Ad Hoc & Sensor Wireless Networks最新文献

Enumeration of the Number of Spanning Trees of the Globe Network and its Subdivision 全球网络生成树数目的枚举及其细分

4区计算机科学

Ad Hoc & Sensor Wireless Networks Pub Date : 2023-09-28 DOI: 10.5121/jgraphoc.2023.15301

Basma Mohamed, Mohamed Amin

引用次数: 0

A HYBRID OPTIMIZATION ALGORITHMS FOR SOLVING METRIC DIMENSION PROBLEM 一种求解度量尺寸问题的混合优化算法

IF 0.9 4区计算机科学

Ad Hoc & Sensor Wireless Networks Pub Date : 2023-06-27 DOI: 10.5121/jgraphoc.2023.15201

Basma Mohamed, Mohamed Amin

引用次数: 1

Machine Learning Based Prediction with Parameters Tuning of Multi-Label Real Road Vehicles Characteristics 基于机器学习的多标签真实道路车辆特征参数整定预测

IF 0.9 4区计算机科学

Ad Hoc & Sensor Wireless Networks Pub Date : 2022-10-24 DOI: 10.1145/3551663.3558606

R. Qaddoura, Maram Bani Younes, A. Boukerche

{"title":"Machine Learning Based Prediction with Parameters Tuning of Multi-Label Real Road Vehicles Characteristics","authors":"R. Qaddoura, Maram Bani Younes, A. Boukerche","doi":"10.1145/3551663.3558606","DOIUrl":"https://doi.org/10.1145/3551663.3558606","url":null,"abstract":"The real-time traffic characteristics on the road network highly affect the safety conditions and the driving behaviors there. Early detection of crowded areas or hazardous conditions on the road network should affect the drivers' decisions and behavior to guarantee smooth and comfortable trips. Machine learning mechanisms have been mainly used for general prediction after extensive training processes. Over the road networks, trained machines could be really helpful to obtain instant predictions that assist drivers and autonomous vehicles there. However, the quality and efficiency of these machines are affected by several criteria including the quality of the used dataset and the tuning of the parameters of the regression algorithm. In this work, we investigate the performance of the most popular regression algorithms in terms of temporal prediction of the traffic characteristics in a real road scenario. Moreover, we optimize the regression algorithm by tuning the parameters using the grid search technique. From the experimental results, we can clearly notice the enhancements in predicting the traffic characteristics for different periods of time. We have observed that the number of neighbors, the distance, and the metric parameters' values are best tuned with the values of 4, 'Manhattan', and 'Distance', respectively, for the K-Nearest Neighbor (KNN) regression algorithm.","PeriodicalId":55557,"journal":{"name":"Ad Hoc & Sensor Wireless Networks","volume":"2 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90545504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Cost-effective Measurements of 5G Radio Resources Allocation for Telecom Market Regulator's Monitoring 面向电信市场监管机构监管的5G无线资源配置成本效益测度

IF 0.9 4区计算机科学

Ad Hoc & Sensor Wireless Networks Pub Date : 2022-10-24 DOI: 10.1145/3551663.3558684

