Pub Date : 2022-10-01DOI: 10.1109/FNWF55208.2022.00081
Luz E. Marquez, Maria Calle
The growth of Internet of Things applications such as smart cities, leads to an increase in the number of connected objects. In some cases, a requirement of such applications is the location of devices for monitoring and management. This paper develops a methodology for the location of different nodes based on the signal levels received in a LoRaWAN network. The goal is to detect changes in node positions of at least 100 m with a limited amount of data. The procedure involves data analysis, preprocessing, and evaluation of different machine learning algorithms to locate the nodes. Due to the large data volume requirements for the selected algorithms, the work includes the application of a simple-to-implement data augmentation technique. As a result, the best performing algorithm was K Nearest Neighbors with an average error of 12 m.
{"title":"Machine learning for localization in LoRaWAN: a case study with data augmentation","authors":"Luz E. Marquez, Maria Calle","doi":"10.1109/FNWF55208.2022.00081","DOIUrl":"https://doi.org/10.1109/FNWF55208.2022.00081","url":null,"abstract":"The growth of Internet of Things applications such as smart cities, leads to an increase in the number of connected objects. In some cases, a requirement of such applications is the location of devices for monitoring and management. This paper develops a methodology for the location of different nodes based on the signal levels received in a LoRaWAN network. The goal is to detect changes in node positions of at least 100 m with a limited amount of data. The procedure involves data analysis, preprocessing, and evaluation of different machine learning algorithms to locate the nodes. Due to the large data volume requirements for the selected algorithms, the work includes the application of a simple-to-implement data augmentation technique. As a result, the best performing algorithm was K Nearest Neighbors with an average error of 12 m.","PeriodicalId":300165,"journal":{"name":"2022 IEEE Future Networks World Forum (FNWF)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116193720","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}
Pub Date : 2022-10-01DOI: 10.1109/FNWF55208.2022.00097
M. I. Rochman, V. Sathya, M. Ghosh
While millimeter wave (mmWave) channel modeling and propagation studies using channel sounders have been carried out for many years, the performance of commercially deployed 5G mmWave cellular networks has only recently begun to be thoroughly evaluated, mostly in outdoor environments. A recent measurement study [1] predicted outdoor-to-indoor (OtI) mmWave downlink throughputs of 500 Mbps - 2.5 Gbps based on measurements using channel sounders, not with measurements on deployed networks and consumer devices. In this paper, we report the first detailed OtI measurements of commercially deployed 5G mmWave using consumer handsets in a location in Chicago where a Verizon 5G mmWave base-station (BS) is deployed across the street about 25m from an university dormitory. Our detailed indoor measurements of uplink (UL) and downlink (DL) throughput and latency contradict the results in [1] and demonstrate that OtI 5G mmWave reception is extremely variable: maximum DL throughput of about 1.8 Gbps is obtained only in a very small number of locations where the user equipment (UE) is line-of-sight (LoS) to the BS through an open window. In general, the 5G mmWave connection performed better than low-band 5G in terms of DL throughput. However for UL throughput and latency, the UE performed better when connected to low-band 5G under non-LoS (NLoS) conditions compared to 5G mmWave. Furthermore, when the windows are shut, i.e., there is no Verizon 5G mmWave reception indoors, we observed better OtI DL throughput from mid-band 5G deployed by T-Mobile compared to Verizon 5G NR in the low band. Thus on overall, there is only an extremely small advantage in performance from OtI 5G mmWave reception compared to low and mid-band 5G.
