IOTA-Based Mobile Application for Environmental Sensor Data Visualization

被引:1
|
作者
Lubrano, Francesco [1 ]
Bertone, Fabrizio [1 ]
Caragnano, Giuseppe [1 ]
Terzo, Olivier [1 ]
机构
[1] LINKS Fdn, Via Boggio 61, Turin, Italy
关键词
INTERNET;
D O I
10.1007/978-3-030-79725-6_28
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Over the last few years, Distributed Ledger Technology (DLT) emerged as a trending opportunity for innovation in several sectors, and a wide range of implementations, sometimes very different from each other, appeared on the market. In particular, the intrinsic features of DLT can represent enabling factors for the IoT sector. The huge number of IoT applications and the exponential growth of connected smart devices are shaping the present and the near future of our lives and the way we understand and see the world. The application of IoT to all sectors, spanning from smart home to industry, is conceived as the way to improve and optimize processes, consumption and efficiency. The large amount of data produced, the need of certifying exchanges of goods, the possibility to track assets, and so on, are challenges that can be addressed through DLT. This paper aims to tackle some of these challenges by presenting IoT devices and a mobile application that are able to exchange data through the IOTA Tangle. IOTA is an implementation of DLT, based on the Directed Acyclic Graph (DAG) structure. This paper presents the functionalities and the current implementation of the mobile application, its features, challenges and future developments.
引用
收藏
页码:288 / 296
页数:9
相关论文
共 50 条
  • [1] IOTA-based Micropayment of IoT Data
    Yashiki, Keita
    Kamiyama, Noriaki
    2024 11TH INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-TAIWAN, ICCE-TAIWAN 2024, 2024, : 751 - 752
  • [2] An IOTA-Based Micropayment System for Air Quality Monitoring Application
    Nakada, Ryota
    Li, Zhetao
    Pei, Tingrui
    Kien Nguyen
    Sekiya, Hiroo
    2021 IEEE 94TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2021-FALL), 2021,
  • [3] Using efficient deep learning techniques for mobile crowd sensing detection in an IOTA-based framework
    Mohammed Naif Alatawi
    Discover Computing, 27 (1)
  • [4] IOTA-Based Access Control Framework for the Internet of Things
    Nakanishi, Ruka
    Zhang, Yuanyu
    Sasabe, Masahiro
    Kasahara, Shoji
    2020 2ND CONFERENCE ON BLOCKCHAIN RESEARCH & APPLICATIONS FOR INNOVATIVE NETWORKS AND SERVICES (BRAINS), 2020, : 87 - 91
  • [5] An IOTA-Based Service Discovery Framework for Fog Computing
    Tang, Tsung-Yi
    Hou, Li-Yuan
    Liang, Tyng-Yeu
    ELECTRONICS, 2021, 10 (07)
  • [6] A CP-ABE and IOTA-Based Lightweight Sensitive Data Access Control Scheme for IoT
    Yao, Xuanxia
    Zhou, Jinyuan
    Du, Xiaojiang
    Zhang, Shurong
    IEEE Internet of Things Journal, 2024, 11 (24) : 40831 - 40844
  • [7] IOTA-Based Distributed Ledger in the Mining Industry: Efficiency, Sustainability and Transparency
    Gligoric, Nenad
    Escuin, David
    Polo, Lorena
    Amditis, Angelos
    Georgakopoulos, Tasos
    Fraile, Alberto
    SENSORS, 2024, 24 (03)
  • [8] Research on Mobile Medical Data Acquisition and Application Based on Visualization
    Liu, Yutao
    Cai, Hengyu
    Zhao, Hang
    Li, Guijie
    2018 INTERNATIONAL CONFERENCE ON ROBOTS & INTELLIGENT SYSTEM (ICRIS 2018), 2018, : 380 - 382
  • [9] IOTA-Based Mobile Crowd Sensing: Detection of Fake Sensing Using Logit-Boosted Machine Learning Algorithms
    Hameed, Mazhar
    Yang, Fengbao
    Ghafoor, Muhammad Imran
    Jaskani, Fawwad Hassan
    Islam, Umar
    Fayaz, Muhammad
    Mehmood, Gulzar
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022, 2022
  • [10] IOTA-Based Mobile Crowd Sensing: Detection of Fake Sensing Using Logit-Boosted Machine Learning Algorithms
    Hameed, Mazhar
    Yang, Fengbao
    Ghafoor, Muhammad Imran
    Jaskani, Fawwad Hassan
    Islam, Umar
    Fayaz, Muhammad
    Mehmood, Gulzar
    Wireless Communications and Mobile Computing, 2022, 2022