{"title":"MTS-GAT: multivariate time series anomaly detection based on graph attention networks","authors":"Ling Chen, Yingchi Mao, Hongliang Zhou, Benteng Zhang, ZiCheng Wang, Jie Wu","doi":"10.1504/ijsnet.2023.133812","DOIUrl":"https://doi.org/10.1504/ijsnet.2023.133812","url":null,"abstract":"","PeriodicalId":49177,"journal":{"name":"International Journal of Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135953084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijsnet.2023.129632
Ngoc Son Duong, Thanh Phuc Nguyen, Quoc Tuan Nguyen, Thai Mai Dinh Thi
Indoor positioning has grasped great attention in recent years. Many of those technologies are related to the problem of determining the position of an object in space, such as the robot, people, and so on. In this paper, we combine a range-free method, i.e., fingerprinting, and a range-based method, i.e., multi-lateration, to propose a novel indoor positioning system using the received signal strength indicator (RSSI). First, we apply multi-layer perceptron neural network (MLP-NN) on a time series of RSS readings to coarsely estimate the target location. From the knowledge of the coarse location, we select reliable beacons and apply least square-based multi-lateration to their estimated distance to finely estimate the target position. We also proposed a novel weighted least square method based on uncertainty propagation to improve localisation accuracy. Experiments have shown that our proposed system, which is implemented on Raspberry Pi (RPi), is highly precise and deployable.
{"title":"Improving indoor positioning system using weighted linear least square and neural network","authors":"Ngoc Son Duong, Thanh Phuc Nguyen, Quoc Tuan Nguyen, Thai Mai Dinh Thi","doi":"10.1504/ijsnet.2023.129632","DOIUrl":"https://doi.org/10.1504/ijsnet.2023.129632","url":null,"abstract":"Indoor positioning has grasped great attention in recent years. Many of those technologies are related to the problem of determining the position of an object in space, such as the robot, people, and so on. In this paper, we combine a range-free method, i.e., fingerprinting, and a range-based method, i.e., multi-lateration, to propose a novel indoor positioning system using the received signal strength indicator (RSSI). First, we apply multi-layer perceptron neural network (MLP-NN) on a time series of RSS readings to coarsely estimate the target location. From the knowledge of the coarse location, we select reliable beacons and apply least square-based multi-lateration to their estimated distance to finely estimate the target position. We also proposed a novel weighted least square method based on uncertainty propagation to improve localisation accuracy. Experiments have shown that our proposed system, which is implemented on Raspberry Pi (RPi), is highly precise and deployable.","PeriodicalId":49177,"journal":{"name":"International Journal of Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135584287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijsnet.2023.133249
Mohd Shoaib, Mohammad Sarosh Umar
{"title":"Phishing detection model using feline finch optimisation-based LSTM classifier","authors":"Mohd Shoaib, Mohammad Sarosh Umar","doi":"10.1504/ijsnet.2023.133249","DOIUrl":"https://doi.org/10.1504/ijsnet.2023.133249","url":null,"abstract":"","PeriodicalId":49177,"journal":{"name":"International Journal of Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134887827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijsnet.2023.10058933
Jing Zhang, Gary Sun
{"title":"Cloud-Enabled Internet of Things for Environmental Data Collection: Prototype and Evaluation","authors":"Jing Zhang, Gary Sun","doi":"10.1504/ijsnet.2023.10058933","DOIUrl":"https://doi.org/10.1504/ijsnet.2023.10058933","url":null,"abstract":"","PeriodicalId":49177,"journal":{"name":"International Journal of Sensor Networks","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76141742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijsnet.2023.10059503
Sunita Dahiya, Vijay Nandal
{"title":"A Comprehensive review of energy efficient wireless communication and routing protocols in smart agriculture","authors":"Sunita Dahiya, Vijay Nandal","doi":"10.1504/ijsnet.2023.10059503","DOIUrl":"https://doi.org/10.1504/ijsnet.2023.10059503","url":null,"abstract":"","PeriodicalId":49177,"journal":{"name":"International Journal of Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135845051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijsnet.2023.133814
Zhiyong Tao, Lu Chen, Xijun Guo, Jie Li, Jing Guo, Ying Liu
With the popularity of commercial Wi-Fi devices, channel state information (CSI) based human activity recognition shows great potential and has made great progress. However, previous researchers always tried to remove the noise signals as much as possible without considering the distribution characteristics. Different from the previous methods, we observed the phenomenon that the signal distribution is different when the action exists and does not exist, so we propose GFBR. GFBR takes noise distribution as the entry point, proposes a novel human activity modelling method, and designs a dual-threshold segmentation algorithm based on the modelling method. Then, we extract features from amplitude and linearly corrected phase to describe different activities. Finally, a support vector machine (SVM) is used to recognise five different activities. The average recognition accuracy of GFBR in the three different environments is 94.8%, 96.2%, and 95.7%, respectively, which proves its good robustness.
{"title":"Gaussian fitting based human activity recognition using Wi-Fi signals","authors":"Zhiyong Tao, Lu Chen, Xijun Guo, Jie Li, Jing Guo, Ying Liu","doi":"10.1504/ijsnet.2023.133814","DOIUrl":"https://doi.org/10.1504/ijsnet.2023.133814","url":null,"abstract":"With the popularity of commercial Wi-Fi devices, channel state information (CSI) based human activity recognition shows great potential and has made great progress. However, previous researchers always tried to remove the noise signals as much as possible without considering the distribution characteristics. Different from the previous methods, we observed the phenomenon that the signal distribution is different when the action exists and does not exist, so we propose GFBR. GFBR takes noise distribution as the entry point, proposes a novel human activity modelling method, and designs a dual-threshold segmentation algorithm based on the modelling method. Then, we extract features from amplitude and linearly corrected phase to describe different activities. Finally, a support vector machine (SVM) is used to recognise five different activities. The average recognition accuracy of GFBR in the three different environments is 94.8%, 96.2%, and 95.7%, respectively, which proves its good robustness.","PeriodicalId":49177,"journal":{"name":"International Journal of Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135952763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijsnet.2023.10058809
Jing Guo, Jie Li, Xijun Guo, Lu Chen, Zhiyong Tao, Ying Liu
{"title":"GFBR: Gaussian Fitting Based Human Activity Recognition Using WiFi Signals","authors":"Jing Guo, Jie Li, Xijun Guo, Lu Chen, Zhiyong Tao, Ying Liu","doi":"10.1504/ijsnet.2023.10058809","DOIUrl":"https://doi.org/10.1504/ijsnet.2023.10058809","url":null,"abstract":"","PeriodicalId":49177,"journal":{"name":"International Journal of Sensor Networks","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72527634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijsnet.2023.10058559
Raed I. Alhamad
{"title":"Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surfaces (STAR-RIS) with Solar Energy Harvesting","authors":"Raed I. Alhamad","doi":"10.1504/ijsnet.2023.10058559","DOIUrl":"https://doi.org/10.1504/ijsnet.2023.10058559","url":null,"abstract":"","PeriodicalId":49177,"journal":{"name":"International Journal of Sensor Networks","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78091527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijsnet.2023.10059164
Geetanjali Rathee, Aparna Singh
{"title":"SMAP: Secure Mutual Authentication Protocol for Internet of Medical Things Using Physical Unclonable Functions","authors":"Geetanjali Rathee, Aparna Singh","doi":"10.1504/ijsnet.2023.10059164","DOIUrl":"https://doi.org/10.1504/ijsnet.2023.10059164","url":null,"abstract":"","PeriodicalId":49177,"journal":{"name":"International Journal of Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135496705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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