2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)最新文献_第7页

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2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2023-06-01 DOI: 10.1109/wowmom57956.2023.00003

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EFFECT-DNN: Energy-efficient Edge Framework for Real-time DNN Inference EFFECT-DNN:实时DNN推理的节能边缘框架

2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2023-06-01 DOI: 10.1109/WoWMoM57956.2023.00015

Xiaojie Zhang, Motahare Mounesan, S. Debroy

{"title":"EFFECT-DNN: Energy-efficient Edge Framework for Real-time DNN Inference","authors":"Xiaojie Zhang, Motahare Mounesan, S. Debroy","doi":"10.1109/WoWMoM57956.2023.00015","DOIUrl":"https://doi.org/10.1109/WoWMoM57956.2023.00015","url":null,"abstract":"Real-time visual computing applications running Deep Neural Networks (DNN) are becoming popular for mission-critical use cases such as, disaster response, tactical scenarios, and medical triage that require establishing ad-hoc edge environments. However, strict latency deadlines of such applications require real-time processing of pre-trained DNN layers (i.e., DNN inference) involving image/video data which is highly challenging to achieve under such resource- constrained edge environments. In this paper, we address the trade-off between end-to-end latency of DNN inference and IoT devices’ energy consumption by proposing ‘EFFECT-DNN’, an energy efficient edge computing framework. The EFFECT-DNN framework aims to strike such balance by employing a collaborative DNN partitioning and task offloading strategy. Such strategy also involves resource allocation from IoT devices and edge servers to satisfy DNN inference deadline requirement even when the network bandwidth is on the lower end, which is often the case for critical use cases. The underlying optimization is formulated as a dynamic Mixed-Integer Nonlinear Programming (MINLP) problem is decoupled and solved by convex optimization and a game-like heuristic algorithm. We evaluate the performance of EFFECT-DNN framework on a hardware testbed and using extensive simulations with real-world DNN s. The results demonstrate that the proposed framework can ensure DNN inference deadline satisfaction with significant (~ 20-30%) device energy savings.","PeriodicalId":132845,"journal":{"name":"2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"36 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":"130638503","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

POSTER: A low-complexity model for IRS-aided beyond 5G wireless networks 海报:用于irs辅助的超5G无线网络的低复杂性模型

2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2023-06-01 DOI: 10.1109/WoWMoM57956.2023.00052

Gyana Ranjan Mati, Susmita Das, Annapurna Pradhan

引用次数: 0

Demo:[SeBaSi] system-level Integrated Access and Backhaul simulator for self-backhauling 演示:[SeBaSi]用于自回程的系统级集成访问和回程模拟器

2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2023-06-01 DOI: 10.1109/WoWMoM57956.2023.00061

Amir Ashtari Gargari, Matteo Pagin, Andrea Ortiz, Nairy Moghadas-Gholian, Michele Polese, Michele Zorzi

{"title":"Demo:[SeBaSi] system-level Integrated Access and Backhaul simulator for self-backhauling","authors":"Amir Ashtari Gargari, Matteo Pagin, Andrea Ortiz, Nairy Moghadas-Gholian, Michele Polese, Michele Zorzi","doi":"10.1109/WoWMoM57956.2023.00061","DOIUrl":"https://doi.org/10.1109/WoWMoM57956.2023.00061","url":null,"abstract":"millimeter wave (mmWave) and sub-terahertz (THz) communications have the potential of increasing mobile network throughput drastically. However, the challenging propagation conditions experienced at mmWave and beyond frequencies can potentially limit the range of the wireless link down to a few meters, compared to up to kilometers for sub-6GHz links. Thus, increasing the density of base station deployments is required to achieve sufficient coverage in the Radio Access Network (RAN). To such end, 3rd Generation Partnership Project (3GPP) introduced wireless backhauled base stations with Integrated Access and Backhaul (IAB), a key technology to achieve dense networks while preventing the need for costly fiber deployments. In this paper, we introduce SeBaSi, a system-level simulator for IAB networks, and demonstrate its functionality by simulating IAB deployments in Manhattan, New York City and Padova. Finally, we show how SeBaSi can represent a useful tool for the performance evaluation of self-backhauled cellular networks, thanks to its high level of network abstraction, coupled with its open and customizable design, which allows users to extend it to support novel technologies such as Reconfigurable Intelligent Surfaces (RISs).","PeriodicalId":132845,"journal":{"name":"2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"27 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":"114808165","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

mmSight: Towards Robust Millimeter-Wave Imaging on Handheld Devices mmSight:面向手持设备的稳健毫米波成像

2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2023-06-01 DOI: 10.1109/WoWMoM57956.2023.00026

Jacqueline M. Schellberg, Hem Regmi, Sanjib Sur

引用次数: 0

HeadSense: Visual Search Monitoring and Distracted Behavior Detection for Bicycle Riders HeadSense:自行车骑行者的视觉搜索监测和分心行为检测

2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2023-06-01 DOI: 10.1109/WoWMoM57956.2023.00043

