2021 31st International Telecommunication Networks and Applications Conference (ITNAC)最新文献

Deep Learning For Noisy Communication System 噪声通信系统的深度学习

2021 31st International Telecommunication Networks and Applications Conference (ITNAC) Pub Date : 2021-11-24 DOI: 10.1109/itnac53136.2021.9652171

Reem E. Mohamed, R. Hunjet, S. Elsayed, H. Abbass

引用次数: 1

A Study on RFID-based Arbitrary Point-to-Point Navigation and Path Recovery System for Mobile Robots 基于rfid的移动机器人任意点对点导航与路径恢复系统研究

2021 31st International Telecommunication Networks and Applications Conference (ITNAC) Pub Date : 2021-11-24 DOI: 10.1109/itnac53136.2021.9652150

Osaki Nakamatsu, T. Wada

{"title":"A Study on RFID-based Arbitrary Point-to-Point Navigation and Path Recovery System for Mobile Robots","authors":"Osaki Nakamatsu, T. Wada","doi":"10.1109/itnac53136.2021.9652150","DOIUrl":"https://doi.org/10.1109/itnac53136.2021.9652150","url":null,"abstract":"In recent years, due to the declining birthrate, there are more and more situations where elderly people need to be cared for. As a result, the burden per caregiver has been increasing. As a technology to solve this problem, indoor robot navigation systems that support indoor mobility of those who need care are attracting attention. A navigation system using a mobile robot has components such as position estimation and movement control. As a conventional technique for location estimation, there is a location estimation method using QR codes. In addition, there is a conventional method of mobile control using RSSI. The proposed method presented in this paper is a robot navigation system that replaces QR codes with RFID tags and uses the RSSI-based mobile control method. In addition, we propose a path recovery system when the mobile robot deviates from the path during navigation. In the performance evaluation of navigation between arbitrary points, the maximum error from the ideal trajectory was found to be 13 cm. We also found that the average error between the destination tag and the stop position was 20 cm, while the maximum error was 51 cm. In the performance evaluation of the path recovery system, the maximum error between the ideal path and the stop position was found to be 30 cm.","PeriodicalId":282278,"journal":{"name":"2021 31st International Telecommunication Networks and Applications Conference (ITNAC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131935215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Interference Management for Indoor multicell Visible Light Communication Networks 室内多小区可见光通信网络的干扰管理

2021 31st International Telecommunication Networks and Applications Conference (ITNAC) Pub Date : 2021-11-24 DOI: 10.1109/itnac53136.2021.9652128

Liwei Yang, Xiangyuan Peng, Furong Zhu, Yuanhao Jiang, Xinlai Liu, Wenjie Zhang

引用次数: 2

A Review of DV-Hop localization algorithm DV-Hop定位算法综述

2021 31st International Telecommunication Networks and Applications Conference (ITNAC) Pub Date : 2021-11-24 DOI: 10.1109/itnac53136.2021.9652143

Halima Ghribi, Fakhreddine Khelifa, A. Jemai, M. Salah

{"title":"A Review of DV-Hop localization algorithm","authors":"Halima Ghribi, Fakhreddine Khelifa, A. Jemai, M. Salah","doi":"10.1109/itnac53136.2021.9652143","DOIUrl":"https://doi.org/10.1109/itnac53136.2021.9652143","url":null,"abstract":"In recent years, the wireless sensor network has become a fundamental research area in smart farm and smart irrigation applications. In smart farming applications, the sensors can be scattered randomly via an aircraft, or an airplane,to detect and collect a set of climatic and environmental parameters. The data collected by the sensor nodes don't matter if their locations are unknown. Therefore, it is necessary to determine the location of sensor nodes for correctly interpreting the detected information of communication between nodes. In this case, the location of the sensor nodes is carried out by the use of a set of localization systems such as GPS, GSM, and UWB. These last ones produce a major drawback in terms of huge energy consumption, high cost, and low accuracy in some zone. To resolve these problems, extensive research is being carried out to integrate the range-based or range-free localization algorithm into nodes sensors to improve the localization accuracy. In this paper, we present the performance evaluation of some improved versions of the DV-HOP localization algorithm existing in the literature. Thus, we study the impact of variation in the number of anchor nodes, the number of unknown nodes, and the communication range on the minimum mean square error(MMSE) of these algorithms. In order to make a comparison between the DV HOP algorithm and these versions, we extract a more practical, innovative version.","PeriodicalId":282278,"journal":{"name":"2021 31st International Telecommunication Networks and Applications Conference (ITNAC)","volume":"188 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115427064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Question Answering Model Based Conversational Chatbot using BERT Model and Google Dialogflow 基于BERT模型和谷歌对话流的问答模型会话聊天机器人

2021 31st International Telecommunication Networks and Applications Conference (ITNAC) Pub Date : 2021-11-24 DOI: 10.1109/itnac53136.2021.9652153

