Shitharth Selvarajan;Hariprasath Manoharan;Adil O. Khadidos;Alaa O. Khadidos
{"title":"Testing of Emerging Wireless Sensor Networks Using Radar Signals With Machine Learning Algorithms","authors":"Shitharth Selvarajan;Hariprasath Manoharan;Adil O. Khadidos;Alaa O. Khadidos","doi":"10.1109/JSAS.2024.3395578","DOIUrl":"https://doi.org/10.1109/JSAS.2024.3395578","url":null,"abstract":"In this article, machine learning methods are used to assess how well wireless sensor networks transmit and receive radar signals. Measurements are done with labeled and unlabeled datasets where output functions are modified in relation to transmitted input in order to test the transceiver of radar signals. The main contribution in the proposed method is to focus on the possibility of choosing a free space model that transmits the radar signals in wireless sensor networks without any interruptions. Hence, for such type of transmissions, reference time period is selected in order to perform radar signal classification, and at the same time, separation of unnecessary interruptions is reduced using clustering procedures. Since the radar signals can be monitored with automatic transmission techniques, the outcomes are combined with supervised, unsupervised, and reinforcement learning models to increase the effect of transmissions. Therefore, the objective functions are designed with three scenarios where reinforcement learning proves to provide adequate connections for radar signals to all wireless sensor networks at reduced error of 0.3%. In addition, with reinforcement learning, the distance of radar signal transmission is maximized to a level greater than 75% at minimized noise ratio of 0.8%.","PeriodicalId":100622,"journal":{"name":"IEEE Journal of Selected Areas in Sensors","volume":"1 ","pages":"49-59"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10517404","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141096318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Frequency-Switchable Routing Protocol for Dynamic Magnetic Induction-Based Wireless Underground Sensor Networks","authors":"Guanghua Liu","doi":"10.1109/JSAS.2024.3357792","DOIUrl":"https://doi.org/10.1109/JSAS.2024.3357792","url":null,"abstract":"A frequency-switch strategy is introduced into the magnetic induction-based wireless underground sensor network (MI-WUSN) for its high connectivity and network throughput, which then makes routing design more complex and challenging. To this end, we study the frequency-switchable routing design to start a discussion about the high-reliability routing design of MI-WUSN. First, we analyze the frequency-selective property and map the dynamic MI-WUSN into a multilayer network. Then, we take the network throughput and energy consumption into account and formulate the frequency switchable routing decision problem in dynamic MI-WUSN as a constrained optimization problem. Finally, we evaluate how various design parameters of our obtained protocol are affecting the network performance and explore the performance limit.","PeriodicalId":100622,"journal":{"name":"IEEE Journal of Selected Areas in Sensors","volume":"1 ","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10412638","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139993630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IEEE Journal of Selected Areas in Sensors Publication Information","authors":"","doi":"10.1109/JSAS.2023.3285333","DOIUrl":"https://doi.org/10.1109/JSAS.2023.3285333","url":null,"abstract":"","PeriodicalId":100622,"journal":{"name":"IEEE Journal of Selected Areas in Sensors","volume":"1 ","pages":"C2-C2"},"PeriodicalIF":0.0,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/10057477/10185156/10185157.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50351931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
