2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR)最新文献_第7页

Multi-path Transmission Scheme Based on Segment Control in Low-Earth-Orbit Satellite Network 基于分段控制的近地轨道卫星网络多路径传输方案

2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR) Pub Date : 2021-06-07 DOI: 10.1109/HPSR52026.2021.9481813

Man Ouyang, Xuefei Duan, Jiang Liu, Ran Zhang, Tao Huang, Lu Hua

引用次数: 3

A joint Computer Vision and Reconfigurable Intelligent Meta-surface Approach for Interference Reduction in Beyond 5G Networks 超5G网络中联合计算机视觉和可重构智能元表面的干扰降低方法

2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR) Pub Date : 2021-06-07 DOI: 10.1109/HPSR52026.2021.9481794

V. Loscrí, A. Vegni, Eros Innocenti, R. Giuliano, F. Mazzenga

{"title":"A joint Computer Vision and Reconfigurable Intelligent Meta-surface Approach for Interference Reduction in Beyond 5G Networks","authors":"V. Loscrí, A. Vegni, Eros Innocenti, R. Giuliano, F. Mazzenga","doi":"10.1109/HPSR52026.2021.9481794","DOIUrl":"https://doi.org/10.1109/HPSR52026.2021.9481794","url":null,"abstract":"Reconfigurable Intelligent Meta-surfaces (RIMs) are particular devices able to control and manipulate radio frequency wireless signals. This promising technology allows to improve the reliability of wireless networks, thanks to the capacity of reflecting the desired signals through appropriate phase shifts. The joint use of RIMs and Computer Vision (CV) technology is the main objective of this paper. This synergistic approach is used to correctly identify the specific configuration of a radiation pattern, to be used as input for computing optimal coding sequences of the RIM. Indeed, by the means of a CV algorithm it is possible to infer a connectivity graph related to a real scenario, where people is moving. The information about network nodes such as their distance, the relative position, etc. is used for feeding an intelligent logic, able to compute the optimal configuration for re-directing the signals towards a given receiver target node.Numerical results show the huge potentiality of this combined approach in terms of interference reduction. It has been observed that for high traffic load, it is possible to reduce the average interference in the network of 40%. Furthermore, an analysis including the positioning estimation error of the CV algorithm has been addressed, in order to consider how it affects the interference reduction. Results show that, even though there is an increasing effect of interference, when the error is accounted, the interference reduction impact is still important.","PeriodicalId":158580,"journal":{"name":"2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128351399","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

Application of IoT in Smart Epidemic Management in context of Covid-19 新冠肺炎背景下物联网在智慧疫情管理中的应用

2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR) Pub Date : 2021-06-07 DOI: 10.1109/HPSR52026.2021.9481844

Sujoy Datta, M. Roy, Pushpendu Kar

{"title":"Application of IoT in Smart Epidemic Management in context of Covid-19","authors":"Sujoy Datta, M. Roy, Pushpendu Kar","doi":"10.1109/HPSR52026.2021.9481844","DOIUrl":"https://doi.org/10.1109/HPSR52026.2021.9481844","url":null,"abstract":"The main reason which makes epidemics so dangerous and difficult to contain is their highly infectious nature. In the case of Covid-19 also, data shows that its contagious nature is increasing along with its various mutant strains. One of the primary methods adopted to fight the pandemic has been to break the infection chain and thus reduce the rate of persons getting infected every day, through lockdowns, self-isolation, social distancing, and other measures. But although there are already many existing epidemic models, to predict and track the spread of the disease, it is evident from the difference in the rates of infection and fatalities in different countries, that a uniform set of parameters is not sufficient to accurately predict the curves. In this paper, we have suggested some additional benchmarks that could be considered and at a higher granularity for more accurate predictions at more local levels. We also propose an IoT-based framework for the collection of such types of data through smartphones for more consolidated information to be made available to the authorities, for the effective management of epidemics. The framework also issues warnings to other users through smartphones if the app detects the presence of a potentially infected person within close range.","PeriodicalId":158580,"journal":{"name":"2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123749835","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 technique to monitor threats in SDN data plane computation 一种监控SDN数据平面计算威胁的技术

2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR) Pub Date : 2021-06-07 DOI: 10.1109/HPSR52026.2021.9481824

