Juliano S. Assine, José Cândido Silveira Santos Filho, Eduardo Valle, M. Levorato
{"title":"Slimmable Encoders for Flexible Split DNNs in Bandwidth and Resource Constrained IoT Systems","authors":"Juliano S. Assine, José Cândido Silveira Santos Filho, Eduardo Valle, M. Levorato","doi":"10.1109/WoWMoM57956.2023.00014","DOIUrl":"https://doi.org/10.1109/WoWMoM57956.2023.00014","url":null,"abstract":"The execution of large deep neural networks (DNN) at mobile edge devices requires considerable consumption of critical resources, such as energy, while imposing demands on hardware capabilities. In approaches based on edge computing the execution of the models is offloaded to a compute-capable device positioned at the edge of 5G infrastructures. The main issue of the latter class of approaches is the need to transport information-rich signals over wireless links with limited and time-varying capacity. The recent split computing paradigm attempts to resolve this impasse by distributing the execution of DNN models across the layers of the systems to reduce the amount of data to be transmitted while imposing minimal computing load on mobile devices. In this context, we propose a novel split computing approach based on slimmable ensemble encoders. The key advantage of our design is the ability to adapt computational load and transmitted data size in real-time with minimal overhead and time. This is in contrast with existing approaches, where the same adaptation requires costly context switching and model loading. Moreover, our model outperforms existing solutions in terms of compression efficacy and execution time, especially in the context of weak mobile devices. We present a comprehensive comparison with the most advanced split computing solutions, as well as an experimental evaluation on GPU-less devices.","PeriodicalId":132845,"journal":{"name":"2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134259261","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}
{"title":"WIP: Multi-connectivity user associations in mmWave networks: a distributed multi-agent deep reinforcement learning method.","authors":"Shang Gao, Zhenzhou Tang","doi":"10.1109/WoWMoM57956.2023.00047","DOIUrl":"https://doi.org/10.1109/WoWMoM57956.2023.00047","url":null,"abstract":"Multi-connectivity enabled user associations (MCUA) has been believed to be a promising method to enhance the connection between user equipments and base stations in ultra-dense millimeter wave (mmWave) networks. In this paper, the optimal MCUA is investigated from the user-side perspective with the objective of maximizing the overall downlink rate while satisfying the QoS requirements of each user. In view the terribly huge computational cost required by centralized MCUA methods, in this paper, we develop a distributed multi-agent deep reinforcement (MADRL) model to search for the optimal MCUA policy. In the proposed MADRL-MCUA, each UE is regarded as an independent agent and determines the its own association policy according to its own observed benefits and the feedback from the mmWave base stations. Experiment results are presented to demonstrate the effectiveness of the proposed method.","PeriodicalId":132845,"journal":{"name":"2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133837469","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}
Marco Pettorali, F. Righetti, C. Vallati, Sajal K. Das, G. Anastasi
{"title":"LASA: Location-Aware Scheduling Algorithm in Industrial IoT Networks with Mobile Nodes","authors":"Marco Pettorali, F. Righetti, C. Vallati, Sajal K. Das, G. Anastasi","doi":"10.1109/WoWMoM57956.2023.00033","DOIUrl":"https://doi.org/10.1109/WoWMoM57956.2023.00033","url":null,"abstract":"The Synchronized Single-hop Multiple Gateway (SHMG) is a framework recently proposed to support mobility into 6TiSCH, the standard network architecture defined for Industrial Internet of Things (IIoT) deployments. SHMG supports industrial applications with stringent requirements by adopting the Shared-Downstream Dedicated-Upstream (SD-DU) scheduling policy, which allocates to Mobile Nodes (MNs) a set of dedicated transmission opportunities for uplink data. Such allocation is performed on all the Border Routers (BRs) of the network without considering the location of MNs. Transmission opportunities are reserved also in BRs far from the current location of the MN, resulting in a waste of resources that limits the maximum number of nodes supported by the network. To overcome this problem, we propose a Location-Aware Scheduling Algorithm (LASA) that takes into account the position of MNs to build and maintain an efficient communication schedule. Specifically, LASA tries to prevent conflicts arising due to node mobility, in a preventive manner, so as to minimize packet dropping. We evaluate LASA via simulation experiments. Our results show that LASA allows to increase the number of MNs by more than four times, with respect to SD-DU, yet guaranteeing a Packet Delivery Ratio higher than 98%.","PeriodicalId":132845,"journal":{"name":"2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116787147","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}
F. Colace, D. Conte, Gianluca Frasca-Caccia, Angelo Lorusso, D. Santaniello, Carmine Valentino
