AMI/IoT Data Model for Public Lighting in México Using Lz4 Compression, IPFS and Blockchain
Digitization and IoT technologies present new challenges for managing electric metering systems. Integrating institutional energy billing systems with AMI systems of government organizations is crucial. Blockchain is proposed to ensure data integrity by taking automated energy readings. This study proposes a new model to improve public lighting in Mexico using AMI and IoT, with LZ4 and IPFS data compression, to optimize the management of large amounts of data. The results improve data efficiency and security, reducing costs and improving energy resource management.
Authors
- Rito Mijarez (ORCID: https://orcid.org/0000-0001-8369-4092)
- Yasmín Hernández (ORCID: https://orcid.org/0000-0002-8842-0899)
- José Alberto Hernández Aguilar (ORCID: https://orcid.org/0000-0002-5184-0005)
- Javier Ortiz-Hernández (ORCID: https://orcid.org/0000-0002-6481-1537)
- René García Reyes (ORCID: https://orcid.org/0009-0002-7395-9362)
Institutions
- Centro Nacional de Investigación y Desarrollo Tecnológico (MX)
- Instituto Nacional de Electricidad y Energías Limpias (MX)
- Universidad Autónoma del Estado de Morelos (MX)
Publication Details
- Journal
- Programming and Computer Software
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1134/s0361768824700786
- Citations
- 1
- Primary Topic
- Impact of Light on Environment and Health
- Type
- article
- Field-Weighted Citation Impact
- 0.28