Sumalatha Aradhya, K. N. Pramod, P. Rudraradhya, B. Kiran, G. Kotresh
{"title":"Conflict Management of Multi Modal RFID in Asset Tracking","authors":"Sumalatha Aradhya, K. N. Pramod, P. Rudraradhya, B. Kiran, G. Kotresh","doi":"10.1109/RTEICT52294.2021.9573819","DOIUrl":null,"url":null,"abstract":"Inventory management is the soul of manufacturing industry. The inventories must be tracked and controlled remotely by the owner. But, handling multiple assets with RFID sensor at a time is a challenging job. The conflict in reading the RFID tags in synchronous mode must be managed effectively. Legacy application that uses the old RFID tag may become obsolete and need replacement by new tags. The existing approach to detect the legacy RFID tags such as IEC 15693 with mode 1 protocol is not working with new RFID readers and hence is incompatible. We are proposing a solution to make the passive legacy RFID tags as to make active and detectable using any RFID reader. The proposed solution shall help the assets with legacy RFID tags as traceable and controllable by the remote application automatically. The conflict resolution hypothesis is derived as part of the research work and an IoT based application is written to test the use of algorithm. The assets that are leading to conflicts are identified and after the conflict rectification, both passive and active RFID tags are getting identified successfully. The data is processed through AWS cloud and analyzed to control the multi modal sensors remotely.","PeriodicalId":191410,"journal":{"name":"2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTEICT52294.2021.9573819","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
Inventory management is the soul of manufacturing industry. The inventories must be tracked and controlled remotely by the owner. But, handling multiple assets with RFID sensor at a time is a challenging job. The conflict in reading the RFID tags in synchronous mode must be managed effectively. Legacy application that uses the old RFID tag may become obsolete and need replacement by new tags. The existing approach to detect the legacy RFID tags such as IEC 15693 with mode 1 protocol is not working with new RFID readers and hence is incompatible. We are proposing a solution to make the passive legacy RFID tags as to make active and detectable using any RFID reader. The proposed solution shall help the assets with legacy RFID tags as traceable and controllable by the remote application automatically. The conflict resolution hypothesis is derived as part of the research work and an IoT based application is written to test the use of algorithm. The assets that are leading to conflicts are identified and after the conflict rectification, both passive and active RFID tags are getting identified successfully. The data is processed through AWS cloud and analyzed to control the multi modal sensors remotely.