{"title":"An IoT-based framework for the enjoyment and protection of Cultural Heritage Artifacts","authors":"F. Colace, D. Conte, Gianluca Frasca-Caccia, Angelo Lorusso, D. Santaniello, Carmine Valentino","doi":"10.1109/WoWMoM57956.2023.00085","DOIUrl":"https://doi.org/10.1109/WoWMoM57956.2023.00085","url":null,"abstract":"The spread of new technologies has brought advancements in several areas, including Cultural Heritage. Many applications aim to improve the enjoyment or protection of cultural artifacts through new technologies. Using the Internet of Things paradigm, it is possible to leverage a network of sensors that can collect relevant information to generate digital replicas of tangible assets: Digital Twin. This paradigm can be employed in preserving and protecting any asset under study. In addition, the models and information acquired can be processed effectively through context management technologies that can adequately support users in managing and enjoying cultural heritage assets. This paper aims to introduce an IoT-based framework to support the enjoyment and protection of cultural heritage assets. Specifically, the framework, through context-aware management techniques, is able to manage a wealth of information from IoT-based sensors to enable continuous monitoring of cultural heritage assets. The case study involved the development of a prototype for enjoying and monitoring artistic artifacts present within the campus of the University of Salerno. Although at a preliminary stage, the experimental results are promising.","PeriodicalId":132845,"journal":{"name":"2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116873437","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}
{"title":"A Weather Oriented Pre-Tuning Methodology For Long-term Traffic Speed Estimation","authors":"Enes Bilgin, H. İ. Türkmen, M. A. Güvensan","doi":"10.1109/WoWMoM57956.2023.00079","DOIUrl":"https://doi.org/10.1109/WoWMoM57956.2023.00079","url":null,"abstract":"Long-term traffic speed estimation become a challenging problem since forecasting the distant future of city traffic requires considering environmental factors such as weather, big events, road maintenance, and accidents. One of the predictable factors is weather condition which has a substantial impact on traffic speed, especially in metropolitan cities. It is very important to exploit the weather parameters correctly to predict traffic speed up to 1 week ahead. In this study, we propose to pre-tune the speed data based on weather parameters before feeding it into deep learning algorithms. Two different pre-tuners, Effect Rate (ER) and Polynomial Regression (PR), are introduced where the first method calculates the effect of weather conditions linearly, while the second method proposes to transform the traffic characteristic regarding weather conditions with the help of polynomial regression. Test results showed that the proposed pre-tuners could decrease the traffic prediction error rate up to 20% depending upon the weather condition.","PeriodicalId":132845,"journal":{"name":"2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127355244","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}
{"title":"Poster: Privacy-Preserving Joint Communication and Sensing","authors":"Óscar Martins, J. Vilela, Marco Gomes","doi":"10.1109/WoWMoM57956.2023.00053","DOIUrl":"https://doi.org/10.1109/WoWMoM57956.2023.00053","url":null,"abstract":"With the recent advancements in wireless networks, Joint Communication and Sensing (JCAS) has become a growing field that is expected to be included in next-generation standards. However, not only is the current performance of the sensing ability still lacking to be used in real-world scenarios, proper security of such privacy-invasive technology has not been fully explored. To this end, we propose the creation of a more robust framework, capable of cross-domain detection and long-term analysis for improved detection, which will also serve as the basis for a security and privacy analysis of the threat landscape and solutions in this field.","PeriodicalId":132845,"journal":{"name":"2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121992150","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}
Marco Araújo, J. Silva, P. Santos, Himanshu Singh, Deepak Gunjal, João Fonseca, Paulo Duarte, Bruno Mendes, Raul Barbosa, P. Steenkiste, Saeid Sabamoniri, Luis Lam, João Pereira, Harrison Kurunathan
{"title":"Demo: Object detection under 5G-edge mobility","authors":"Marco Araújo, J. Silva, P. Santos, Himanshu Singh, Deepak Gunjal, João Fonseca, Paulo Duarte, Bruno Mendes, Raul Barbosa, P. Steenkiste, Saeid Sabamoniri, Luis Lam, João Pereira, Harrison Kurunathan","doi":"10.1109/WoWMoM57956.2023.00058","DOIUrl":"https://doi.org/10.1109/WoWMoM57956.2023.00058","url":null,"abstract":"In the mid-term future, vehicles will generate large amounts of data for both standalone usage (e.g., to recognize road features and external elements such as lanes, signs, and pedestrians) and cooperative usage (e.g., lane merging). However, processing the captured video and image data results comes with significant computational requirements (e.g., GPUs). Computer vision tasks, such as feature extraction, are unfeasible from a business perspective if performed directly in the User Equipment (UE), as automotive manufacturers are unwilling to increase the end-product’s costs. Thus, the logical solution is to collect and upload this data to be processed elsewhere. Nonetheless, processing the data as close to the vehicle is important due to latency constraints, thus calling for the use of Mobile Edge Computing (MEC). An additional benefit of this scenario, in which 5G connectivity enables data to be offloaded to the edge, is that the data from our car is not processed alone. Data from several sources, e.g., multiple vehicles and fixed cameras, can be offloaded to the edge node and processed together, enhancing its quality as more sources of data enhance the prediction output of machine-learning models. This demo showcases a video recording from a vehicle uploaded to an edge node via 5G software-defined-radio FPGA devices. There, a YOLO application to detect objects processes the video and communicates this information to the vehicle, ensuring QoS metrics even when the UE performs handover to a different cell or geographical area.","PeriodicalId":132845,"journal":{"name":"2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"66 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131443654","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}