Zengyi Han, Xuefu Dong, Yuuki Nishiyama, K. Sezaki

{"title":"HeadSense: Visual Search Monitoring and Distracted Behavior Detection for Bicycle Riders","authors":"Zengyi Han, Xuefu Dong, Yuuki Nishiyama, K. Sezaki","doi":"10.1109/WoWMoM57956.2023.00043","DOIUrl":"https://doi.org/10.1109/WoWMoM57956.2023.00043","url":null,"abstract":"Distracted riding behavior is one of the main causes of bicycle-related traffic accidents, resulting in a large number of casualties and economic losses every year. There is an urgent need to address this problem by accurately detecting distracted riding behaviors. Inspired by the observation that distracted riding behaviors induce unique head motion features that respond to the rider’s attention, we present the HeadSense, a helmet-based system that not only monitors the visual search episode of the rider but also detects distracted riding behaviors. Specifically, HeadSense leverages the inertial motion unit (IMU) to recognize distracted behaviors such as using smartphones, attracting to the roadside element, and abreast riding. We designed, implemented, and evaluated HeadSense through extensive experiments. We conducted experiments with 19 participants inside the university’s campus. The experimental results show that HeadSense can achieve an overall accuracy of 86.14% while monitoring visual search episodes. Moreover, HeadSense can detect the occurrence of distracted riding behaviors with an average precision of up to 85.04%.","PeriodicalId":132845,"journal":{"name":"2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"61 12 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":"123682386","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

Demo: Enhancing Network Performance based on 5G Network Function and Slice Load Analysis 演示:基于5G网络功能和切片负载分析的网络性能提升

2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2023-06-01 DOI: 10.1109/WoWMoM57956.2023.00057

Rui Ferreira, João Fonseca, João Silva, Mayuri Tendulkar, Paulo Duarte, Marco Araújo, Raul Barbosa, Bruno Mendes, A. A. Góes

引用次数: 0

Millimeter-Wave Testbed and Modeling in NeXt Generation URLLC Communications 下一代URLLC通信中的毫米波试验台与建模

2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2023-06-01 DOI: 10.1109/WoWMoM57956.2023.00083

Eurico Dias, Duarte M. G. Raposo, H. Esfahanizadeh, Alejandro Cohen, Vipindev Adat Vasudevan, Tânia Ferreira, Miguel Luís, S. Sargento, Muriel Médard

引用次数: 0

POSTER: Wi-Fi Indoor Positioning Based on Sparse Autoencoder and Deep Belief Network 海报:基于稀疏自编码器和深度信念网络的Wi-Fi室内定位

2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2023-06-01 DOI: 10.1109/WoWMoM57956.2023.00051

Xuerong Cui, Jinyang Lou, Juan Li, Binbin Jiang, Shibao Li, Jianhang Liu

引用次数: 0

LNMesh: Who Said You need Internet to send Bitcoin? Offline Lightning Network Payments using Community Wireless Mesh Networks LNMesh:谁说你需要互联网来发送比特币?使用社区无线网状网络的离线闪电网络支付

2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2023-04-27 DOI: 10.1109/WoWMoM57956.2023.00041

Ahmet Kurt, Abdulhadi Sahin, Ricardo Harrilal-Parchment, K. Akkaya

{"title":"LNMesh: Who Said You need Internet to send Bitcoin? Offline Lightning Network Payments using Community Wireless Mesh Networks","authors":"Ahmet Kurt, Abdulhadi Sahin, Ricardo Harrilal-Parchment, K. Akkaya","doi":"10.1109/WoWMoM57956.2023.00041","DOIUrl":"https://doi.org/10.1109/WoWMoM57956.2023.00041","url":null,"abstract":"Bitcoin is undoubtedly a great alternative to today’s existing digital payment systems. Even though Bitcoin’s scalability has been debated for a long time, we see that it is no longer a concern thanks to its layer-2 solution Lightning Network (LN). LN has been growing non-stop since its creation and enabled fast, cheap, anonymous, censorship-resistant Bitcoin transactions. However, as known, LN nodes need an active Internet connection to operate securely which may not be always possible. For example, in the aftermath of natural disasters or power outages, users may not have Internet access for a while. Thus, in this paper, we propose LNMesh which enables offline LN payments on top of wireless mesh networks. Users of a neighborhood or a community can establish a wireless mesh network to use it as an infrastructure to enable offline LN payments when they do not have any Internet connection. As such, we first present proof-of-concept implementations where we successfully perform offline LN payments utilizing Bluetooth Low Energy and WiFi. For larger networks with more users where users can also move around, channel assignments in the network need to be made strategically and thus, we propose 1) minimum connected dominating set; and 2) uniform spanning tree based channel assignment approaches. Finally, to test these approaches, we implemented a simulator in Python along with the support of BonnMotion mobility tool. We then extensively tested the performance metrics of large-scale realistic offline LN payments on mobile wireless mesh networks. Our simulation results show that, success rates up to %95 are achievable with the proposed channel assignment approaches when channels have enough liquidity.","PeriodicalId":132845,"journal":{"name":"2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122256453","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