J. M. Batalla, Sławomir Sujecki, Jacek Oko, J. Kelner

{"title":"Cost-effective Measurements of 5G Radio Resources Allocation for Telecom Market Regulator's Monitoring","authors":"J. M. Batalla, Sławomir Sujecki, Jacek Oko, J. Kelner","doi":"10.1145/3551663.3558684","DOIUrl":"https://doi.org/10.1145/3551663.3558684","url":null,"abstract":"The Regulatory Authority monitors and regulates the telecom market at a national-wide range. One of its main tasks is to put spectrum at disposal of the Mobile Network Operators (MNO) for serving the increase number of users and services. For this scope, the Regulator needs to have an independent estimation of the usage of the radio resources by the operators, so that it may anticipate future needs and to initiate actions (e.g., liberation of frequency bands) directed to fulfill the demands of the market. This paper presents a methodology for Regulator-triggered monitoring of 5G radio resources allocation. The requirements of the methodology are: (1) monitoring measurements must be external to the network, (2) information from the MNO is limited to the data of the radio infrastructure, such as localization and technical data of the antennas, and (3) any measurements need to be cost-effective since it is supposed that the Regulator will make extended test campaigns through the whole national territory. Our results of 5G measurements validate the methodology and show the limitations of the estimation of radio resource allocation.","PeriodicalId":55557,"journal":{"name":"Ad Hoc & Sensor Wireless Networks","volume":"28 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86667358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Privacy-Aware Vehicle Emissions Control System for Traffic Light Intersections 基于隐私感知的交通信号灯交叉口车辆排放控制系统

IF 0.9 4区计算机科学

Ad Hoc & Sensor Wireless Networks Pub Date : 2022-10-24 DOI: 10.1145/3551663.3558686

Pablo Andrés Barbecho Bautista, L. Urquiza-Aguiar, M. Aguilar-Igartua

{"title":"Privacy-Aware Vehicle Emissions Control System for Traffic Light Intersections","authors":"Pablo Andrés Barbecho Bautista, L. Urquiza-Aguiar, M. Aguilar-Igartua","doi":"10.1145/3551663.3558686","DOIUrl":"https://doi.org/10.1145/3551663.3558686","url":null,"abstract":"This paper proposes a privacy-aware reinforcement learning (RL) framework to reduce carbon emissions of vehicles approaching light traffic intersections. Taking advantage of vehicular communications, traffic lights disseminate their state (i.e., traffic light cycle) among vehicles in their proximity. Then, the RL model is trained using public traffic lights data while preserving private car information locally (i.e., at the vehicle premises). Vehicles act as the agents of the model, and traffic infrastructure serves as the environment where the agent lives. Each time, the RL model decides if the vehicle should accelerate or decelerate (i.e., the model action) based on received traffic light observations. The optimal RL model strategy, dictating vehicles' driving speed, is learned following the proximal policy optimization algorithm. Results show that by moderating vehicles' speed when approximating traffic light intersections, gas emissions are reduced by 25% CO2 and 38% NOx emissions. The same happens for EVs that reduce energy consumption by 20W/h compared to not using the model. at intersections. The final impact of using the model refers to a negligible increment of 20s in the trip duration.","PeriodicalId":55557,"journal":{"name":"Ad Hoc & Sensor Wireless Networks","volume":"7 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81691584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

RPL+: An Improved Parent Selection Strategy for RPL in Wireless Smart Grid Networks RPL+:一种改进的无线智能电网RPL选择策略

IF 0.9 4区计算机科学

Ad Hoc & Sensor Wireless Networks Pub Date : 2022-10-24 DOI: 10.1145/3551663.3558677

Carlos Lester Dueñas Santos, J. León, A. M. Mezher, J. Cardenas-Barrera, J. Meng, Eduardo Castillo Guerra

引用次数: 7

Detecting Malicious Use of DoH Tunnels Using Statistical Traffic Analysis 利用流量统计分析检测DoH隧道的恶意使用

IF 0.9 4区计算机科学

Ad Hoc & Sensor Wireless Networks Pub Date : 2022-10-24 DOI: 10.1145/3551663.3558605

