Pub Date : 2022-11-30DOI: 10.1109/ITNAC55475.2022.9998420
Zhong Wen, Bing Yang, Haoxing Zhang
In hybrid traffic where autonomous vehicles share roads with human-driven vehicles, mismatch between estimated and actual behaviors of human-driven vehicles leads to inefficient control, and results collisions in the worst case. The paper aims to propose a method to reduce the risks generated by human- driven vehicles. We uses the widespread internet of things and the number of the connected devices in intelligent transportation for safety, energy saving and comfort. We also address the emerging technologies in intelligent transportation environments. A simulation platform for hybrid traffic is proposed and designed to simulate various scenarios that are difficult to study in the real world. Simulation results demonstrate that our method can improve driving efficiency.
{"title":"Autonomous Driving Simulation for Hybrid Traffic","authors":"Zhong Wen, Bing Yang, Haoxing Zhang","doi":"10.1109/ITNAC55475.2022.9998420","DOIUrl":"https://doi.org/10.1109/ITNAC55475.2022.9998420","url":null,"abstract":"In hybrid traffic where autonomous vehicles share roads with human-driven vehicles, mismatch between estimated and actual behaviors of human-driven vehicles leads to inefficient control, and results collisions in the worst case. The paper aims to propose a method to reduce the risks generated by human- driven vehicles. We uses the widespread internet of things and the number of the connected devices in intelligent transportation for safety, energy saving and comfort. We also address the emerging technologies in intelligent transportation environments. A simulation platform for hybrid traffic is proposed and designed to simulate various scenarios that are difficult to study in the real world. Simulation results demonstrate that our method can improve driving efficiency.","PeriodicalId":205731,"journal":{"name":"2022 32nd International Telecommunication Networks and Applications Conference (ITNAC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126911198","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 : 2022-11-30DOI: 10.1109/ITNAC55475.2022.9998376
H. Alotaibi, M. Gregory, Shuo Li
The Border Gateway Protocol (BGP) is used between Autonomous Systems (AS) to enable and exchange routing information. AS are allocated an Autonomous System Number (ASN). The ASN, utilized in BGP routing, represents the grouping of Internet Protocol (IP) routing prefixes allotted to a single administrative domain. Classless Interdomain-Routing (CIDR) is used to support hierarchical routing in the Internet backbone. As the Internet has grown, BGP has been updated to tackle challenges, including the growing routing tables, improved load-balancing, BGP-hijacking and security, and AS transit times. One major issue remaining is the BGP convergence delay, which is the time taken for a set of routers to agree on the network topology. Convergence delay has become an issue for large networks due to changing network topologies causing route updates and path failures that cause instability in the network. A network's instability might cause packet loss or delay, loss of connectivity, and a delay in message transmission. In this research, we propose a novel technique named “MultiState-BGP Manager” that controls and manages multi-domain SDN networks and decreases the BGP convergence delay.
{"title":"MultiState-BGP Manager for Multi-Domain SDN","authors":"H. Alotaibi, M. Gregory, Shuo Li","doi":"10.1109/ITNAC55475.2022.9998376","DOIUrl":"https://doi.org/10.1109/ITNAC55475.2022.9998376","url":null,"abstract":"The Border Gateway Protocol (BGP) is used between Autonomous Systems (AS) to enable and exchange routing information. AS are allocated an Autonomous System Number (ASN). The ASN, utilized in BGP routing, represents the grouping of Internet Protocol (IP) routing prefixes allotted to a single administrative domain. Classless Interdomain-Routing (CIDR) is used to support hierarchical routing in the Internet backbone. As the Internet has grown, BGP has been updated to tackle challenges, including the growing routing tables, improved load-balancing, BGP-hijacking and security, and AS transit times. One major issue remaining is the BGP convergence delay, which is the time taken for a set of routers to agree on the network topology. Convergence delay has become an issue for large networks due to changing network topologies causing route updates and path failures that cause instability in the network. A network's instability might cause packet loss or delay, loss of connectivity, and a delay in message transmission. In this research, we propose a novel technique named “MultiState-BGP Manager” that controls and manages multi-domain SDN networks and decreases the BGP convergence delay.","PeriodicalId":205731,"journal":{"name":"2022 32nd International Telecommunication Networks and Applications Conference (ITNAC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126601683","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 : 2022-11-30DOI: 10.1109/ITNAC55475.2022.9998396