{"title":"Outdoor-to-Indoor Performance Analysis of a Commercial Deployment of 5G mmWave","authors":"M. I. Rochman, V. Sathya, M. Ghosh","doi":"10.1109/FNWF55208.2022.00097","DOIUrl":"https://doi.org/10.1109/FNWF55208.2022.00097","url":null,"abstract":"While millimeter wave (mmWave) channel modeling and propagation studies using channel sounders have been carried out for many years, the performance of commercially deployed 5G mmWave cellular networks has only recently begun to be thoroughly evaluated, mostly in outdoor environments. A recent measurement study [1] predicted outdoor-to-indoor (OtI) mmWave downlink throughputs of 500 Mbps - 2.5 Gbps based on measurements using channel sounders, not with measurements on deployed networks and consumer devices. In this paper, we report the first detailed OtI measurements of commercially deployed 5G mmWave using consumer handsets in a location in Chicago where a Verizon 5G mmWave base-station (BS) is deployed across the street about 25m from an university dormitory. Our detailed indoor measurements of uplink (UL) and downlink (DL) throughput and latency contradict the results in [1] and demonstrate that OtI 5G mmWave reception is extremely variable: maximum DL throughput of about 1.8 Gbps is obtained only in a very small number of locations where the user equipment (UE) is line-of-sight (LoS) to the BS through an open window. In general, the 5G mmWave connection performed better than low-band 5G in terms of DL throughput. However for UL throughput and latency, the UE performed better when connected to low-band 5G under non-LoS (NLoS) conditions compared to 5G mmWave. Furthermore, when the windows are shut, i.e., there is no Verizon 5G mmWave reception indoors, we observed better OtI DL throughput from mid-band 5G deployed by T-Mobile compared to Verizon 5G NR in the low band. Thus on overall, there is only an extremely small advantage in performance from OtI 5G mmWave reception compared to low and mid-band 5G.","PeriodicalId":300165,"journal":{"name":"2022 IEEE Future Networks World Forum (FNWF)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132181798","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}
Pub Date : 2022-10-01DOI: 10.1109/FNWF55208.2022.00019
P. Bellavista, Mattia Fogli, L. Foschini, Carlo Giannelli, Lorenzo Patera, C. Stefanelli
The manufacturing sector represents a notable use case of the Industry 4.0 revolution, heavily stressing the capability of plants to ensure the desired QoS. Currently, manufacturing plants are characterized by an increasing amount of non-mission-critical traffic, in addition to traditional mission-critical safety-related traffic, which is negligible in comparison. Since computing and networking capabilities are no longer as abundant as in the past, there is the need to properly manage available resources. To ensure challenging QoS requirements, we propose a novel protocol suite specifically designed for our QoS-enabled semantic routing framework. Such a framework adopts an architecture that fits the characteristics of modern manufacturing environments and exploits an overlay networking solution providing a semantic routing substrate that operates both at the application and network layers.
{"title":"A Framework for QoS- Enabled Semantic Routing in Industrial Networks: Overall Architecture and Primary Protocols","authors":"P. Bellavista, Mattia Fogli, L. Foschini, Carlo Giannelli, Lorenzo Patera, C. Stefanelli","doi":"10.1109/FNWF55208.2022.00019","DOIUrl":"https://doi.org/10.1109/FNWF55208.2022.00019","url":null,"abstract":"The manufacturing sector represents a notable use case of the Industry 4.0 revolution, heavily stressing the capability of plants to ensure the desired QoS. Currently, manufacturing plants are characterized by an increasing amount of non-mission-critical traffic, in addition to traditional mission-critical safety-related traffic, which is negligible in comparison. Since computing and networking capabilities are no longer as abundant as in the past, there is the need to properly manage available resources. To ensure challenging QoS requirements, we propose a novel protocol suite specifically designed for our QoS-enabled semantic routing framework. Such a framework adopts an architecture that fits the characteristics of modern manufacturing environments and exploits an overlay networking solution providing a semantic routing substrate that operates both at the application and network layers.","PeriodicalId":300165,"journal":{"name":"2022 IEEE Future Networks World Forum (FNWF)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132266795","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}
Pub Date : 2022-10-01DOI: 10.1109/FNWF55208.2022.00069
Marius Iordache, Oana Badita, Bogdan Rusti, A. Bonea, G. Suciu, E. Giannopoulou, G. Landi, Nina Slamnik-Kriještorac
5G Stand Alone (SA) networks are in the process of implementation, as the today's progress of the main business services to migrate to the 5G new services communication (enhanced Mobile Broadband - eMBB, Ultra Reliable Low Latency Communications - URLLC, massive Machine Type Communications - mMTC) is estimated to slowly increase. There have been identified some key aspects responsible for the novel 5G communication adoption process, such as the complexity of the services deployment and the clear understanding of the huge potential of the technology that can further support the 5G vertical's stakeholders. This paper is representing the work of the EU funded project VITAL-5G in deploying 5G Stand Alone 3GPP Rel.16 testbeds, with enhanced network and services capabilities and 5G resources available to be offered to industries vertical's customers. The 5G solution of the testbed design is covering several aspects of the future 5G network implementation, such as services management and orchestration, automation of resources allocation, 5G network slicing (Radio Access Network, Core and Transport) and user traffic prioritization according to the service slice needs, eMBB and URLLC. An important aspect is the availability of the entire 5G ecosystem to be offered to the 5G developers and 3 rd parties for advanced and extensive trials such as Innovative Network Application (N etApps) implementations. By abstracting the complexity of underlying 5G infrastructure, reducing the time of service creation and deployment and optimizing the 5G resource usage, N etApps is a key enabler of 5G adoption.
