2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)最新文献_第2页

Multi-Agent Data Collection in Non-Stationary Environments 非平稳环境下的多智能体数据采集

2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2022-06-01 DOI: 10.1109/WoWMoM54355.2022.00023

N. Nguyen, D. Nguyen, Junae Kim, G. Rizzo, H. Nguyen

{"title":"Multi-Agent Data Collection in Non-Stationary Environments","authors":"N. Nguyen, D. Nguyen, Junae Kim, G. Rizzo, H. Nguyen","doi":"10.1109/WoWMoM54355.2022.00023","DOIUrl":"https://doi.org/10.1109/WoWMoM54355.2022.00023","url":null,"abstract":"Coordinated multi-robot systems are an effective way to harvest data from sensor networks and to implement active perception strategies. However, achieving efficient coordination in a way which guarantees a target QoS while adapting dynamically to changes (in the environment, due to sensors’ mobility, and/or in the value of harvested data) is to date a key open issue. In this paper, we propose a novel decentralized Monte Carlo Tree Search algorithm (MCTS) which allows agents to optimize their own actions while achieving some form of coordination, in a changing environment. Its key underlying idea is to balance in an adaptive manner the exploration-exploitation trade-off to deal effectively with abrupt changes caused by the environment and random changes caused by other agents’ actions. Critically, outdated and irrelevant samples - an inherent and prevalent feature in all multi-agent MCTS-based algorithms - are filtered out by means of a sliding window mechanism. We show both theoretically and through simulations that our algorithm provides a log-factor (in terms of time steps) smaller regret than state-of-the-art decentralized multi-agent planning methods. We instantiate our approach on the problem of underwater data collection, showing on a set of different models for changes that our approach greatly outperforms the best available algorithms for that setting, both in terms of convergence speed and of global utility.","PeriodicalId":275324,"journal":{"name":"2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124919066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Vineyard Digital Twin: construction and characterization via UAV images – DIWINE Proof of Concept 葡萄园数字孪生:通过无人机图像构建和表征- DIWINE概念验证

2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2022-06-01 DOI: 10.1109/WoWMoM54355.2022.00094

Francesco Edemetti, Angela Maiale, Camillo Carlini, Olga D’Auria, J. Llorca, A. Tulino

{"title":"Vineyard Digital Twin: construction and characterization via UAV images – DIWINE Proof of Concept","authors":"Francesco Edemetti, Angela Maiale, Camillo Carlini, Olga D’Auria, J. Llorca, A. Tulino","doi":"10.1109/WoWMoM54355.2022.00094","DOIUrl":"https://doi.org/10.1109/WoWMoM54355.2022.00094","url":null,"abstract":"The DIWINE project aims to play a salient role in the Smart and Sustainable Agriculture industry by enabling creation of a Digital Twin platform for a vineyard. It is conceived as a disruptive solution based on the use of: Unmanned Aerial Vehicles (UAVs), 5G, edge/cloud computing, Machine Learning (ML) and Artificial Intelligence (AI). The platform leverages key 5G technologies such as 5G New Radio (NR) and Multi Access Edge computing (MEC) to remotely control the UAVs and to transfer captured high-resolution images to the cloud. Moreover, the computational power of MEC and central cloud computing enables the use of ML and AI algorithms to process captured data and transform it into a highly accurate Digital Twin. The winemaker has an immediate and flexible access to the Digital Twin platform and is also able to integrate existing technologies, such as IoT sensors and weather forecasts. DIWINE allows: an efficient management of the vineyard, accurately differentiating the final product, simulating different possible scenarios, and optimizing the farm’s consumption, supporting the winemaker to minimize missed harvests risk, and optimizing profitability.","PeriodicalId":275324,"journal":{"name":"2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122439159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Migration Path Toward Green Edge Gaming 向绿色边缘游戏的迁移路径

2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2022-06-01 DOI: 10.1109/WoWMoM54355.2022.00033