{"title":"WIP: Performance Evaluation of Angle-based Handover in LEO-based NTN","authors":"Jin Yu, Tae-Yoon Kim, Jae-Hyun Kim","doi":"10.1109/WoWMoM57956.2023.00045","DOIUrl":"https://doi.org/10.1109/WoWMoM57956.2023.00045","url":null,"abstract":"Low Earth orbit (LEO) satellite communication is one of the key technologies in 6G wireless networks. However, LEO-based non-terrestrial networks (NTN) face several challenges due to their fast mobility and high altitude. In particular, it is challenging for user equipment (UE) to determine the cell boundary for handover using the received signal strength (RSS)based measurement report (MR) event because the RSS from the cell center and cell edge is quite similar. In this paper, we propose a novel LEO handover method using an angle-based MR event. The elevation angle is calculated based on the distance between the satellite and the cell center, and between the satellite and the UE. Simulation results show that the performance of the angle-based MR event is better than that of the RSS-based MR event.","PeriodicalId":132845,"journal":{"name":"2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130333446","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}
Pedro Valente, Duarte M. G. Raposo, P. Rito, S. Sargento
{"title":"Disaggregated Mobile Core for Edge City Services","authors":"Pedro Valente, Duarte M. G. Raposo, P. Rito, S. Sargento","doi":"10.1109/WoWMoM57956.2023.00030","DOIUrl":"https://doi.org/10.1109/WoWMoM57956.2023.00030","url":null,"abstract":"Mobile communication networks evolved greatly throughout the years. In the 5G rollout, network densification is needed, due to the new vertical-based data-hungry applications and increased devices, leading to additional costs in the cellular deployment. To solve this issue and optimize the deployment of 5G, one unified network could be devised and shared by multiple operators to deploy their own networks. Within a smart-city network, ways to take full advantage of a neutral hosting architecture begin to appear, which serve various services, like Vehicle-to-Everything (V2X) and Internet-of-Things (IoT). At the same time, Multi-Access Edge Computing (MEC) arises, by maximizing the exploitation of the city infrastructure to reduce latency and remove the computational effort from cloud servers to the edge. This paper focuses on researching a neutral architecture for 5G networks with MEC, to be used in smart cities. The disaggregation of the Core Network (CN) has been provided, and the User Plane Function (UPF) selection has been researched. This is a focal point for network hosting. The proposed approach was tested in a city infrastructure in Aveiro, and test scenarios comprise: (1) the comparison between cloud and edge; (2) mobility scenarios with a handover to assess user plane relocation; (3) different user plane selection; (4) different flow level priority assessments to higher priority services in a full bandwidth occupation scenario; and (5) content distribution. The obtained results show that the deployment of the user plane in the edge brings significant improvements, both in common user traffic and service-oriented traffic; moreover, this outlines the capabilities of this core solution, as well as its limitations, providing a foundation for future works.","PeriodicalId":132845,"journal":{"name":"2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129923768","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}
Clément Courageux-Sudan, Anne-Cécile Orgerie, M. Quinson
{"title":"A Wi-Fi Energy Model for Scalable Simulation","authors":"Clément Courageux-Sudan, Anne-Cécile Orgerie, M. Quinson","doi":"10.1109/WoWMoM57956.2023.00038","DOIUrl":"https://doi.org/10.1109/WoWMoM57956.2023.00038","url":null,"abstract":"Wi-Fi devices are ubiquitous, thus they have been extensively studied to understand, for example, the impact of different channel conditions and network properties over network performance. However, improving network performance without considering energy consumption can lead to critical issues: battery depletion, higher costs, and increased latency. Existing works provide algorithms and techniques for more efficient use of energy for Wi-Fi communication, especially in the case of IoT networks, limited by battery capacity. But the ever-growing number of Wi-Fi devices along with the increase in traffic and heterogeneity of current networks make measuring the energy footprint of Wi-Fi communication particularly complex, especially at a large scale. Existing simulation models to study the energy consumption of Wi-Fi devices either suffer from scalability issues due to their fine granularity, or lack realism hindering their usage in practice. In this paper, we propose a power model tackling these scalability and accuracy issues through the use of a flow-based simulation model. By comparing the accuracy and performance of our model to state-of-the-art solution, we show that our approach achieves accurate energy predictions on large-scale and heterogeneous network infrastructures. Our flow-level model allows us to simulate the energy consumption of 800 nodes in a few seconds compared to more fine-grained simulators such as ns-3 that require more than 8 hours under the same scenario, with similar accuracy.","PeriodicalId":132845,"journal":{"name":"2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132609751","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}