{"title":"Future 5G network implementation and open testbeds deployment for real 5G experiments","authors":"Marius Iordache, Oana Badita, Bogdan Rusti, A. Bonea, G. Suciu, E. Giannopoulou, G. Landi, Nina Slamnik-Kriještorac","doi":"10.1109/FNWF55208.2022.00069","DOIUrl":"https://doi.org/10.1109/FNWF55208.2022.00069","url":null,"abstract":"5G Stand Alone (SA) networks are in the process of implementation, as the today's progress of the main business services to migrate to the 5G new services communication (enhanced Mobile Broadband - eMBB, Ultra Reliable Low Latency Communications - URLLC, massive Machine Type Communications - mMTC) is estimated to slowly increase. There have been identified some key aspects responsible for the novel 5G communication adoption process, such as the complexity of the services deployment and the clear understanding of the huge potential of the technology that can further support the 5G vertical's stakeholders. This paper is representing the work of the EU funded project VITAL-5G in deploying 5G Stand Alone 3GPP Rel.16 testbeds, with enhanced network and services capabilities and 5G resources available to be offered to industries vertical's customers. The 5G solution of the testbed design is covering several aspects of the future 5G network implementation, such as services management and orchestration, automation of resources allocation, 5G network slicing (Radio Access Network, Core and Transport) and user traffic prioritization according to the service slice needs, eMBB and URLLC. An important aspect is the availability of the entire 5G ecosystem to be offered to the 5G developers and 3 rd parties for advanced and extensive trials such as Innovative Network Application (N etApps) implementations. By abstracting the complexity of underlying 5G infrastructure, reducing the time of service creation and deployment and optimizing the 5G resource usage, N etApps is a key enabler of 5G adoption.","PeriodicalId":300165,"journal":{"name":"2022 IEEE Future Networks World Forum (FNWF)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133618452","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}
Pub Date : 2022-10-01DOI: 10.1109/FNWF55208.2022.00034
Guanwen Li, D. Lou, A. Galis, Jinze Yang, Chuang Wang, Sheng Jiang, Zhe Chen, Xing Tong
With the rapid and continuous development of the Internet, it is foreseeable that current addressing schemes and fixed-length IP addresses would create further bottlenecks and limitations in realizing future 6G networking requirements, such as massive connections, resource-constrained communication, and heterogeneous hyper interconnections and guaranteeing agreement-based services and KPIs. Moreover, the locator-based addressing semantic is unsuitable for mobile and content-oriented networks. Thus, this paper proposes the Open Unified Addressing (OUA) system, a novel, flexible, multi-semantic and hierarchical addressing architecture that better supports the flexibility and extensibility of the Internet protocol framework in the context of 6G Communications. The OUA addresses several limitations in the current IP protocol and improves communication efficiency. According to the evaluation with two typical forwarding models, the results show that the OUA system has almost no impact on forwarding delay. Moreover, it can provide scalable addressing spaces and shorten the route convergence time.
