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Sparse Signal Aloha: A Compressive Sensing-Based Method for Uncoordinated Multiple Access
KTH, School of Electrical Engineering (EES), Information Science and Engineering.
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2017 (English)In: IEEE Communications Letters, ISSN 1089-7798, E-ISSN 1558-2558, Vol. 21, no 6, 1301-1304 p., 7849200Article in journal (Refereed) Published
Abstract [en]

We investigate the problem of sparse signal medium access control in the wireless sensor networks. The proposed sparse signal Aloha (SSA) transmits sampled compressive data to the fusion center using Aloha random access protocol. In order to maximize the overall data transmission rate in the presence of packet collision, redundant data are randomly subsampled at individual sensor nodes according to an optimal subsampling rate before transmission. Data loss due to random subsampling and collision in the wireless channel are compensated using compressive sensing recovery method at the fusion center. Simulation results verify the theoretical analysis and show the significant improvement of SSA compared with existing CS-based random access method.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. Vol. 21, no 6, 1301-1304 p., 7849200
Keyword [en]
Aloha, compressive sensing, optimal subsampling rate, Sparse signal transmission, wireless sensor networks
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-210602DOI: 10.1109/LCOMM.2017.2666809ISI: 000403431300021Scopus ID: 2-s2.0-85020901976OAI: oai:DiVA.org:kth-210602DiVA: diva2:1118956
Note

QC 20170703

Available from: 2017-07-03 Created: 2017-07-03 Last updated: 2017-07-03Bibliographically approved

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