Husam Rajab, M. Kamel, Alaa Khalaf Hamoud, Hossam M. Farag, T. Cinkler, P. Ligeti
With the remarkable advancements in wireless technology, the scarcity of the available spectrum has become more severe. Cognitive Radio (CR) technology is introduced as an emerging solution to alleviate the imbalance between spectrum under-utilization and high spectrum demands. CR enables unlicensed users to opportunistically transmit data through spectrum holes in licensed bands. In the context of smart grids, CR has become a key component to improve communication efficiency and spectrum usage. In particular emergency situations, some nodes are prone to failure, however the network must remain connected to the designated destination. In addition, the generated emergency communication and disaster relief cause high load of traffic that in turn will lead to congestion and affect the network coverage and capacity. In this paper, we introduced an efficient CR-based architecture for Smart Grid networks to enhance capacity coverage and scalability in the disaster and emergency case. The architecture is decentralized and consists of a set of clusters that communicate with each other in a secure way through number of gateways. CRT-based group key management has been used to manage the distribution of keys between gateways. In addition, the asymmetric encryption will assure the confidentiality of transmitted packets.
{"title":"Cognitive Radio for Smart Grid: A Decentralized Emergency Management Approach","authors":"Husam Rajab, M. Kamel, Alaa Khalaf Hamoud, Hossam M. Farag, T. Cinkler, P. Ligeti","doi":"10.1109/ITNAC55475.2022.9998396","DOIUrl":"https://doi.org/10.1109/ITNAC55475.2022.9998396","url":null,"abstract":"With the remarkable advancements in wireless technology, the scarcity of the available spectrum has become more severe. Cognitive Radio (CR) technology is introduced as an emerging solution to alleviate the imbalance between spectrum under-utilization and high spectrum demands. CR enables unlicensed users to opportunistically transmit data through spectrum holes in licensed bands. In the context of smart grids, CR has become a key component to improve communication efficiency and spectrum usage. In particular emergency situations, some nodes are prone to failure, however the network must remain connected to the designated destination. In addition, the generated emergency communication and disaster relief cause high load of traffic that in turn will lead to congestion and affect the network coverage and capacity. In this paper, we introduced an efficient CR-based architecture for Smart Grid networks to enhance capacity coverage and scalability in the disaster and emergency case. The architecture is decentralized and consists of a set of clusters that communicate with each other in a secure way through number of gateways. CRT-based group key management has been used to manage the distribution of keys between gateways. In addition, the asymmetric encryption will assure the confidentiality of transmitted packets.","PeriodicalId":205731,"journal":{"name":"2022 32nd International Telecommunication Networks and Applications Conference (ITNAC)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133461256","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 : 2022-11-30DOI: 10.1109/ITNAC55475.2022.9998368
Hans-Jürgen Zepernick, M. Iqbal, S. Khatibi, T. Duong, Momin Jamil, R. Esslinger
This paper studies a header syntax repair approach for quality enhancement of digital video broadcasting (DMB) videos. A sensitivity analysis of the impact of transmission errors in different parts of the header of the underlying MPEG-2 transport stream packets on DMB video quality is provided. On this basis, a header syntax repair approach is presented using header masks and bounded minimum distance decoding of the headers of the received DMB packets. Objective and subjective quality assessment show a tremendous improvement in the quality of the header syntax repaired DMB video clips. The concepts of the header syntax repair approach proposed for packets of DMB video streams may also be adapted to the syntax of packet formats of other digital video standards.