{"title":"An Open Unified Addressing System for 6G Communication Networks","authors":"Guanwen Li, D. Lou, A. Galis, Jinze Yang, Chuang Wang, Sheng Jiang, Zhe Chen, Xing Tong","doi":"10.1109/FNWF55208.2022.00034","DOIUrl":"https://doi.org/10.1109/FNWF55208.2022.00034","url":null,"abstract":"With the rapid and continuous development of the Internet, it is foreseeable that current addressing schemes and fixed-length IP addresses would create further bottlenecks and limitations in realizing future 6G networking requirements, such as massive connections, resource-constrained communication, and heterogeneous hyper interconnections and guaranteeing agreement-based services and KPIs. Moreover, the locator-based addressing semantic is unsuitable for mobile and content-oriented networks. Thus, this paper proposes the Open Unified Addressing (OUA) system, a novel, flexible, multi-semantic and hierarchical addressing architecture that better supports the flexibility and extensibility of the Internet protocol framework in the context of 6G Communications. The OUA addresses several limitations in the current IP protocol and improves communication efficiency. According to the evaluation with two typical forwarding models, the results show that the OUA system has almost no impact on forwarding delay. Moreover, it can provide scalable addressing spaces and shorten the route convergence time.","PeriodicalId":300165,"journal":{"name":"2022 IEEE Future Networks World Forum (FNWF)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122005721","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}
Pub Date : 2022-10-01DOI: 10.1109/FNWF55208.2022.00094
Sumit Kumar, Ashish Meshram, A. Astro, J. Querol, T. Schlichter, G. Casati, T. Heyn, F. Völk, R. Schwarz, A. Knopp, Paulo Marques, Luis Pereira, R. Magueta, A. Kapovits, F. Kaltenberger
Technical advancements and experimental works for the integration of 5G and Non-Terrestrial Networks (NTN) have gained significant traction over the past few years. NTN components have been officially included in the 5G ecosystem by 3GPP in the latest Release-17. 5G-NTN research is ongoing and it is desirable to have a platform that facilitates quick prototyping of the proof-of-concept methods. OpenAirInterface(OAI) is an open-source experimental yet 3GPP standard-compliant Software Defined Radio (SDR) based protocol stack that has been widely known for implementing 4G/5G technologies. Due to its proven capabilities and flexibility, OAI is currently in the developmental process of integrating adaptations for the 5G-NTN. In this work, we discuss the peculiar features of OAI which are shaping it towards becoming a preferred tool for research and experimentation related to 5G-NTN. We provide details of completed/ongoing 5G-NTN projects leveraging OAI to achieve their objectives. In particular, we discuss 5G-GOA and 5G-LEO where critical adaptations in OAI are being done to support 5G-NTN use-cases. Such adaptations enable direct-access between UE and gNB via transparent payload Geostationary (5G-GOA) and Non-geostationary satellites (5G-LEO). Both projects have closely followed 3GPP discussions over 5G-NTN and the adaptations are compliant with the currently frozen 3GPP Release-17. OAI adaptations from both projects will be merged into the main development branch of OAI. We also provide a future roadmap of OAI towards 5G-NTN development. We believe that the pioneering steps taken in the course of the aforementioned projects will establish OAI as a preferred tool for 5G-NTN research and experimentations.
{"title":"OpenAirInterface as a platform for 5G-NTN Research and Experimentation","authors":"Sumit Kumar, Ashish Meshram, A. Astro, J. Querol, T. Schlichter, G. Casati, T. Heyn, F. Völk, R. Schwarz, A. Knopp, Paulo Marques, Luis Pereira, R. Magueta, A. Kapovits, F. Kaltenberger","doi":"10.1109/FNWF55208.2022.00094","DOIUrl":"https://doi.org/10.1109/FNWF55208.2022.00094","url":null,"abstract":"Technical advancements and experimental works for the integration of 5G and Non-Terrestrial Networks (NTN) have gained significant traction over the past few years. NTN components have been officially included in the 5G ecosystem by 3GPP in the latest Release-17. 5G-NTN research is ongoing and it is desirable to have a platform that facilitates quick prototyping of the proof-of-concept methods. OpenAirInterface(OAI) is an open-source experimental yet 3GPP standard-compliant Software Defined Radio (SDR) based protocol stack that has been widely known for implementing 4G/5G technologies. Due to its proven capabilities and flexibility, OAI is currently in the developmental process of integrating adaptations for the 5G-NTN. In this work, we discuss the peculiar features of OAI which are shaping it towards becoming a preferred tool for research and experimentation related to 5G-NTN. We provide details of completed/ongoing 5G-NTN projects leveraging OAI to achieve their objectives. In particular, we discuss 5G-GOA and 5G-LEO where critical adaptations in OAI are being done to support 5G-NTN use-cases. Such adaptations enable direct-access between UE and gNB via transparent payload Geostationary (5G-GOA) and Non-geostationary satellites (5G-LEO). Both projects have closely followed 3GPP discussions over 5G-NTN and the adaptations are compliant with the currently frozen 3GPP Release-17. OAI adaptations from both projects will be merged into the main development branch of OAI. We also provide a future roadmap of OAI towards 5G-NTN development. We believe that the pioneering steps taken in the course of the aforementioned projects will establish OAI as a preferred tool for 5G-NTN research and experimentations.","PeriodicalId":300165,"journal":{"name":"2022 IEEE Future Networks World Forum (FNWF)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124888343","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}
