2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)最新文献_第2页

Multi-Platform Hardware In The Loop (HIL) Simulation for Decentralized Swarm Communication Using ROS and GAZEBO 基于ROS和GAZEBO的分布式群通信多平台硬件在环仿真

2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2021-06-01 DOI: 10.1109/WoWMoM51794.2021.00057

Saran Khaliq, Shahzeb Ahsan, M. D. Nisar

引用次数: 3

A Game Theory-based Transportation System using Fog Computing for Passenger Assistance 基于博弈论的雾计算客运辅助交通系统

2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2021-06-01 DOI: 10.1109/WoWMoM51794.2021.00013

Rahul Mishra, Preti Kumari, Hari Prabhat Gupta, Diksha Shrivastava, Tanima Dutta, D. Suh, M. J. Piran

{"title":"A Game Theory-based Transportation System using Fog Computing for Passenger Assistance","authors":"Rahul Mishra, Preti Kumari, Hari Prabhat Gupta, Diksha Shrivastava, Tanima Dutta, D. Suh, M. J. Piran","doi":"10.1109/WoWMoM51794.2021.00013","DOIUrl":"https://doi.org/10.1109/WoWMoM51794.2021.00013","url":null,"abstract":"With the expeditious evolution in technology, recent years have witnessed significant growth in passenger assistance applications in the transportation system. Such applications have varying demands for resources and quality of services. This paper presents a Fog computing based transportation system. The system uses multiple Fog devices to provide assistance to the passengers. The passengers and vehicles work as end-users and the Edge devices in the system, respectively. A passenger generates a task and using the Edge device forwards it to the Fog devices for further processing. Selected Fog devices parallel process the fraction of the task, so that the complete task processes within the given time constraint. We use the gamma function based reputation model of Fog devices, which provides the confidence to complete a given task successfully. We present a Knapsack based task offloading algorithm, which helps to fully utilize the resources of the Fog devices. We also present a competitive game model and near Nash Equilibrium solution for estimating the optimal value of the fraction of the task process at Fog devices. Finally, we develop a prototype and present results to investigate the performance of the propose system.","PeriodicalId":131571,"journal":{"name":"2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131751966","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

RA-RL: Reputation-Aware Edge Device Selection Method based on Reinforcement Learning 基于强化学习的声誉感知边缘设备选择方法

2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2021-06-01 DOI: 10.1109/WoWMoM51794.2021.00063

Yanlei Dong, Peng Gan, G. Aujla, Peiying Zhang

{"title":"RA-RL: Reputation-Aware Edge Device Selection Method based on Reinforcement Learning","authors":"Yanlei Dong, Peng Gan, G. Aujla, Peiying Zhang","doi":"10.1109/WoWMoM51794.2021.00063","DOIUrl":"https://doi.org/10.1109/WoWMoM51794.2021.00063","url":null,"abstract":"The development of smart technology and smart cities has solved the problem of data islands, but it has also brought about information security problems. Federated learning provides solutions to information security problems, which is a new machine learning method that effectively protects the local privacy of edge devices by distributing models to edge devices for training. However, due to malicious attacks from malicious edge devices, the accuracy and efficiency of federated learning are greatly compromised. Therefore, to solve the above problems, this paper proposes a reputation-aware method based on reinforcement learning (RA-RL) to select edge devices to ensure that the federated learning process is not attacked. Specifically, we introduce a reputation measurement scheme to evaluate the reputation of edge devices and use it as one of the features of edge devices. Then extract the feature matrix of candidate edge devices as the RL training environment to calculate the probability of each edge device is selected, and finally use the greedy algorithm to determine the devices that will eventually participate in the federated learning. Simulation experiments show that the RA-RL algorithm can effectively solve the training data security problem in federated learning, and is superior to other algorithms in terms of load balance, efficiency and accuracy.","PeriodicalId":131571,"journal":{"name":"2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134520519","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