Marta Moure-Garrido, Celeste Campo, C. García-Rubio

{"title":"Detecting Malicious Use of DoH Tunnels Using Statistical Traffic Analysis","authors":"Marta Moure-Garrido, Celeste Campo, C. García-Rubio","doi":"10.1145/3551663.3558605","DOIUrl":"https://doi.org/10.1145/3551663.3558605","url":null,"abstract":"DNS plays a fundamental role in the operation of ubiquitous networks. All devices connected to these networks need DNS to work, both for traditional domain name to IP address translation, and for more advanced services such as resource discovery. At first, the DNS communication protocol presented certain security problems: integrity, authenticity and confidentiality. DNSSEC provides security but still does not guarantee confidentiality. To solve this problem, DNS over TLS (DoT) and DNS over HTTPS (DoH) were defined. In recent years, DNS tunneling, a covert form of encapsulating data transmission, has been used to encapsulate malicious traffic in a DNS connection. DoT and DoH versions complicate the detection of these tunnels because the encrypted data prevents performing an analysis of the content of the DNS traffic. Previous work has used machine learning techniques to identify DoH tunnels, but these have limitations. In this study, we identify the most significant features that singularize malicious traffic from benign traffic by statistical analysis. Based on the selected features, we obtain satisfactory results in the classification between benign and malicious DoH traffic. The study reveals that it is possible to differentiate traffic based on certain statistical parameters.","PeriodicalId":55557,"journal":{"name":"Ad Hoc & Sensor Wireless Networks","volume":"104 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75992092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Performance Evaluation and Testbed for Delivering SRT Live Content using DASH Low Latency Streaming Systems 使用DASH低延迟流媒体系统交付SRT实时内容的性能评估和测试平台

IF 0.9 4区计算机科学

Ad Hoc & Sensor Wireless Networks Pub Date : 2022-10-24 DOI: 10.1145/3551663.3558674

R. Belda, P. Arce, I. D. Fez, J. C. Guerri

引用次数: 1

Performance Evaluation of Wi-Fi HaLow, NB-IoT and LoRa for Smart City Applications 面向智慧城市应用的Wi-Fi HaLow、NB-IoT和LoRa性能评估

IF 0.9 4区计算机科学

Ad Hoc & Sensor Wireless Networks Pub Date : 2022-10-24 DOI: 10.1145/3551663.3558596

R. Verhoeven, Stash Kempinski, N. Meratnia

引用次数: 4

Behind the Mix-Zones Scenes: On the Evaluation of the Anonymization Quality 混区场景背后:匿名化质量评价研究

IF 0.9 4区计算机科学

Ad Hoc & Sensor Wireless Networks Pub Date : 2022-10-24 DOI: 10.1145/3551663.3558601

Ekler Paulino de Mattos, A. C. Domingues, Fabrício A. Silva, Heitor S. Ramos, A. Loureiro

{"title":"Behind the Mix-Zones Scenes: On the Evaluation of the Anonymization Quality","authors":"Ekler Paulino de Mattos, A. C. Domingues, Fabrício A. Silva, Heitor S. Ramos, A. Loureiro","doi":"10.1145/3551663.3558601","DOIUrl":"https://doi.org/10.1145/3551663.3558601","url":null,"abstract":"In the flowering of ubiquitous computing, networks like the Internet of Things and the Internet of Vehicles have contributed to connecting objects and sharing location services in broad environments like smart cities bringing many benefits to citizens. However, these services yield massive and unrestricted mobility data of citizens that pose privacy concerns, among them recovering the identity of citizens with linking attacks. Although several privacy mechanisms have been proposed to solve anonymization problems, there are few studies about their behavior and analysis of the data quality anonymized by these techniques. In this paper, we introduce the anonymization quality. For this, we propose analyzing the mix-zones metrics Amount of Cars on Mix-zone (ACM), Interval of Arrival Time between Cars on Mix-zones (ITM), and Activation Time of the Mix-zone (ATM) for characterizing and evaluating the impacts of anonymization quality over time and space in mobility data. The results showed that mix-zone metrics reflect anonymization behavior and can measure the anonymization quality over time. This insight can contribute significantly to building privacy proposes based on anonymization more effectively than based only on traffic flow. To our knowledge, this is the first work that uses mix-zones metrics analysis to observe the anonymization behavior in quality terms.","PeriodicalId":55557,"journal":{"name":"Ad Hoc & Sensor Wireless Networks","volume":"34 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82773475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2