A. S, Sheshathri V M, Shaik Muhammad Aasif, Srikanta Yeswanth Adithya
{"title":"A Low-Energy System for IoT-based Wireless Sensor Networks","authors":"A. S, Sheshathri V M, Shaik Muhammad Aasif, Srikanta Yeswanth Adithya","doi":"10.1109/ICAIS56108.2023.10073908","DOIUrl":null,"url":null,"abstract":"The Internet of Things (IoT) will enable intelligent objects to interact and exchange data, facilitating the integration of the real world with computerized structures for greater comfort and control. These organizations are more than ordinary organizations and have a great deal of influence in the field of IoT, regardless of their dominant characteristics, they face some key challenges such as versatility, safety and limited power supply on board. The rise of Wireless Sensor Networks (WSNs) is one of the major advances that will bring other types of disruption, necessities, and better exhibitions in the coming years. However, the processing, energy, transmitting, and memory capabilities of sensors are constrained, which might have a negative effect on agricultural production. In addition to effectiveness, these IoT-based agricultural sensors need to be protected from hostile opponents. This article has presented an application to smart agriculture by using an IoT-based WSN framework with several design levels. First, agricultural sensors gather pertinent data and use a multi-criteria decision function to select a set of cluster heads. To ensure reliable and effective data transmissions, the Signal to Noise Ratio (SNR) is also used to monitor the signal strength on the transmission connections. Simulation results prove that the proposed framework significantly improves communication performance.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIS56108.2023.10073908","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
The Internet of Things (IoT) will enable intelligent objects to interact and exchange data, facilitating the integration of the real world with computerized structures for greater comfort and control. These organizations are more than ordinary organizations and have a great deal of influence in the field of IoT, regardless of their dominant characteristics, they face some key challenges such as versatility, safety and limited power supply on board. The rise of Wireless Sensor Networks (WSNs) is one of the major advances that will bring other types of disruption, necessities, and better exhibitions in the coming years. However, the processing, energy, transmitting, and memory capabilities of sensors are constrained, which might have a negative effect on agricultural production. In addition to effectiveness, these IoT-based agricultural sensors need to be protected from hostile opponents. This article has presented an application to smart agriculture by using an IoT-based WSN framework with several design levels. First, agricultural sensors gather pertinent data and use a multi-criteria decision function to select a set of cluster heads. To ensure reliable and effective data transmissions, the Signal to Noise Ratio (SNR) is also used to monitor the signal strength on the transmission connections. Simulation results prove that the proposed framework significantly improves communication performance.