{"title":"EAC:基于ICN的物联网能源感知缓存方案","authors":"Geetu Dhawan, A. P. Mazumdar, Y. Meena","doi":"10.1109/CSI54720.2022.9924012","DOIUrl":null,"url":null,"abstract":"The Internet of Things (IoT) envisions millions of devices communicating with one another. Its ubiquitous nature leads to an early dissipation of device energy, making it a hot topic for IoT research. There has been an increased interest in content-centric IoT as it facilitates critical features to constrained devices. In IoT, interest and data packet transmissions consume the majority of node energy. As the existing IoT schemes focus primarily on the node's sleep cycle, the number of transmissions, clustering, and energy harvesting, they fail to account for the size and popularity of incoming content, which increase the volume of data exchanged. Therefore, an energy-efficient strategy that considers all the parameters of constrained devices to reduce power consumption is of great importance. In this article, we proposed an energy-aware caching scheme (EAC) that caches data based on the size of incoming content while simultaneously taking into account the content's popularity and freshness. Energy-constrained IoT devices can benefit from the proposed EAC scheme, which takes into account the trade-off between content size and popularity. The experimental results show that the proposed scheme has a higher caching hit rate than the Centrally Controlled Caching (CCC) and No-Cache schemes.","PeriodicalId":221137,"journal":{"name":"2022 International Conference on Connected Systems & Intelligence (CSI)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"EAC: Energy-Aware Caching Scheme for Internet of Things using ICN\",\"authors\":\"Geetu Dhawan, A. P. Mazumdar, Y. Meena\",\"doi\":\"10.1109/CSI54720.2022.9924012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Internet of Things (IoT) envisions millions of devices communicating with one another. Its ubiquitous nature leads to an early dissipation of device energy, making it a hot topic for IoT research. There has been an increased interest in content-centric IoT as it facilitates critical features to constrained devices. In IoT, interest and data packet transmissions consume the majority of node energy. As the existing IoT schemes focus primarily on the node's sleep cycle, the number of transmissions, clustering, and energy harvesting, they fail to account for the size and popularity of incoming content, which increase the volume of data exchanged. Therefore, an energy-efficient strategy that considers all the parameters of constrained devices to reduce power consumption is of great importance. In this article, we proposed an energy-aware caching scheme (EAC) that caches data based on the size of incoming content while simultaneously taking into account the content's popularity and freshness. Energy-constrained IoT devices can benefit from the proposed EAC scheme, which takes into account the trade-off between content size and popularity. The experimental results show that the proposed scheme has a higher caching hit rate than the Centrally Controlled Caching (CCC) and No-Cache schemes.\",\"PeriodicalId\":221137,\"journal\":{\"name\":\"2022 International Conference on Connected Systems & Intelligence (CSI)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Connected Systems & Intelligence (CSI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSI54720.2022.9924012\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Connected Systems & Intelligence (CSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSI54720.2022.9924012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
EAC: Energy-Aware Caching Scheme for Internet of Things using ICN
The Internet of Things (IoT) envisions millions of devices communicating with one another. Its ubiquitous nature leads to an early dissipation of device energy, making it a hot topic for IoT research. There has been an increased interest in content-centric IoT as it facilitates critical features to constrained devices. In IoT, interest and data packet transmissions consume the majority of node energy. As the existing IoT schemes focus primarily on the node's sleep cycle, the number of transmissions, clustering, and energy harvesting, they fail to account for the size and popularity of incoming content, which increase the volume of data exchanged. Therefore, an energy-efficient strategy that considers all the parameters of constrained devices to reduce power consumption is of great importance. In this article, we proposed an energy-aware caching scheme (EAC) that caches data based on the size of incoming content while simultaneously taking into account the content's popularity and freshness. Energy-constrained IoT devices can benefit from the proposed EAC scheme, which takes into account the trade-off between content size and popularity. The experimental results show that the proposed scheme has a higher caching hit rate than the Centrally Controlled Caching (CCC) and No-Cache schemes.