Telecom Pub Date : 2022-03-01 DOI: 10.3390/telecom3010011

Sonain Jamil, Muhibur Rahman, Muhammad Sohail Abbas, Fawad

引用次数: 4

Can the WiMAX IEEE 802.16 Standard Be Used to Resolve Last-Mile Connectivity Issues in Botswana? WiMAX IEEE 802.16标准能否用于解决博茨瓦纳的最后一英里连接问题?

Telecom Pub Date : 2022-02-08 DOI: 10.3390/telecom3010010

Malebogo Mokeresete, B. M. Esiefarienrhe

{"title":"Can the WiMAX IEEE 802.16 Standard Be Used to Resolve Last-Mile Connectivity Issues in Botswana?","authors":"Malebogo Mokeresete, B. M. Esiefarienrhe","doi":"10.3390/telecom3010010","DOIUrl":"https://doi.org/10.3390/telecom3010010","url":null,"abstract":"Some of the advantages of using Worldwide Interoperability Microwave Access (WiMAX) technology at the last-mile level as an access technology include an extensive range of 50 km Line of Sight (LOS), 5 to 15 km Non-Line of Sight, and fewer infrastructure installations compared to other wireless broadband access technologies. Despite positive investments in ICT fiber infrastructure by developing countries, including Botswana, servicing end-users is subjected to high prices and service disparities. The alternative, the Wi-Fi hotspot initiative by the Botswana government, falls short as a solution for last-mile connectivity and access. This study used OPNET simulation Modeler 14.5 to investigate whether Botswana’s national broadband project could adopt WiMAX IEEE 802.16e as an access technology. Therefore, using the experimental method, the simulation evaluated the WiMAX IEEE 802.16e/m over three subscriber locations in Botswana. The results obtained indicate that the deployment of the WiMAX IEEE 802.16e standard can solve most of the deployment issues and access at the last-mile level. Although the findings suggest that WiMAX IEEE 802.16e is more suitable for high-density areas, it could also solve rural areas’ infrastructure development challenges and provide the required high-speed connectivity access. However, unlike the Wi-Fi initiative, which requires more infrastructure deployment and relies less on institutional and regulatory frameworks, the deployment of WiMAX IEEE 802.16e necessitates institutional and regulatory standards.","PeriodicalId":301561,"journal":{"name":"Telecom","volume":"357 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115469053","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: 4

Acknowledgment to Reviewers of Telecom in 2021 向2021年电信审稿人致谢

Telecom Pub Date : 2022-02-04 DOI: 10.3390/telecom3010008

引用次数: 0

Wireless Sensor Networks for Building Information Modeling 用于建筑信息建模的无线传感器网络

Telecom Pub Date : 2022-02-02 DOI: 10.3390/telecom3010007

Dimitrios E. Kontaxis, G. Tsoulos, G. Athanasiadou, G. Giannakis

引用次数: 4

Practical Demonstration of 5G NR Transport Over-Fiber System with Convolutional Neural Network 基于卷积神经网络的5G NR光纤传输系统的实际演示

Telecom Pub Date : 2022-02-02 DOI: 10.3390/telecom3010006

M. Hadi

引用次数: 5

An Unsupervised Machine Learning Approach for UAV-Aided Offloading of 5G Cellular Networks 无人机辅助5G蜂窝网络卸载的无监督机器学习方法

Telecom Pub Date : 2022-01-20 DOI: 10.3390/telecom3010005

Lefteris Tsipi, Michail Karavolos, D. Vouyioukas

{"title":"An Unsupervised Machine Learning Approach for UAV-Aided Offloading of 5G Cellular Networks","authors":"Lefteris Tsipi, Michail Karavolos, D. Vouyioukas","doi":"10.3390/telecom3010005","DOIUrl":"https://doi.org/10.3390/telecom3010005","url":null,"abstract":"Today’s terrestrial cellular communications networks face difficulties in serving coexisting users and devices due to the enormous demands of mass connectivity. Further, natural disasters and unexpected events lead to an unpredictable amount of data traffic, thus causing congestion to the network. In such cases, the addition of on-demand network entities, such as fixed or aerial base stations, has been proposed as a viable solution for managing high data traffic and offloading the existing terrestrial infrastructure. This paper presents an unmanned aerial vehicles (UAVs) aided offloading strategy of the terrestrial network, utilizing an unsupervised machine learning method for the best placement of UAVs in sites with high data traffic. The proposed scheme forms clusters of users located in the affected area using the k-medoid algorithm. Followingly, based on the number of available UAVs, a cluster selection scheme is employed to select the available UAVs that will be deployed to achieve maximum offloading in the system. Comparisons with traditional offloading strategies integrating terrestrial picocells and other UAV-aided schemes show that significant offloading, throughput, spectral efficiency, and sum rate gains can be harvested through the proposed method under a varying number of UAVs.","PeriodicalId":301561,"journal":{"name":"Telecom","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132961310","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

An IoT-Based Encapsulated Design System for Rapid Model Identification of Plant Development 基于物联网的植物发育快速模型识别封装设计系统

