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The Merits of a Decentralized Pollution-Monitoring System Based on Distributed Ledger Technology

Lücking, Markus; Kannengießer, Niclas ORCID iD icon 1; Kilgus, Maurice; Riedel, Till ORCID iD icon 2; Beigl, Michael 2; Sunyaev, Ali 1; Stork, Wilhelm 3
1 Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), Karlsruher Institut für Technologie (KIT)
2 Karlsruher Institut für Technologie (KIT)
3 Institut für Technik der Informationsverarbeitung (ITIV), Karlsruher Institut für Technologie (KIT)

Abstract:

Pollution-monitoring systems (PMSs) are used worldwide to sense environmental changes, such as air quality conditions or temperature increases, and to monitor compliance with regulations. However, organizations manage the environmental data collected by such PMSs in a centralized manner, which is why recorded environmental data are vulnerable to manipulation. Moreover, the analysis of pollution data often lacks transparency to outsiders, which may lead to wrong decisions regarding environmental regulations. To address these challenges, we propose a software design for PMSs based on distributed ledger technology (DLT) and the long-range (LoRa) protocol for flexible, transparent, and energy-efficient environment monitoring and data management. To design the PMS, we conducted a comprehensive requirements analysis for PMSs. We benchmarked different consensus mechanisms (e.g., BFT-SMaRt and Raft) and digital signature schemes (e.g., ECDSA and EdDSA) to adequately design the PMS and fulfill the identified requirements.


Verlagsausgabe §
DOI: 10.5445/IR/1000125315
Veröffentlicht am 07.12.2020
Originalveröffentlichung
DOI: 10.1109/ACCESS.2020.3028430
Web of Science
Zitationen: 5
Dimensions
Zitationen: 13
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Institut für Technik der Informationsverarbeitung (ITIV)
Institut für Telematik (TM)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 10.2020
Sprache Englisch
Identifikator ISSN: 2169-3536
KITopen-ID: 1000125315
Erschienen in IEEE access
Verlag IEEEXplore
Band 8
Seiten 189365–189381
Vorab online veröffentlicht am 02.10.2020
Nachgewiesen in Web of Science
Dimensions
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