{"title":"DMB Video Quality Enhancement Using Header Syntax Repair","authors":"Hans-Jürgen Zepernick, M. Iqbal, S. Khatibi, T. Duong, Momin Jamil, R. Esslinger","doi":"10.1109/ITNAC55475.2022.9998368","DOIUrl":"https://doi.org/10.1109/ITNAC55475.2022.9998368","url":null,"abstract":"This paper studies a header syntax repair approach for quality enhancement of digital video broadcasting (DMB) videos. A sensitivity analysis of the impact of transmission errors in different parts of the header of the underlying MPEG-2 transport stream packets on DMB video quality is provided. On this basis, a header syntax repair approach is presented using header masks and bounded minimum distance decoding of the headers of the received DMB packets. Objective and subjective quality assessment show a tremendous improvement in the quality of the header syntax repaired DMB video clips. The concepts of the header syntax repair approach proposed for packets of DMB video streams may also be adapted to the syntax of packet formats of other digital video standards.","PeriodicalId":205731,"journal":{"name":"2022 32nd International Telecommunication Networks and Applications Conference (ITNAC)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127980103","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 : 2022-11-30DOI: 10.1109/ITNAC55475.2022.9998363
John William O'Meara, Mahmoud Said Elsayed, Takfarinas Saber, A. Jurcut
Machine Learning (ML) based Intrusion Detection Systems (IDSs) have rapidly overtaken other solutions for securing networks. Robust and varied datasets are required to train the ML models to perform this role. The separation of the control plane from the forwarding plane within Software Defined Networks (SDNs) results in differences in network traffic patterns and different potential intrusion vectors when compared to traditional networks. Consequently, SDN specific ML models need to be trained on datasets captured from SDNs, and have the potential to recognise SDN specific attacks in addition to the standard cadre of exploits. When assessing the performance of an ML based IDS, reduction of the incidences of attacks that have been misclassified as normal traffic is of key importance. Therefore, measuring the False Negative Rate (FNR) of a trained model is crucial once high percentiles have been reached across the standard metrics used in ML model assessment. This paper establishes high baseline scores in all key metrics and then focuses on the importance of FNR in the assessment of model performance. In addition, identification of unseen attacks is of paramount importance given the rapid evolution of malicious traffic. A hold out testing strategy is employed to assess each model across a range of unseen attacks. An ensemble of models that compensate for each other's relative weaknesses is proposed to mitigate variability, thus maximising detection of new attacks. The performance of the proposed ensemble is evaluated and demonstrates a clear improvement on the performance of the individual component models.
{"title":"SDN Intrusion Detection: An Ensemble Approach to Reducing False Negative Rate for Novel Attacks","authors":"John William O'Meara, Mahmoud Said Elsayed, Takfarinas Saber, A. Jurcut","doi":"10.1109/ITNAC55475.2022.9998363","DOIUrl":"https://doi.org/10.1109/ITNAC55475.2022.9998363","url":null,"abstract":"Machine Learning (ML) based Intrusion Detection Systems (IDSs) have rapidly overtaken other solutions for securing networks. Robust and varied datasets are required to train the ML models to perform this role. The separation of the control plane from the forwarding plane within Software Defined Networks (SDNs) results in differences in network traffic patterns and different potential intrusion vectors when compared to traditional networks. Consequently, SDN specific ML models need to be trained on datasets captured from SDNs, and have the potential to recognise SDN specific attacks in addition to the standard cadre of exploits. When assessing the performance of an ML based IDS, reduction of the incidences of attacks that have been misclassified as normal traffic is of key importance. Therefore, measuring the False Negative Rate (FNR) of a trained model is crucial once high percentiles have been reached across the standard metrics used in ML model assessment. This paper establishes high baseline scores in all key metrics and then focuses on the importance of FNR in the assessment of model performance. In addition, identification of unseen attacks is of paramount importance given the rapid evolution of malicious traffic. A hold out testing strategy is employed to assess each model across a range of unseen attacks. An ensemble of models that compensate for each other's relative weaknesses is proposed to mitigate variability, thus maximising detection of new attacks. The performance of the proposed ensemble is evaluated and demonstrates a clear improvement on the performance of the individual component models.","PeriodicalId":205731,"journal":{"name":"2022 32nd International Telecommunication Networks and Applications Conference (ITNAC)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117347101","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 : 2022-11-30DOI: 10.1109/ITNAC55475.2022.9998367
Usva Rahim, Muhammad Faisal Siddiqui, M. Javed, N. Nafi
Confidentiality and integrity security are the key challenges in future 5G networks. To encounter these challenges, various signature and key agreement protocols are being implemented in 5G systems to secure high-speed mobile-to-mobile communication. Many security ciphers such as SNOW 3G, Advanced Encryption Standard (AES), and ZUC are used for 5G security. Among these protocols, the AES algorithm has been shown to achieve higher hardware efficiency and throughput in the literature. In this paper, we implement the AES algorithm on Field Programmable Gate Array (FPGA) and real-time performance factors of the AES algorithm were exploited to best fit the needs and requirements of 5G. In addition, several modifications such as partial pipelining and deep pipelining (partial pipelining with sub-module pipelining) are implemented on Virtex 6 FPGA ML60S board to improve the throughput of the proposed design.