Loïc Desgeorges, J. Georges, T. Divoux

引用次数: 6

Towards a Crowdsourced Network Measurements Analyzer (CNMA) for the Streaming Service 面向流媒体服务的众包网络测量分析仪(CNMA

2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR) Pub Date : 2021-06-07 DOI: 10.1109/HPSR52026.2021.9481867

Lamine Amour, Abdulhalim Dandoush

{"title":"Towards a Crowdsourced Network Measurements Analyzer (CNMA) for the Streaming Service","authors":"Lamine Amour, Abdulhalim Dandoush","doi":"10.1109/HPSR52026.2021.9481867","DOIUrl":"https://doi.org/10.1109/HPSR52026.2021.9481867","url":null,"abstract":"This exploratory work introduces a new data analyzer system, called CNMA (Crowdsourced Network Measurements Analyzer). CNMA aims at addressing the root cause of the bad performance of typical internet applications such as video on demand streaming and web search considering the 3G/4G radio access network. In particular, we study the related physical radio access parameters to the timeout status of transport connections and application throughput using the \"5Gmark\" crowdsourcing full tests. Thus, we consider dataset of LTE technology collected via measurements from one of the major French mobile operators in Ile-de-France region. To perform the analysis, CNMA is composed of three different modules. The first one is the storage module for storing the Crowdsourced Network Measurements (CNMs) raw data of \"5Gmark\" tool. The second module is the batch unit. The last module consists on the visualization (dashboard) one for plotting and reporting the analysis results. The main expected outcome of CNMA is the impact of the bit rate combined with other parameters of the physical layer such as the Received Signal Strength and the Reference Signal Received Quality (RSRQ) on the application throughput and their correlation to the connection timeout phenomena.","PeriodicalId":158580,"journal":{"name":"2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133363498","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

Slicing-Based Offloading in Vehicular Edge Computing 基于切片的车辆边缘计算卸载

2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR) Pub Date : 2021-06-07 DOI: 10.1109/HPSR52026.2021.9481854

Sara Berri, Khaled Hejja, H. Labiod

{"title":"Slicing-Based Offloading in Vehicular Edge Computing","authors":"Sara Berri, Khaled Hejja, H. Labiod","doi":"10.1109/HPSR52026.2021.9481854","DOIUrl":"https://doi.org/10.1109/HPSR52026.2021.9481854","url":null,"abstract":"Vehicular edge computing (VEC) provides an environment for offloading tasks from vehicles. Indeed, the advantage through VEC is to push power computational and storage capacities at the edge nodes near the vehicles to handle the enormous resources required by some applications. On the other hand, in order to manage efficiently these resources, it would be necessary to partition them into several parts, each dedicated to a specific service. Thus, integrating network slicing in VEC appears to be relevant. Therefore, in this paper we study the task offloading problem from vehicles to wireless 5G new generation nodes (gNBs) and road side units (RSUs) hosting sliced edge computing servers. We formulate the problem as an integer linear programming problem and propose a new algorithm, which follows a centralized control strategy to holistically view and manage the whole network, and the sliced edge nodes. In addition, it follows network function virtualization framework to separate the logical network from the physical resources. The simulation results show that, in terms of acceptance ratio, the proposed algorithm provides very close results to the optimal solution, and when compared to state-of-art algorithm, integrating slicing is better when there is enough resources on the hosting nodes, but it still guarantees the differentiation among services.","PeriodicalId":158580,"journal":{"name":"2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126042869","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

Next Generation Intra-Vehicle Backbone Network Architectures 下一代车载骨干网架构

2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR) Pub Date : 2021-06-07 DOI: 10.1109/HPSR52026.2021.9481803

O. Alparslan, S. Arakawa, M. Murata

引用次数: 21

Privacy-Aware Ant Routing for Wireless Multimedia Sensor Networks in Healthcare 医疗保健中无线多媒体传感器网络的隐私感知蚂蚁路由

2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR) Pub Date : 2021-06-07 DOI: 10.1109/HPSR52026.2021.9481823