Pub Date : 2022-10-01DOI: 10.1109/FNWF55208.2022.00043
Huan-Ting Lin, Hakimeh Purmehdi, Yuxin Zhao, W. Peng
The fifth generation (5G) of mobile communication technology has developed rapidly in recent years. Millimeter wave (mmWave) communication, multi-input-multi-output (MIMO) techniques and beamforming technologies are widely considered for the 5G communication systems. The deployment of 5G networks in most countries is still sparse and real-world 5G signal acquisition is yet difficult and expensive. Therefore, simulation of the 5G environment and signal becomes a critical and vital approach for the research and development in various aspects of 5G wireless networks. The challenge is even more serious in the research of this domain where access to reliable datasets or regenerating simulated data to develop or improve solutions are sometimes extremely difficult processes or impossible. In this paper, we address this gap in the literature by developing a simulator for a 5G environment which considers the design of any urban area and generates beamformed MIMO air interface signals. This simulator is a key step to generate near-realistic data samples (i.e., dataset) which can be further used for various research topics on the 5G. As an example, we use this simulated data for the training of the machine learning models for an indoor positioning use-case scenario. The deterministic three-dimensional raytracing techniques are used to build the simulation model via a commercial software Wireless Insite. This paper describes the structure of the simulator, explains the details of generating and collecting the data samples, and interprets the obtained datasets for indoor localization, as a use-case example. The main goal here is to provide sufficient information and resources to regenerate this dataset for future research works on similar topics.
{"title":"Building 5G Fingerprint Datasets for Accurate Indoor Positioning","authors":"Huan-Ting Lin, Hakimeh Purmehdi, Yuxin Zhao, W. Peng","doi":"10.1109/FNWF55208.2022.00043","DOIUrl":"https://doi.org/10.1109/FNWF55208.2022.00043","url":null,"abstract":"The fifth generation (5G) of mobile communication technology has developed rapidly in recent years. Millimeter wave (mmWave) communication, multi-input-multi-output (MIMO) techniques and beamforming technologies are widely considered for the 5G communication systems. The deployment of 5G networks in most countries is still sparse and real-world 5G signal acquisition is yet difficult and expensive. Therefore, simulation of the 5G environment and signal becomes a critical and vital approach for the research and development in various aspects of 5G wireless networks. The challenge is even more serious in the research of this domain where access to reliable datasets or regenerating simulated data to develop or improve solutions are sometimes extremely difficult processes or impossible. In this paper, we address this gap in the literature by developing a simulator for a 5G environment which considers the design of any urban area and generates beamformed MIMO air interface signals. This simulator is a key step to generate near-realistic data samples (i.e., dataset) which can be further used for various research topics on the 5G. As an example, we use this simulated data for the training of the machine learning models for an indoor positioning use-case scenario. The deterministic three-dimensional raytracing techniques are used to build the simulation model via a commercial software Wireless Insite. This paper describes the structure of the simulator, explains the details of generating and collecting the data samples, and interprets the obtained datasets for indoor localization, as a use-case example. The main goal here is to provide sufficient information and resources to regenerate this dataset for future research works on similar topics.","PeriodicalId":300165,"journal":{"name":"2022 IEEE Future Networks World Forum (FNWF)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127115599","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}
Pub Date : 2022-10-01DOI: 10.1109/FNWF55208.2022.00125
Arian Fotouhi, S. Okegbile, Jun Cai
As the era of big data continues to evolve, the importance of effective data management and sharing frameworks continues to emerge. While data sharing can play a crucial role in the big data evolution, privacy and security concerns are among the confronting challenges. With the advent of blockchain, many health and financial entities continue to attract blockchain technology due to its tamper-proof and decentralized framework. In this paper, we propose a secure and privacy-preserving data sharing framework by introducing a trust-enhanced proof of authority consensus scheme with the ability to take into consideration users' trust and protection factors. We then provide an implementation of the proposed scheme to demonstrate its ability to ensure safe data sharing process. We showed that the proposed trust-enhanced proof of authority consensus-enabled data sharing framework can facilitate effective data sharing processes among multiple data owners and data requesters in real practical implementations.
