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

被引:5
作者
Luecking, Markus [1 ]
Kannengiesser, Niclas [2 ]
Kilgus, Maurice [1 ]
Riedel, Till [3 ]
Beigl, Michael [3 ]
Sunyaev, Ali [2 ]
Stork, Wilhelm [4 ]
机构
[1] FZI Res Ctr Informat Technol, Res Div Embedded Syst & Sensors, D-76131 Karlsruhe, Germany
[2] Karlsruhe Inst Technol, Inst Appl Informat & Formal Descript Methods, D-76131 Karlsruhe, Germany
[3] Karlsruhe Inst Technol, Chair Pervas Comp Syst, D-76131 Karlsruhe, Germany
[4] Karlsruhe Inst Technol, Inst Informat Proc Technol, D-76131 Karlsruhe, Germany
来源
IEEE ACCESS | 2020年 / 8卷 / 08期
基金
俄罗斯科学基金会;
关键词
Distributed ledger; Pollution; Monitoring; Distributed databases; Peer-to-peer computing; Sensor phenomena and characterization; Blockchain; distributed ledger technology (DLT); Internet of Things (IoT); LoRa; low-energy sensors; pollution monitoring systems; AIR-QUALITY; PERSONAL EXPOSURE; BLOCKCHAIN; ARCHITECTURE; MANAGEMENT; INTERNET; SENSORS; DESIGN; THINGS; FIELD;
D O I
10.1109/ACCESS.2020.3028430
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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. On this basis, we designed and implemented a prototype PMS and evaluated it in the field. The evaluation shows the effectiveness of DLT-based PMSs that include portable low-energy sensor nodes and demonstrates the applicability of the proposed software design for PMSs in contexts other than air pollution.
引用
收藏
页码:189365 / 189381
页数:17
相关论文
共 124 条
  • [41] Moving your laboratories to the field - Advantages and limitations of the use of field portable instruments in environmental sample analysis
    Galuszka, Agnieszka
    Migaszewski, Zdzislaw M.
    Namiesnik, Jacek
    [J]. ENVIRONMENTAL RESEARCH, 2015, 140 : 593 - 603
  • [42] Gengrui Zhang, 2019, Green, Pervasive, and Cloud Computing. 13th International Conference, GPC 2018. Revised Selected Papers. Lecture Notes in Computer Science (LNCS 11204), P298, DOI 10.1007/978-3-030-15093-8_21
  • [43] Gervais A., 2016, P 2016 ACM SIGSAC C, P3, DOI [DOI 10.1145/2976749.2978341, 10.1145/2976749.2978341]
  • [44] 'Effortless Perfection:' Do Chinese cities manipulate air pollution data?
    Ghanem, Dalia
    Zhang, Junjie
    [J]. JOURNAL OF ENVIRONMENTAL ECONOMICS AND MANAGEMENT, 2014, 68 (02) : 203 - 225
  • [45] Gorenflo C, 2019, 2019 IEEE INTERNATIONAL CONFERENCE ON BLOCKCHAIN AND CRYPTOCURRENCY (ICBC), P455, DOI [10.1109/bloc.2019.8751452, 10.1109/BLOC.2019.8751452, 10.1002/nem.2099]
  • [46] Gray J., 2016, Cham: Datashift and Open Knowledge
  • [47] Human health risks in megacities due to air pollution
    Gurjar, B. R.
    Jain, A.
    Sharma, A.
    Agarwal, A.
    Gupta, P.
    Nagpure, A. S.
    Lelieveld, J.
    [J]. ATMOSPHERIC ENVIRONMENT, 2010, 44 (36) : 4606 - 4613
  • [48] Calibration and assessment of electrochemical air quality sensors by co-location with regulatory-grade instruments
    Hagan, David H.
    Isaacman-VanWertz, Gabriel
    Franklin, Jonathan P.
    Wallace, Lisa M. M.
    Kocar, Benjamin D.
    Heald, Colette L.
    Kroll, Jesse H.
    [J]. ATMOSPHERIC MEASUREMENT TECHNIQUES, 2018, 11 (01) : 315 - 328
  • [49] Hammi MT, 2018, IEEE WCNC, DOI 10.1109/ICTON.2018.8473771
  • [50] Han R, 2018, INT CONF NEW TECHNOL, P1