single hop communications. For multi-hop communications, Physical Layer Network Coding (PNC) is studied as a robust solution for multi-hop packet exchange in linear networks. Focusing on practical and implementation issues of PNC systems, different challenges have been addressed and a Software Defined Radio (SDR) PNC system based on USRP devices is proposed and implemented. Finally, extensive simulation and experimental results are presented to evaluate the performance of the proposed algorithms in comparison with currently used methods.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.bibliographicCitationMohammad Ghasemiahmadi, Yue Li, and Lin Cai. Rss-based grouping strategy for avoiding hidden terminals with gs-dcf mac protocol. In Wireless Communications and Networking Conference (WCNC), 2017 IEEE, pages 1-6. IEEE, 2017.
dc.identifier.urihttp://hdl.handle.net/1828/8888
dc.languageEnglisheng
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjectInternet of Thingsen_US
dc.subjectwireless communicationen_US
dc.subjectphysical layer network codingen_US
dc.subjectIEEE 802.11ahen_US
dc.subjectgroupingen_US
dc.subjectsoftware defined radioen_US
dc.subjectusrpen_US
dc.subjectgnuradioen_US
dc.titleEfficient wireless transmission supporting internet of thingsen_US
dc.typeThesisen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Ghasemiahmadi_Mohammad_MASc_2017.pdf
Size:
1.78 MB
Format:
Adobe Portable Document Format
Description:
main thesis
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Electronic Theses and Dissertations (ETD)
Theses (Electrical and Computer Engineering)
 
University of Victoria Libraries

We acknowledge and respect the Lək̓ʷəŋən (Songhees and Esquimalt) Peoples on whose territory the university stands, and the Lək̓ʷəŋən and W̱SÁNEĆ Peoples whose historical relationships with the land continue to this day.