Secure and efficient data model for public lighting in Mexico with AMI/IoT: implementing LZ4 compression, IPFS, and Blockchain

The advent of digitalization and Internet of things (IoT) technologies brings new challenges to the management of electric metering systems. Integrating institutional energy billing systems with government Ambient Intelligence (AMI) systems is essential for effective management. Blockchain technology is proposed to maintain data integrity through automated energy readings. This study introduces an innovative model designed to enhance public lighting in Mexico by integrating AMI and IoT, and employing LZ4 and IPFS for data compression. This approach aims to optimize the handling of large data volumes, resulting in improved data efficiency, enhanced security, cost reductions, and better energy resource management.