Message from the ISMS Workshop Chairs ISMS研讨会主席的信息

2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2021-06-01 DOI: 10.1109/wowmom51794.2021.00007

引用次数: 0

Title Page I 第一页

2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2021-06-01 DOI: 10.1109/wowmom51794.2021.00001

引用次数: 0

Modelling Broadband Wireless Technology Coexistence in the Unlicensed Bands 无许可频段宽带无线技术共存建模

2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2021-06-01 DOI: 10.1109/WoWMoM51794.2021.00026

Andra M. Voicu, L. Simić, M. Petrova

{"title":"Modelling Broadband Wireless Technology Coexistence in the Unlicensed Bands","authors":"Andra M. Voicu, L. Simić, M. Petrova","doi":"10.1109/WoWMoM51794.2021.00026","DOIUrl":"https://doi.org/10.1109/WoWMoM51794.2021.00026","url":null,"abstract":"Increasingly more unlicensed bands accommodate multiple broadband technologies, e.g. Wi-Fi and LTE in the 5 GHz band and Wi-Fi 6E and 5G NR-U in the new 6 GHz unlicensed band. In these bands, the technologies coexist primarily via distributed MAC spectrum sharing mechanisms, so it is crucial to evaluate their performance using the right tools that reliably and accurately model the coexisting schemes. CSMA and duty cycle are representative schemes in this context, but the few modelling tools that capture their coexistence performance are yet to be properly evaluated in terms of accuracy and computational efficiency. This paper is the first to compare three such modelling tools – stochastic geometry modelling (SGM), ns-3, and our hybrid model – which comprise different time granularities and abstraction levels for the MAC mechanisms. We compare both the accuracy of their estimated SINR and throughput versus ns-3 and their computational efficiency, for CSMA and duty cycle coexistence. Furthermore, we make recommendations pertinent to future broadband coexistence cases. Our results show that ns-3 captures important effects of the CSMA sensing time on the SINR, but its computation time may be prohibitive for modelling coexisting dense networks. This tool is thus useful primarily for studying dynamic MAC features in small to medium-sized coexisting deployments. SGM is the least accurate and also requires a long computation time, so we argue it is the least attractive approach to model coexisting CSMA and duty cycle technologies. Finally, our hybrid model yields the time-average per-link SINR with reasonable accuracy and the throughput with good accuracy and is at least two orders of magnitude faster to compute than SGM and ns-3, making it very well suited for extensive Monte Carlo simulations and large networks.","PeriodicalId":131571,"journal":{"name":"2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130572138","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

WIP: Collaborative Approaches to Mitigate Links of Variable Quality in LoRa Networks 在制品网络:减少LoRa网络中可变质量链路的协作方法

2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2021-06-01 DOI: 10.1109/WoWMoM51794.2021.00044

Henrik Rosenberg, A. Reinhardt

引用次数: 1

Long-Term Wireless Sensor Network Deployments in Industry and Office Scenarios 长期无线传感器网络在工业和办公场景中的部署

2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2021-06-01 DOI: 10.1109/WoWMoM51794.2021.00024

T. Hänel, Leonhard Brüggemann, F. Loske, N. Aschenbruck

引用次数: 5

OSLo: Optical Sensor Localization through Mesh Networked Cameras 奥斯陆:通过网状网络摄像机的光学传感器定位

2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2021-06-01 DOI: 10.1109/WoWMoM51794.2021.00027

Hassaan Janjua, F. Yang, M. Ammar, David Newton, Seonhi Ro, Sam Michiels, D. Hughes

引用次数: 0

Secure Link Selection for Relay Networks with Buffer 带缓冲区的中继网络的安全链路选择

2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2021-06-01 DOI: 10.1109/WoWMoM51794.2021.00064

Dawei Wang, Yang Zhao, Xiao Tang, D. Zhai, Ziping Wei, Haotong Cao, Wei Liang

引用次数: 0