Nikita Kanodia, Khandakar Ahmed, Yuan Miao

{"title":"Question Answering Model Based Conversational Chatbot using BERT Model and Google Dialogflow","authors":"Nikita Kanodia, Khandakar Ahmed, Yuan Miao","doi":"10.1109/itnac53136.2021.9652153","DOIUrl":"https://doi.org/10.1109/itnac53136.2021.9652153","url":null,"abstract":"Contemporary conversational chatbots are user-friendly and possess the capabilities to simulate human conversations. However, they cannot evaluate large comprehensive datasets to provide an answer to the user. In contrast, the state-of-the-art Question Answering Model (QAM) trained on a large dataset can answer questions in the given context, and sometimes without context. This research designed a QAM to improve the customer's experience while using a chatbot for reading comprehension tasks using the BERT model and Google Dialogflow. QAM analyses and provides an accurate response using a comprehensive dataset and simulates human-like conversation. BERT model is used to predict accurate answers using the reading comprehension Conversational Question Answering (CoQA) dataset and Google Dialogflow to simulate human-like interactions. QAM extends the conventional way of using Google Dialogflow. A user-friendly Question Answering Model (QAM) reaps the benefits of Google Dialogflow and BERT Model integration. The BERT model and the chatbot interacts with each other using webhook and API. When a user interacts with the Dialogflow chatbot, it matches intents and sends the request to the BERT model. Finally, the BERT model provides an answer to the chatbot and respond to the end-user. The QAM provides accurate responses to end-users for questions based on large datasets.","PeriodicalId":282278,"journal":{"name":"2021 31st International Telecommunication Networks and Applications Conference (ITNAC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125185538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Evaluation of an Actor Model-based Consensus Algorithm on Neo Blockchain 基于参与者模型的Neo区块链共识算法评估

2021 31st International Telecommunication Networks and Applications Conference (ITNAC) Pub Date : 2021-11-24 DOI: 10.1109/itnac53136.2021.9652155

Widya Nita Suliyanti, Muhammad Salman, R. F. Sari

引用次数: 0

Uplifting Healthcare Cyber Resilience with a Multi-access Edge Computing Zero-Trust Security Model 利用多访问边缘计算零信任安全模型提升医疗保健网络弹性

2021 31st International Telecommunication Networks and Applications Conference (ITNAC) Pub Date : 2021-11-24 DOI: 10.1109/itnac53136.2021.9652141

Belal Ali, M. Gregory, Shuo Li

{"title":"Uplifting Healthcare Cyber Resilience with a Multi-access Edge Computing Zero-Trust Security Model","authors":"Belal Ali, M. Gregory, Shuo Li","doi":"10.1109/itnac53136.2021.9652141","DOIUrl":"https://doi.org/10.1109/itnac53136.2021.9652141","url":null,"abstract":"Telemedicine over the Internet of Things has the potential to generate a massive amount of data. To process the data an increase in transmission, computing, storage and analysis capability is required. Utilising cloud computing to handle the increase in data could introduce high latency and increasing storage costs. Multi-access Edge Computing (MEC) has become an essential component of the next generation 5G networks that provide improved reliability and low latency. This paper proposes a model that will enable MEC operators to collect information from the environment that can be analysed before making trust decisions. Trust is achieved by continuously applying authentication and authorisation while maintaining robust management practices to drive the trust decision process. The proposed model trusts the User Equipment (UE) only after verifying user credentials, which are converted into ciphertexts. The integration of different technologies such as computers, medical devices, and telecommunications will significantly improve the efficiency of patient treatment, reduce the cost of health care and improve privacy and security. Trust decisions are based on the trust posture criteria, existing and potential trust relationships, and the MEC environment trust state. The research outcomes show that this approach provides a positive improvement whilst establishing trust.","PeriodicalId":282278,"journal":{"name":"2021 31st International Telecommunication Networks and Applications Conference (ITNAC)","volume":"303 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121467262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

A Battery-Less RFID-Based Wireless Vibration and Physical-Shock Sensing System Using Edge Processing for Long-Term Measurements 基于无电池rfid的无线振动和物理冲击传感系统，采用边缘处理进行长期测量

2021 31st International Telecommunication Networks and Applications Conference (ITNAC) Pub Date : 2021-11-24 DOI: 10.1109/itnac53136.2021.9652161

Zequn Song, Ran Sun, Budi Rahmadya, S. Takeda

引用次数: 2

Multi-service Virtual Network Embedding in Wireless Network 无线网络中多业务虚拟网络嵌入

2021 31st International Telecommunication Networks and Applications Conference (ITNAC) Pub Date : 2021-11-24 DOI: 10.1109/itnac53136.2021.9652137

Letian Li, Wenlong Wei, Weilong Ren, Kaiwei Wang, Shuo Wang

{"title":"Multi-service Virtual Network Embedding in Wireless Network","authors":"Letian Li, Wenlong Wei, Weilong Ren, Kaiwei Wang, Shuo Wang","doi":"10.1109/itnac53136.2021.9652137","DOIUrl":"https://doi.org/10.1109/itnac53136.2021.9652137","url":null,"abstract":"Network virtualization is a key technology that enables the coexistence of multiple heterogeneous networks on the same substrate network, where virtual network embedding is one of the most crucial problems to be solved. Most of previous works about virtual network embedding did not take the QoS requirements of different service types into consideration. Therefore, in this paper, we focus on solving the embedding problem for the virtual network requests with different QoS requirements in wireless network. Besides the bandwidth, we introduce the delay and reliability attributes to describe the QoS requirements of different services. Due to the complexity of the problem, we propose a heuristic algorithm to solve it. In the algorithm, we design a new parameter called Mean Link Quality to show the mean quality of all outgoing links of a node and devise a hop-limit strategy to avoid selecting the paths with large hop count. Simulation results show that the proposed algorithm can achieve higher request acceptance ratio than other algorithms. Moreover, we analyze the effect of different parameter settings on the request acceptance ratio.","PeriodicalId":282278,"journal":{"name":"2021 31st International Telecommunication Networks and Applications Conference (ITNAC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131018453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Data Acquisition from Cloud Network Storage 从云网络存储获取数据

2021 31st International Telecommunication Networks and Applications Conference (ITNAC) Pub Date : 2021-11-24 DOI: 10.1109/itnac53136.2021.9652168

Raymond Lutui, B. Cusack

引用次数: 0