Yasmine N. M. Saleh, C. Chibelushi, Ayman A. Abdel-Hamid, A. Soliman

{"title":"Privacy-Aware Ant Routing for Wireless Multimedia Sensor Networks in Healthcare","authors":"Yasmine N. M. Saleh, C. Chibelushi, Ayman A. Abdel-Hamid, A. Soliman","doi":"10.1109/HPSR52026.2021.9481823","DOIUrl":"https://doi.org/10.1109/HPSR52026.2021.9481823","url":null,"abstract":"The problem of maintaining the privacy of sensitive healthcare data is crucial yet the significance of research efforts achieved still need robust development in privacy protection techniques for Wireless Multimedia Sensor Networks (WMSNs). This paper aims to investigate different privacy-preserving methods for WMSNs that can be applied in healthcare, to guarantee a privacy-aware transmission of multimedia data between sensors and base stations. The combination of ant colony optimization-based routing and hierarchical structure of the network have been proposed in the AntSensNet WMSN-based routing protocol to offer QoS and power efficient multipath multimedia packet scheduling. In this paper, the AntSensNet routing protocol was extended by utilizing privacy-preserving mechanisms thus achieving anonymity / pseudonymity, unlinkability, and location privacy. The vulnerability of standard AntSensNet routing protocol to privacy threats have raised the need for the following privacy attacks’ countermeasures: (i) injection of fake traffic, which achieved anonymity, privacy of source and base locations, as well as unlinkability; (ii) encrypting and correlating the size of scalar and multimedia data which is transmitted through a WMSN, along with encrypting and correlating the size of ants, to achieve unlinkability and location privacy; (iii) pseudonyms to achieve unlinkability. The impact of these countermeasures is assessed using quantitative performance analysis conducted through simulation to gauge the overhead of the added privacy countermeasures. It can be concluded that the introduced modifications did enhance the privacy but with a penalty of increased delay and multimedia jitter. The health condition of a patient determines the vitals to be monitored which affects the volumes and sources of fake traffic. Consequently, desired privacy level will dictate incurred overhead due to multimedia transmissions and privacy measures.","PeriodicalId":158580,"journal":{"name":"2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124194585","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

Farm to fork: securing a supply chain with direct impact on food security 从农场到餐桌:确保直接影响食品安全的供应链

2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR) Pub Date : 2021-06-07 DOI: 10.1109/HPSR52026.2021.9481866

P. Trakadas, H. Leligou, P. Karkazis, A. Gonos, T. Zahariadis

引用次数: 0

On the use of machine learning and network tomography for network slices monitoring 关于使用机器学习和网络断层扫描进行网络切片监测

2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR) Pub Date : 2021-06-07 DOI: 10.1109/HPSR52026.2021.9481795

Anouar Rkhami, Y. H. Aoul, G. Rubino, A. Outtagarts

{"title":"On the use of machine learning and network tomography for network slices monitoring","authors":"Anouar Rkhami, Y. H. Aoul, G. Rubino, A. Outtagarts","doi":"10.1109/HPSR52026.2021.9481795","DOIUrl":"https://doi.org/10.1109/HPSR52026.2021.9481795","url":null,"abstract":"Network Slicing (NS) is a key technology that enables network operators to accommodate different types of services with varying needs on a single physical infrastructure. Despite the advantages it brings, NS raises some technical challenges, mainly ensuring the Service Level Agreements (SLA) for each slice. Hence, monitoring the state of these slices will be a priority for ISPs. However, due to the high measurements overhead, it is generally forbidden to directly measure the performance of all of these slices. To overcome this limitation, network tomography is a promising solution, consisting of a set of methods of inferring unmeasured network metrics using end-to-end measurements between monitors. In this work, we focus on inferring the additive metrics of slices such as delays or logarithms of loss rates. We model the inference task as a regression problem that we solve using neural networks. In our approach, we train the model on an artificial dataset. This not only avoids the costly process of collecting a large set of labeled data but has also a nice covering property useful for the procedure’s accuracy. Moreover, to handle a change on the topology or the slices we monitor, we propose a solution based on transfer learning in order to find a trade-off between the quality of the solution and the cost to get it. Simulation results with both, emulated and simulated traffic show the efficiency of our method compared to existing ones in terms of both accuracy and computation time.","PeriodicalId":158580,"journal":{"name":"2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132472230","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