{"title":"Architectural Implementation of AES based 5G Security Protocol on FPGA","authors":"Usva Rahim, Muhammad Faisal Siddiqui, M. Javed, N. Nafi","doi":"10.1109/ITNAC55475.2022.9998367","DOIUrl":"https://doi.org/10.1109/ITNAC55475.2022.9998367","url":null,"abstract":"Confidentiality and integrity security are the key challenges in future 5G networks. To encounter these challenges, various signature and key agreement protocols are being implemented in 5G systems to secure high-speed mobile-to-mobile communication. Many security ciphers such as SNOW 3G, Advanced Encryption Standard (AES), and ZUC are used for 5G security. Among these protocols, the AES algorithm has been shown to achieve higher hardware efficiency and throughput in the literature. In this paper, we implement the AES algorithm on Field Programmable Gate Array (FPGA) and real-time performance factors of the AES algorithm were exploited to best fit the needs and requirements of 5G. In addition, several modifications such as partial pipelining and deep pipelining (partial pipelining with sub-module pipelining) are implemented on Virtex 6 FPGA ML60S board to improve the throughput of the proposed design.","PeriodicalId":205731,"journal":{"name":"2022 32nd International Telecommunication Networks and Applications Conference (ITNAC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114737432","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 : 2022-11-30DOI: 10.1109/ITNAC55475.2022.9998382
Nouf Alharbi, L. Mackenzie, D. Pezaros
Multi-hop network paths and path redundancy enhance the reliability of communications in the Graph Routing of Industrial Wireless Sensor Networks (IWSNs). However, the centralised management of IWSNs creates unbalanced energy consumption between battery-powered wireless sensor nodes. This creates a hotspot challenge in Graph Routing. The inability to balance energy consumption with single-objective paths in mesh topologies was revealed in our previous work that used the Covariance-Matrix Adaptation Evolution Strategy (CMA-ES) to improve Graph Routing [1]. In this paper, we address this problem by combining the single-objective paths of the Graph Routing algorithm with a pre-set unequal clustering topology. First, this study detects isolated nodes within pre-set unequal clustering and then creates new clusters for these nodes. Second, the objective function of CMA-ES is used to select the best cluster head by considering node centrality between the nodes in the same cluster and the distance between other cluster heads or the gateway. Once the cluster heads are selected, single-objective paths of Graph Routing that are minimum-distance (PODis), maximum residual energy (POEng), and minimum end-to-end transmission time (POE2E) can be effectively evaluated. Simulation experiments reveal that using the single-objective paths of Graph Routing by the topology of pre-set unequal clustering results in more balanced energy consumption.
