2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS)最新文献_第2页

Traffic-Based Adjustable Discontinuous Reception Mechanism with Bounded Delay 基于流量的有界延迟可调不连续接收机制

2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS) Pub Date : 2021-03-09 DOI: 10.23919/WONS51326.2021.9415597

Mohammad Reza Ghavidel Aghdam, Bahram Rahmani, R. Abdolee

引用次数: 1

Non Intrusive Wi-Pi CSI Obfuscation Against Active Localization Attacks 针对主动定位攻击的非侵入性Wi-Pi CSI混淆

2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS) Pub Date : 2021-03-09 DOI: 10.23919/WONS51326.2021.9415586

Marco Cominelli, F. Gringoli, R. Cigno

{"title":"Non Intrusive Wi-Pi CSI Obfuscation Against Active Localization Attacks","authors":"Marco Cominelli, F. Gringoli, R. Cigno","doi":"10.23919/WONS51326.2021.9415586","DOIUrl":"https://doi.org/10.23919/WONS51326.2021.9415586","url":null,"abstract":"Channel State Information (CSI) based localization with 802.11 has been proven feasible in multiple scenarios and is becoming a serious threat to people privacy in work spaces, at home, and maybe even outdoors, even if outdoors experiments proving the feasibility are still not available. Countering unauthorized localization without hampering communications is a nontrivial task, although some very recent works suggest that it is feasible with marginal modification of the 802.11 transmission chain, but this requires modifying 802.11 devices. Furthermore, if the attacker controls two devices and not only a receiver, transmission side signal manipulation cannot help. This work explores the possibility of countering CSI based localization with an active device that, instead of jamming signals to avoid that a malicious receiver exploits CSI information to locate a person, superimpose on frames a copy of the same frame signal whose goal is not destroying reception as in jamming, but only obfuscate the location relevant information carried by the CSI. A prototype implementation and early results looks promising; they show feasibility of location obfuscation with high efficiency and excellent preservation of communication performance, paving the road for further research and improved users privacy.","PeriodicalId":103530,"journal":{"name":"2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123966844","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: 5

Anticipating Mobile Radio Networks Key Performance Indicators with Transfer Learning 用迁移学习预测移动无线网络的关键性能指标

2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS) Pub Date : 2021-03-09 DOI: 10.23919/WONS51326.2021.9415543

Claudia Parera, A. Redondi, M. Cesana, Qi Liao, Ilaria Malanchini

{"title":"Anticipating Mobile Radio Networks Key Performance Indicators with Transfer Learning","authors":"Claudia Parera, A. Redondi, M. Cesana, Qi Liao, Ilaria Malanchini","doi":"10.23919/WONS51326.2021.9415543","DOIUrl":"https://doi.org/10.23919/WONS51326.2021.9415543","url":null,"abstract":"The use of artificial intelligence is foreseen to be pervasive in future mobile radio networks, enabling dynamic and proactive radio resource provisioning and allocation as well as end-to-end optimization of the network architecture. Current approaches in mobile radio networks commonly assume having a complete batch of data on the specific network element when optimizing and adapting the network working configuration. Such a pipeline is at odds with the increasing complexity and extreme flexibility of 5G and next generation systems where reconfiguration decisions might be taken rather frequently, and with only few data available. In this paper, we focus on the problem of predicting channel quality and average number of active user equipment when a limited amount of data is available from the cell to predict and a high number of predictions need to be carried out simultaneously. We propose a transfer learning framework based on one dimensional convolutional neural networks and explore several models with different complexity overhead for the prediction task across 100 cells. The performance of the proposed framework is validated against classical machine learning approaches in terms of accuracy and computation time when varying the amount of data available for training. Achieved results indicate that transfer learning outperforms the “non-transfer” approaches, specifically when the amount of data available from the cell to predict is scarce.","PeriodicalId":103530,"journal":{"name":"2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123172369","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: 4

16th Conference on Wireless On-demand Network Systems and Services 第16届无线按需网络系统与服务会议

2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS) Pub Date : 2021-03-09 DOI: 10.23919/wons51326.2021.9415610

引用次数: 0

Impact of Bushfire Dynamics on the Performance of MANETs 森林火灾动态对manet性能的影响

2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS) Pub Date : 2021-03-09 DOI: 10.23919/WONS51326.2021.9415616

Ameer Shakayb Arsalaan, Hung T. T. Nguyen, Mah-Rukh Fida

引用次数: 0

A Simple Decentralized Timeslot Synchronization Algorithm for Large-Scale Wireless IoT Networks 大规模无线物联网网络中一种简单的分散时隙同步算法

2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS) Pub Date : 2021-03-09 DOI: 10.23919/WONS51326.2021.9415588

Gurusanthosh Pabbisetty, Hiroki Mori

引用次数: 1

Outage Probability Analysis of UAV Assisted Mobile Communications in THz Channel 太赫兹信道中无人机辅助移动通信的中断概率分析

2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS) Pub Date : 2021-03-09 DOI: 10.23919/WONS51326.2021.9415590

