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Finite-Time Privacy-Preserving Quantized Average Consensus with Transmission Stopping
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control). Digital Futures, SE-10044 Stockholm, Sweden..ORCID iD: 0000-0002-8737-1984
Univ Cyprus, Dept Elect & Comp Engn, CY-1678 Nicosia, Cyprus..
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control). Digital Futures, SE-10044 Stockholm, Sweden..ORCID iD: 0000-0001-9940-5929
2022 (English)In: 2022 IEEE 61ST CONFERENCE ON DECISION AND CONTROL (CDC), Institute of Electrical and Electronics Engineers (IEEE) , 2022, p. 6762-6768Conference paper, Published paper (Refereed)
Abstract [en]

Due to their flexibility, battery powered or energy-harvesting wireless networks are deployed in diverse applications. Securing data transmissions between wireless devices is of critical importance in order to avoid privacy-sensitive user data leakage. In this paper, we focus on the scenario where some nodes are curious (but not malicious) and try to identify the initial states of one (or more) other nodes, while some other nodes aim to preserve the privacy of their initial states from these curious nodes. We present a privacy-preserving finite transmission event-triggered quantized average consensus algorithm. Its operation is suitable for battery-powered or energy-harvesting wireless network since it guarantees (i) efficient (quantized) communication, and (ii) transmission ceasing (which allows preservation of available energy). Furthermore, we present topological conditions under which the proposed algorithm allows nodes to preserve their privacy. We conclude with a comparison of our algorithm against other algorithms in the existing literature.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022. p. 6762-6768
Series
IEEE Conference on Decision and Control, ISSN 0743-1546
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-326408DOI: 10.1109/CDC51059.2022.9993299ISI: 000948128105108Scopus ID: 2-s2.0-85146985268OAI: oai:DiVA.org:kth-326408DiVA, id: diva2:1754199
Conference
IEEE 61st Conference on Decision and Control (CDC), DEC 06-09, 2022, Cancun, MEXICO
Note

QC 20230503

Available from: 2023-05-03 Created: 2023-05-03 Last updated: 2023-05-03Bibliographically approved

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Rikos, ApostolosJohansson, Karl H.

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