{"title":"Evaluation of Graph Routing Single Objective Paths Using Pre-set Unequal Clustering","authors":"Nouf Alharbi, L. Mackenzie, D. Pezaros","doi":"10.1109/ITNAC55475.2022.9998382","DOIUrl":"https://doi.org/10.1109/ITNAC55475.2022.9998382","url":null,"abstract":"Multi-hop network paths and path redundancy enhance the reliability of communications in the Graph Routing of Industrial Wireless Sensor Networks (IWSNs). However, the centralised management of IWSNs creates unbalanced energy consumption between battery-powered wireless sensor nodes. This creates a hotspot challenge in Graph Routing. The inability to balance energy consumption with single-objective paths in mesh topologies was revealed in our previous work that used the Covariance-Matrix Adaptation Evolution Strategy (CMA-ES) to improve Graph Routing [1]. In this paper, we address this problem by combining the single-objective paths of the Graph Routing algorithm with a pre-set unequal clustering topology. First, this study detects isolated nodes within pre-set unequal clustering and then creates new clusters for these nodes. Second, the objective function of CMA-ES is used to select the best cluster head by considering node centrality between the nodes in the same cluster and the distance between other cluster heads or the gateway. Once the cluster heads are selected, single-objective paths of Graph Routing that are minimum-distance (PODis), maximum residual energy (POEng), and minimum end-to-end transmission time (POE2E) can be effectively evaluated. Simulation experiments reveal that using the single-objective paths of Graph Routing by the topology of pre-set unequal clustering results in more balanced energy consumption.","PeriodicalId":205731,"journal":{"name":"2022 32nd International Telecommunication Networks and Applications Conference (ITNAC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127316522","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 : 2022-11-30DOI: 10.1109/ITNAC55475.2022.9998327
Xinyu Wang, Ilhan Mutlu, F. Rani, L. Drowatzky, Leonhard Urbas
With the boom of Industry 4.0 for industrial automation, the data exchange between the different industrial devices has tremendously increased through local (edge) and cloud computing. Nowadays, several communication protocols are available to realize data acquisition in the industry. As a result, understanding the practical capabilities of each communication protocol arises as an essential issue in optimizing the data acquisition and storage in industrial plants. This study aims to develop a software-based test environment to evaluate the performance of two widely used communication protocols within the scope of the Industrial Internet of Things (IIoT). These contemplated protocols are Open Platform Communications Unified Architecture (OPC UA) and Message Queuing Telemetry Transport (MQTT). With the help of the developed test environment, several performance metrics, like packet overhead, latency, packet loss ratio, and CPU utilization, are evaluated for different application scenarios where the varying number of clients and subscribers are considered. Derived results indicate the stronger parts of each protocol under varying communication configurations.
{"title":"A Comparative Study to Evaluate the Performance of Communication Protocols for Process Industry","authors":"Xinyu Wang, Ilhan Mutlu, F. Rani, L. Drowatzky, Leonhard Urbas","doi":"10.1109/ITNAC55475.2022.9998327","DOIUrl":"https://doi.org/10.1109/ITNAC55475.2022.9998327","url":null,"abstract":"With the boom of Industry 4.0 for industrial automation, the data exchange between the different industrial devices has tremendously increased through local (edge) and cloud computing. Nowadays, several communication protocols are available to realize data acquisition in the industry. As a result, understanding the practical capabilities of each communication protocol arises as an essential issue in optimizing the data acquisition and storage in industrial plants. This study aims to develop a software-based test environment to evaluate the performance of two widely used communication protocols within the scope of the Industrial Internet of Things (IIoT). These contemplated protocols are Open Platform Communications Unified Architecture (OPC UA) and Message Queuing Telemetry Transport (MQTT). With the help of the developed test environment, several performance metrics, like packet overhead, latency, packet loss ratio, and CPU utilization, are evaluated for different application scenarios where the varying number of clients and subscribers are considered. Derived results indicate the stronger parts of each protocol under varying communication configurations.","PeriodicalId":205731,"journal":{"name":"2022 32nd International Telecommunication Networks and Applications Conference (ITNAC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121599131","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 : 2022-11-30DOI: 10.1109/ITNAC55475.2022.9998411
Salaheddin Moradi, Ayub Bokani, J. Hassan
One of the main problems in agriculture is the lack of timely, accurate data. Farmers require real-time farm management that can reduce production costs while increasing production per unit area. Precision agriculture could be very helpful for farmers in many ways. One of the latest precision agriculture tools is unmanned aerial vehicles (UAVs), UAVs are used for a variety of purposes, including imaging, monitoring biotic and abiotic stresses, foliar spraying, pollination, livestock management, monitoring natural resources, and more. At a low cost, farmers can get the same results as with expensive treatments. The vast amounts of data collected by UAVs equipped with the on-board sensors can help improve agricultural production by providing accurate information about the fields and environment. This paper provides an overview of how agricultural production can be improved through the use of UAVs, including the various on-board sensors in use and their application areas in smart farming. Discussions on challenges and opportunities in UAV-based smart farming that will guide subsequent research are provided.