Sara Farrag, E. Maher, A. El-Mahdy, F. Dressler

{"title":"Outage Probability Analysis of UAV Assisted Mobile Communications in THz Channel","authors":"Sara Farrag, E. Maher, A. El-Mahdy, F. Dressler","doi":"10.23919/WONS51326.2021.9415590","DOIUrl":"https://doi.org/10.23919/WONS51326.2021.9415590","url":null,"abstract":"THz Communications are attractive candidate for providing ultra high data rate required by 5G and beyond. Unmanned Aerial Vehicle (UAV) is an emerging facility which can be used to assist wireless communications. In this paper, we consider a single-cell cellular network with a UAV that works as a decode-and-forward (DF) relay in full-duplex (FD) mode to assist a base station (BS) and extend its coverage over THz channel. A number of underlay device-to-device (D2D) pairs that communicate with each other and reuse the cellular resources is also considered. The outage probability of the link between the BS and a mobile device (MD) is derived in the presence of the interference of the D2D devices that share the same frequency band. The transmit powers of the MD and the UAV that minimize the outage probability are derived and compared with that of fixed power allocation. Numerical results show that the outage probability obtained using the proposed optimum power allocation scheme is decreased by 20% from the outage probability obtained using fixed power allocation scheme.","PeriodicalId":103530,"journal":{"name":"2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122389958","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: 8

Backbones for Internet of Battlefield Things 战场物联网的主干

2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS) Pub Date : 2021-03-09 DOI: 10.23919/WONS51326.2021.9415560

Dimitrios Papakostas, Theodoros Kasidakis, E. Fragkou, Dimitrios Katsaros

{"title":"Backbones for Internet of Battlefield Things","authors":"Dimitrios Papakostas, Theodoros Kasidakis, E. Fragkou, Dimitrios Katsaros","doi":"10.23919/WONS51326.2021.9415560","DOIUrl":"https://doi.org/10.23919/WONS51326.2021.9415560","url":null,"abstract":"The Internet of Battlefield Things is a relatively new cyberphysical system and even though it shares a lot of concepts from the Internet of Things and wireless ad hoc networking in general, a lot of research is required to address its scale and peculiarities. In this article we examine a fundamental problem pertaining to the routing/dissemination of information, namely the construction of a backbone. We model an IoBT ad hoc network as a multilayer network and employ the concept of domination for multilayer networks which is a complete departure from the volume of earlier works, in order to select sets of nodes that will support the routing of information. Even though there is huge literature on similar topics during the past many years, the problem in military (IoBT) networks is quite different since these wireless networks are multilayer networks and treating them as a single (flat) network or treating each layer in isolation and calculating dominating set produces submoptimal or bad solutions; thus all the past literature which deals with single layer (flat) networks is in principle inappropriate. We design a new, distributed algorithm for calculating connected dominating sets which produces dominating sets of small cardinality. We evaluate the proposed algorithm on synthetic topologies, and compare it against the only two existing competitors. The proposed algorithm establishes itself as the clear winner in all experiments.","PeriodicalId":103530,"journal":{"name":"2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134322885","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: 5

Use of a Weighted Conflict Graph in the Channel Selection Operation for Wi-Fi Networks 加权冲突图在Wi-Fi网络信道选择中的应用

2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS) Pub Date : 2021-03-09 DOI: 10.23919/WONS51326.2021.9415558

Lafdal Abdelwedoud, A. Busson, I. G. Lassous

引用次数: 4

Learning to Fairly Classify the Quality of Wireless Links 学会公平地对无线链路的质量进行分类

2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS) Pub Date : 2021-02-23 DOI: 10.23919/WONS51326.2021.9415540

Gregor Cerar, Halil Yetgin, M. Mohorčič, C. Fortuna

{"title":"Learning to Fairly Classify the Quality of Wireless Links","authors":"Gregor Cerar, Halil Yetgin, M. Mohorčič, C. Fortuna","doi":"10.23919/WONS51326.2021.9415540","DOIUrl":"https://doi.org/10.23919/WONS51326.2021.9415540","url":null,"abstract":"Machine learning (ML) has been used to develop increasingly accurate link quality estimators for wireless networks. However, more in depth questions regarding the most suitable class of models, most suitable metrics and model performance on imbalanced datasets remain open. In this paper, we propose a new tree based link quality classifier that meets high performance and fairly classifies the minority class and, at the same time, incurs low training cost. We compare the tree based model, to a multilayer perceptron non-linear model and two linear models, namely logistic regression and support vector machine, on a selected imbalanced dataset and evaluate their results using five different performance metrics. Our study shows that 1) non-linear models perform slightly better than linear models in general, 2) the proposed non linear tree-based model yields the best performance trade-off considering F1, training time and fairness, 3) single metric aggregated evaluations based only on accuracy can hide poor, unfair performance especially on minority classes, and 4) it is possible to improve the performance on minority classes, by over 40% through feature selection and by over 20% through resampling, therefore leading to fairer classification results.","PeriodicalId":103530,"journal":{"name":"2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121800188","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: 5