{"title":"A lightweight Compression-based Energy-Efficient Smart Metering System in Long-Range Network","authors":"Preti Kumari, Hari Prabhat Gupta, Tanima Dutta","doi":"10.1109/INFOCOMWKSHPS51825.2021.9484533","DOIUrl":null,"url":null,"abstract":"Smart metering techniques successfully transmit the electric meter readings from consumers to the operator within the given time constraints. Such techniques require huge energy for transmitting the large-size of data to the long distance. This poster proposes a smart metering system that consumes low energy and less time to transmit electric meter readings successfully. We first propose a lightweight compression model to compress the data at Edge device that is near to the consumer. Next, we transmit the compressed data to the operator using Long-Range network. Finally, we successfully decompress the data at the operator by using a large-size decompression model. Preliminary experimental comparisons with a recent state-of-the-artwork show that the lightweight compression-based system gives better performance with respect to delay and energy.","PeriodicalId":109588,"journal":{"name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484533","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Smart metering techniques successfully transmit the electric meter readings from consumers to the operator within the given time constraints. Such techniques require huge energy for transmitting the large-size of data to the long distance. This poster proposes a smart metering system that consumes low energy and less time to transmit electric meter readings successfully. We first propose a lightweight compression model to compress the data at Edge device that is near to the consumer. Next, we transmit the compressed data to the operator using Long-Range network. Finally, we successfully decompress the data at the operator by using a large-size decompression model. Preliminary experimental comparisons with a recent state-of-the-artwork show that the lightweight compression-based system gives better performance with respect to delay and energy.