{"title":"UAV-based Smart Agriculture: a Review of UAV Sensing and Applications","authors":"Salaheddin Moradi, Ayub Bokani, J. Hassan","doi":"10.1109/ITNAC55475.2022.9998411","DOIUrl":"https://doi.org/10.1109/ITNAC55475.2022.9998411","url":null,"abstract":"One of the main problems in agriculture is the lack of timely, accurate data. Farmers require real-time farm management that can reduce production costs while increasing production per unit area. Precision agriculture could be very helpful for farmers in many ways. One of the latest precision agriculture tools is unmanned aerial vehicles (UAVs), UAVs are used for a variety of purposes, including imaging, monitoring biotic and abiotic stresses, foliar spraying, pollination, livestock management, monitoring natural resources, and more. At a low cost, farmers can get the same results as with expensive treatments. The vast amounts of data collected by UAVs equipped with the on-board sensors can help improve agricultural production by providing accurate information about the fields and environment. This paper provides an overview of how agricultural production can be improved through the use of UAVs, including the various on-board sensors in use and their application areas in smart farming. Discussions on challenges and opportunities in UAV-based smart farming that will guide subsequent research are provided.","PeriodicalId":205731,"journal":{"name":"2022 32nd International Telecommunication Networks and Applications Conference (ITNAC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122162915","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 : 2022-11-30DOI: 10.1109/ITNAC55475.2022.9998408
Zunera Umar, M. Meo
Power line communication (PLC) technology has emerged to foster ease of reach for broadband access network in remote or developing areas at lower costs by making use of existing wired power infrastructure for electricity distribution. The increase in data demand, pushed by the popularity of communication services, poses an overwhelming burden on the underlying PLC technology, especially for backhaul links. To confront this issue, edge server deployed at the access network improves data processing and reduces network delays and also helps better provisioning of resources which are crucial for PLC networks. Moreover, data caching at specialized nodes such as edge servers brings forth efficient retrieving, storing and processing of data. In this work, we propose a distributed data caching scenario jointly based on edge server (ES) and edge devices (EDs) that are equipped with caching facility and are communicating via PLC in a remote area. We develop a framework to test the mutual collaboration between ES and EDs for content fetching to minimize the use of cloud resources and relieve the load on possibly congested PLC backhaul links. Results reveal that a collaborative caching would boost effective utilization of low bandwidth PLC links and the shift of most popular contents at user premises is crucial to improve socio-economic growth and digital learning platforms for unconnected part of the world.
{"title":"A collaborative caching over PLC for remote areas","authors":"Zunera Umar, M. Meo","doi":"10.1109/ITNAC55475.2022.9998408","DOIUrl":"https://doi.org/10.1109/ITNAC55475.2022.9998408","url":null,"abstract":"Power line communication (PLC) technology has emerged to foster ease of reach for broadband access network in remote or developing areas at lower costs by making use of existing wired power infrastructure for electricity distribution. The increase in data demand, pushed by the popularity of communication services, poses an overwhelming burden on the underlying PLC technology, especially for backhaul links. To confront this issue, edge server deployed at the access network improves data processing and reduces network delays and also helps better provisioning of resources which are crucial for PLC networks. Moreover, data caching at specialized nodes such as edge servers brings forth efficient retrieving, storing and processing of data. In this work, we propose a distributed data caching scenario jointly based on edge server (ES) and edge devices (EDs) that are equipped with caching facility and are communicating via PLC in a remote area. We develop a framework to test the mutual collaboration between ES and EDs for content fetching to minimize the use of cloud resources and relieve the load on possibly congested PLC backhaul links. Results reveal that a collaborative caching would boost effective utilization of low bandwidth PLC links and the shift of most popular contents at user premises is crucial to improve socio-economic growth and digital learning platforms for unconnected part of the world.","PeriodicalId":205731,"journal":{"name":"2022 32nd International Telecommunication Networks and Applications Conference (ITNAC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121114064","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}
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