Francesco Spinelli, V. Mancuso

{"title":"A Migration Path Toward Green Edge Gaming","authors":"Francesco Spinelli, V. Mancuso","doi":"10.1109/WoWMoM54355.2022.00033","DOIUrl":"https://doi.org/10.1109/WoWMoM54355.2022.00033","url":null,"abstract":"5G and beyond 5G networks will allow novel use cases by placing constrained computing nodes at the edge, following the Multi-access Edge Computing (MEC) paradigm. Edge nodes could be partially powered by intermittent renewable energies, leading to the possibility of having time-varying computing capacities. In this scenario, we tackle the problem of how to support gaming at the edge of the cellular network. Moving cloud-based games to the edge could be a premium service for end-users, thanks to reduced latency and higher bandwidth. The goal of our paper is to design a scheme that maximizes the utility of a service/infrastructure provider in a MEC scenario, with time-varying MEC nodes capacities powered by intermittent renewable energies. We formulate a multi-dimensional integer linear programming problem, proving that it is NP Hard in the strong sense. We prove that our problem is sub-modular and propose an efficient heuristic, GREENING, which considers the allocation of gaming sessionse and their migration. Through simulations, we show that our heuristic achieves performance close to what achievable by a solver, except with extremely lower complexity, and performs near-optimally, 20% better than state-of-the-art algorithms in terms of system utility. We also show that our scheme is compliant with currently adopted standards by ETSI and meant to support novel networking principles like network slicing.","PeriodicalId":275324,"journal":{"name":"2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131138132","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: 2

Adapting the Resource Reservation Interval for Improved Congestion Control in NR-V2X 利用资源预留间隔改进NR-V2X拥塞控制

2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2022-06-01 DOI: 10.1109/WoWMoM54355.2022.00045

Brian McCarthy, Aisling O'Driscoll

引用次数: 2

Edge-Cloud Collaboration for Human Activity Recognition on Multiple Subjects 多主题人类活动识别的边缘云协作

2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2022-06-01 DOI: 10.1109/WoWMoM54355.2022.00030

Wenjing Xiao, Linfu Xie, Jin Ning, Ziyu Fu, Mingde Zhao, Zhenjie Lin, Qiang Lin

{"title":"Edge-Cloud Collaboration for Human Activity Recognition on Multiple Subjects","authors":"Wenjing Xiao, Linfu Xie, Jin Ning, Ziyu Fu, Mingde Zhao, Zhenjie Lin, Qiang Lin","doi":"10.1109/WoWMoM54355.2022.00030","DOIUrl":"https://doi.org/10.1109/WoWMoM54355.2022.00030","url":null,"abstract":"Multi-subject video analysis is one of the most important problems in the field of visual perception for human activity recognition on multiple subjects nowadays. However, multi-subject video analysis is difficult to achieve real-time performance at the edge due to the limited resources of edge devices and the high complexity of the Convolutional Neural Networks (CNN) model used in this task. The common processing method is to upload the video data to the cloud. However, due to the influence of network bandwidth, the transmission time is not fixed, and the latency cannot be guaranteed. Thus, statically deployed model configurations cannot meet some dynamically changing scenarios. To address these challenges, in this paper, we propose an edge-cloud collaboration processing system for multi-subject video stream analysis, which can dynamically configure and optimize the related configurations according to specific scenarios. Specifically, we provide an adaptive configuration optimization solution based on context awareness for edge devices with limited resources such that multi-subject video stream analysis can be processed completely at the edge. For other complex scenarios, we propose an edge-cloud collaboration method to achieve task segmentation and collaboration to meet the performance requirements of the complex scenarios. Experimental results show that our method can achieve an average accuracy of 91.3% and the latency of less than 78ms with arbitrary runtime state.","PeriodicalId":275324,"journal":{"name":"2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133789308","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

Modeling Service Mixes in Access Links: Product Form and Oscillations 访问链接中的服务混合建模:产品形式和振荡

2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2022-06-01 DOI: 10.1109/WoWMoM54355.2022.00065

A. Marin, M. Meo, M. Sereno, M. Marsan

引用次数: 1

Reviewers: Main Conference 审稿人:主要会议

2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2022-06-01 DOI: 10.1109/wowmom54355.2022.00008

引用次数: 0

RF-SITL: A Software-in-the-loop Channel Emulator for UAV Swarm Networks 一种用于无人机群网络的软件在环信道仿真器