Telecom Pub Date : 2022-01-06 DOI: 10.3390/telecom3010004

Hrvoje Novak, Marko Ratkovic, Mateo Cahun, V. Lešić

{"title":"An IoT-Based Encapsulated Design System for Rapid Model Identification of Plant Development","authors":"Hrvoje Novak, Marko Ratkovic, Mateo Cahun, V. Lešić","doi":"10.3390/telecom3010004","DOIUrl":"https://doi.org/10.3390/telecom3010004","url":null,"abstract":"Actual and upcoming climate changes will evidently have the largest impact on agriculture crop cultivation in terms of reduced harvest, increased costs, and necessary deviations from traditional farming. The aggravating factor for the successful applications of precision and predictive agriculture is the lack of granulated historical data due to slow, year-round cycles of crops, as a prerequisite for further analysis and modeling. A methodology of plant growth observation with the rapid performance of experiments is presented in this paper. The proposed system enables the collection of data with respect to various climate conditions, which are artificially created and permuted in the encapsulated design, suitable for further correlation with plant development identifiers. The design is equipped with a large number of sensors and connected to the central database in a computer cloud, which enables the interconnection and coordination of multiple geographically distributed devices and related experiments in a remote, autonomous, and real-time manner. Over 40 sensors and up to 24 yearly harvests per device enable the yearly collection of approximately 750,000 correlated database entries, which it is possible to independently stack with higher numbers of devices. Such accumulated data is exploited to develop mathematical models of wheat in different growth stages by applying the concepts of artificial intelligence and utilizing them for the prediction of crop development and harvest.","PeriodicalId":301561,"journal":{"name":"Telecom","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124205393","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: 1

A Novel Dual-Band Implantable Antenna for Pancreas Telemetry Sensor Applications 一种用于胰腺遥测传感器的新型双波段植入式天线

Telecom Pub Date : 2022-01-01 DOI: 10.3390/telecom3010001

M. Matthaiou, S. Koulouridis, S. Kotsopoulos

引用次数: 3

A Node Placement Algorithm Utilizing Mobile Nodes in WSN and IoT Networks WSN和IoT网络中利用移动节点的节点放置算法

Telecom Pub Date : 2022-01-01 DOI: 10.3390/telecom3010002

Natalie Temene, Charalampos Sergiou, Christiana Ioannou, Chryssis Georgiou, V. Vassiliou

{"title":"A Node Placement Algorithm Utilizing Mobile Nodes in WSN and IoT Networks","authors":"Natalie Temene, Charalampos Sergiou, Christiana Ioannou, Chryssis Georgiou, V. Vassiliou","doi":"10.3390/telecom3010002","DOIUrl":"https://doi.org/10.3390/telecom3010002","url":null,"abstract":"The operation of the Internet of Things (IoT) networks and Wireless Sensor Networks (WSN) is often disrupted by a number of problems, such as path disconnections, network segmentation, node faults, and security attacks. A method that gains momentum in resolving some of those issues is the use of mobile nodes or nodes deployed by mobile robots. The use of mobile elements essentially increases the resources and the capacity of the network. In this work, we present a Node Placement Algorithm with two variations, which utilizes mobile nodes for the creation of alternative paths from source to sink. The first variation employs mobile nodes that create locally-significant alternative paths leading to the sink. The second variation employs mobile nodes that create completely individual (disjoint) paths to the sink. We then extend the local variation of the algorithm by also accounting for the energy levels of the nodes as a contributing factor regarding the creation of alternative paths. We offer both a high-level description of the concept and also detailed algorithmic solutions. The evaluation of the solutions was performed in a case study of resolving congestion in the network. Results have shown that the proposed algorithms can significantly contribute to the alleviation of the problem of congestion in IoT and WSNs and can easily be used for other types of network problems.","PeriodicalId":301561,"journal":{"name":"Telecom","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121896176","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: 4

Backscattered Visible Light Sensing of Retroreflective Foils Utilizing Random Forest Based Classification for Speed and Movement Direction Determination and Identification of an Indoor Moving Object 基于随机森林分类的后向散射可见光反射箔对室内运动物体的速度和运动方向的确定与识别

Telecom Pub Date : 2021-12-13 DOI: 10.3390/telecom2040032

A. Weiss, F. Wenzl

{"title":"Backscattered Visible Light Sensing of Retroreflective Foils Utilizing Random Forest Based Classification for Speed and Movement Direction Determination and Identification of an Indoor Moving Object","authors":"A. Weiss, F. Wenzl","doi":"10.3390/telecom2040032","DOIUrl":"https://doi.org/10.3390/telecom2040032","url":null,"abstract":"Making the Internet of Things “green” has become a major research focus in recent years. The anticipated massive increase in the numbers of sensor and communication devices makes this endeavor even more important, resulting in various solution approaches ranging from energy harvesting to energy efficient routing schemes. In this work, we propose a system that can perform some of the main tasks of the Internet of Things, namely identification and sensing of an indoor moving object, by the means of visible light sensing in combination with off-the-shelf retroreflective foils, without the necessity to place any actively powered components on the object itself. By utilizing the supervised machine learning approach of random forest, we show that these two tasks can be fulfilled with up to 99.96% accuracy. Based on our previous findings in this regard, we propose some advancements and improvements of the overall system, yielding better results in parallel with an increased complexity of the system. Furthermore, we expand the number of performable tasks toward additional movement direction determination. The achieved results demonstrate the applicability of visible light sensing and its potentials for a “green” Internet of Things.","PeriodicalId":301561,"journal":{"name":"Telecom","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124600934","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

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