{"title":"Trust-enhanced blockchain-enabled framework for secure and privacy-preserving data sharing systems","authors":"Arian Fotouhi, S. Okegbile, Jun Cai","doi":"10.1109/FNWF55208.2022.00125","DOIUrl":"https://doi.org/10.1109/FNWF55208.2022.00125","url":null,"abstract":"As the era of big data continues to evolve, the importance of effective data management and sharing frameworks continues to emerge. While data sharing can play a crucial role in the big data evolution, privacy and security concerns are among the confronting challenges. With the advent of blockchain, many health and financial entities continue to attract blockchain technology due to its tamper-proof and decentralized framework. In this paper, we propose a secure and privacy-preserving data sharing framework by introducing a trust-enhanced proof of authority consensus scheme with the ability to take into consideration users' trust and protection factors. We then provide an implementation of the proposed scheme to demonstrate its ability to ensure safe data sharing process. We showed that the proposed trust-enhanced proof of authority consensus-enabled data sharing framework can facilitate effective data sharing processes among multiple data owners and data requesters in real practical implementations.","PeriodicalId":300165,"journal":{"name":"2022 IEEE Future Networks World Forum (FNWF)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127619323","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}
Pub Date : 2022-10-01DOI: 10.1109/FNWF55208.2022.00112
J. Garcia-Luna-Aceves
The Routing Information Protocol with Probing for Looplessness and Efficiency (RIPPLE) is introduced for loop-free multi-path routing. Each router maintains the distance and the hop-count (called the hop-count reference) along its preferred path to each destination. Routers are allowed to select neighbors as next hops to destinations as long as they satisfy an ordering condition based on the values of hop-count references. If needed, routers use probes to find valid routes provided by routers with the same hop-count references as those stated in probes. RIPPLE is shown to be loop-free, which allows it to converge to shortest paths within a finite time even when nodes fail or the network partitions. RIPPLE is also shown to be near-optimal in terms of the time routers take to attain new loop-free routes to destinations.
{"title":"RIPPLE: Loop-Free Multi-Path Routing with Minimum Blocking during Convergence","authors":"J. Garcia-Luna-Aceves","doi":"10.1109/FNWF55208.2022.00112","DOIUrl":"https://doi.org/10.1109/FNWF55208.2022.00112","url":null,"abstract":"The Routing Information Protocol with Probing for Looplessness and Efficiency (RIPPLE) is introduced for loop-free multi-path routing. Each router maintains the distance and the hop-count (called the hop-count reference) along its preferred path to each destination. Routers are allowed to select neighbors as next hops to destinations as long as they satisfy an ordering condition based on the values of hop-count references. If needed, routers use probes to find valid routes provided by routers with the same hop-count references as those stated in probes. RIPPLE is shown to be loop-free, which allows it to converge to shortest paths within a finite time even when nodes fail or the network partitions. RIPPLE is also shown to be near-optimal in terms of the time routers take to attain new loop-free routes to destinations.","PeriodicalId":300165,"journal":{"name":"2022 IEEE Future Networks World Forum (FNWF)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124347856","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}
Pub Date : 2022-10-01DOI: 10.1109/FNWF55208.2022.00011
Edwin Fischer, Outmane Laaroussi, O. Segou, J. Monserrat, D. García-Roger, Roman Antun Saakel, Timothe Scheich
The three Horizon 2020 ICT -18 projects 5G- CARMEN, 5GCroCo, and 5G-MOBIX conducted deployment studies on 5G for Connected and Automated Mobility (CAM) on European road transportation cross-border corridors based upon upon their target cross-border corridors. These cross- border corridors represent a broad sample of road arteria of the Trans-European Transport Network (TEN-T) with very different geographic characteristics, representative of a wide range of 5G for CAM deployments in Europe and even beyond. The deployment studies share technical commonalities like 5G New Radio deployment in the low band and mid-band spectrum but take into consideration distinct assumptions, e.g., penetration and load for radio planning and deployment. Dimensioning for evolving capacity requirements is applied based on 5G for CAM use cases including non-CAM background traffic. The deployment of Mobile Edge Computing (MEC) is considered for CAM in all three studies, partly with different deployment options. The studies include a range of cost indications for 5G deployment and partially discuss the economic viability of 5G deployment on road corridors based on commercial assumptions, and, in economically challenging corridor sections, even with potential support of public co- financing schemes. Complementing these three studies, a metastudy has been produced, providing a comparative analysis plus a gap analysis identifying additional elements for further study to foster cross-border deployment of 5G for CAM. Elements and findings of these deployment studies can be used in ongoing research and innovation projects, but also in future deployment studies and real deployment activities related to 5G for CAM, namely in the context of the Connecting Europe Facility (CEF2)-Digital 5G corridor initiative.
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