2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2022-06-01 DOI: 10.1109/WoWMoM54355.2022.00076

Nicholas Mastronarde, Daniel Russell, Zhangyu Guan, George Sklivanitis, D. Pados, E. Bentley, M. Medley

{"title":"RF-SITL: A Software-in-the-loop Channel Emulator for UAV Swarm Networks","authors":"Nicholas Mastronarde, Daniel Russell, Zhangyu Guan, George Sklivanitis, D. Pados, E. Bentley, M. Medley","doi":"10.1109/WoWMoM54355.2022.00076","DOIUrl":"https://doi.org/10.1109/WoWMoM54355.2022.00076","url":null,"abstract":"We introduce RF-SITL, a radio frequency (RF) software-in-the-loop (SITL) channel emulator developed with GNU Radio and the University at Buffalo’s Airborne Networking and Communications (UB-ANC) emulator to enable integrated simulation of systems comprising multiple unmanned aerial vehicles (UAVs) interacting over a wireless communication channel. RF-SITL could be paired with any multi-robot simulator to enable I/Q sample-level fidelity simulation of communication interactions between the robots by accurately simulating channel effects, including interference, noise, distance-dependent path loss, and packet losses. RF-SITL works as follows: 1) it instantiates a virtual software-defined transceiver in GNU Radio for each UAV simulated in the UB-ANC Emulator; 2) it builds an interference channel model in which each network node receives the superposition of signals transmitted from other nodes; and 3) it synchronizes the location of each simulated UAV in the UB-ANC Emulator with the virtualized RF transceivers in RF-SITL, such that the communication channel between nodes can accurately model distance-dependent channel effects, such as path loss. With these capabilities, we can use both off-the-shelf and custom-built signal processing flowgraphs that simulate Gaussian Minimum Shift Keying (GMSK), 802.11-like Orthogonal Frequency Division Multiplexing (OFDM), and direct sequence spread-spectrum (DSSS) links in GNU Radio to simulate swarm UAV networks prior to their deployment in software-defined radios in a swarm UAV network.","PeriodicalId":275324,"journal":{"name":"2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123150691","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: 2

Privacy monitoring of LoRaWAN devices through traffic stream analysis 通过流量流分析实现LoRaWAN设备的隐私监控

2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2022-06-01 DOI: 10.1109/WoWMoM54355.2022.00062

Francesco Terenzi, Pietro Spadaccino, F. Cuomo

{"title":"Privacy monitoring of LoRaWAN devices through traffic stream analysis","authors":"Francesco Terenzi, Pietro Spadaccino, F. Cuomo","doi":"10.1109/WoWMoM54355.2022.00062","DOIUrl":"https://doi.org/10.1109/WoWMoM54355.2022.00062","url":null,"abstract":"LoRaWAN is a wireless technology developed to transmit over long distances using low power. It runs over the proprietary LoRa radio modulation and provides fundamental IoT requirements such as bi-directional communication, end-to-end security, key management, mobility, and localization services. Despite LoRaWAN guarantees confidentiality and integrity of application payload, the wireless nature of the medium causes that an eavesdropper, listening to the network communications, can collect non-encrypted information stored in the packets. In particular, it can obtain two sensible metadata elements, called DevAddress e DevEUI. Since the association between these elements can involve privacy issues, LoRaWAN forces endpoints to expose their DevEUI only during the association procedure to avoid the association with the corresponding DevAddress. In the first part of this work, we prove how an adversary can link them nevertheless. Then we explain the consequences for the privacy of devices and users that joined the network and propose PIVOT (Privacy-Monitoring), an analyzer system for LoRaWAN that detects in real-time vulnerable endpoints. Furthermore, we explain how the metrics used in PIVOT can support the operator in applying adequate countermeasures. Finally, we test our scheme on a simulated LoRaWAN application and examine the results obtained.","PeriodicalId":275324,"journal":{"name":"2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124297469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fast Approximation Algorithms for Multiple Coverage with Unit Disks 单位磁盘多重覆盖的快速逼近算法

2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2022-06-01 DOI: 10.1109/WoWMoM54355.2022.00037

Xuening Gao, Longkun Guo, Kewen Liao

引用次数: 1