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International Journal of Ad Hoc and Ubiquitous Computing最新文献

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5G network traffic control: a temporal analysis and forecasting of cumulative network activity using machine learning and deep learning technologies 5G网络流量控制:利用机器学习和深度学习技术对累积网络活动进行时间分析和预测
IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijahuc.2023.10052396
Ramraj Dangi, P. Lalwani, M. Mishra
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引用次数: 3
Fitness approximation with RF algorithm dedicated to WSN node deployment for a soil monitoring application 用于土壤监测应用的无线传感器网络节点部署的射频算法适应度逼近
IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijahuc.2023.10056356
Soumaya Ferhat Taleb, Nour El-Houda Benalia, Rabah Sadoun
{"title":"Fitness approximation with RF algorithm dedicated to WSN node deployment for a soil monitoring application","authors":"Soumaya Ferhat Taleb, Nour El-Houda Benalia, Rabah Sadoun","doi":"10.1504/ijahuc.2023.10056356","DOIUrl":"https://doi.org/10.1504/ijahuc.2023.10056356","url":null,"abstract":"","PeriodicalId":50346,"journal":{"name":"International Journal of Ad Hoc and Ubiquitous Computing","volume":"93 1","pages":"72-86"},"PeriodicalIF":0.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83446473","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: 0
Theoretical analysis of biases in TLS encryption scheme Chacha 128 TLS加密方案chacha128中偏置的理论分析
IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijahuc.2023.10052676
S. Karthika, K. Singh
{"title":"Theoretical analysis of biases in TLS encryption scheme Chacha 128","authors":"S. Karthika, K. Singh","doi":"10.1504/ijahuc.2023.10052676","DOIUrl":"https://doi.org/10.1504/ijahuc.2023.10052676","url":null,"abstract":"","PeriodicalId":50346,"journal":{"name":"International Journal of Ad Hoc and Ubiquitous Computing","volume":"17 1","pages":"47-58"},"PeriodicalIF":0.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87745451","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: 0
WeECG: a low-cost real-time wireless ECG for new born monitoring with error concealment WeECG:低成本的实时无线心电图,用于新生儿监护,具有错误隐藏功能
IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijahuc.2023.10053540
D. Sadok, Daniele Wanderley Brooman, A. M. N. C. Ribeiro, Jacinaldo Balbino de Medeiros Junior, J. Kelner, José Henrique Silva Moura
{"title":"WeECG: a low-cost real-time wireless ECG for new born monitoring with error concealment","authors":"D. Sadok, Daniele Wanderley Brooman, A. M. N. C. Ribeiro, Jacinaldo Balbino de Medeiros Junior, J. Kelner, José Henrique Silva Moura","doi":"10.1504/ijahuc.2023.10053540","DOIUrl":"https://doi.org/10.1504/ijahuc.2023.10053540","url":null,"abstract":"","PeriodicalId":50346,"journal":{"name":"International Journal of Ad Hoc and Ubiquitous Computing","volume":"126 1","pages":"83-94"},"PeriodicalIF":0.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80026207","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
Energy consumption models in VANET simulation tools for electric vehicles: a literature survey 电动汽车VANET仿真工具中的能耗模型:文献综述
4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijahuc.2023.127764
Insaf Sagaama, Amine Kchiche, Wassim Trojet, Farouk Kamoun
Electric vehicles (EVs) have been widely recognised as a key technology of the intelligent transportation systems (ITSs) to make both public and private transportation services more economic and ecological. The energy-saving in the case of EVs is a viable solution to promote smart navigation and extending the driving range. Realistic traffic simulations contribute to the large-scale diffusion of EVs in the future market. In particular, vehicular ad hoc networks (VANETs) simulation tools integrate often an energy model for calculating the vehicle energy consumption. Hence, the EVs raise a new challenge about integrating reliable and accurate energy models in the traffic simulators for this category of vehicles. In this paper, we present a thorough study about energy models elaborated in the automotive sector to provide valuable enhancements to VANET simulators. The main goal is to establish an accurate estimation of the EV consumption and recuperation in VANET simulation tools.
电动汽车(ev)已被广泛认为是智能交通系统(its)的关键技术,使公共和私人交通服务更加经济和生态。对于电动汽车而言,节能是促进智能导航和延长续驶里程的可行方案。真实的交通模拟有助于电动汽车在未来市场的大规模推广。特别是,车辆自组织网络(VANETs)仿真工具通常集成了用于计算车辆能耗的能量模型。因此,如何在此类车辆的交通仿真器中集成可靠、准确的能量模型对电动汽车提出了新的挑战。在本文中,我们提出了一个关于能源模型的深入研究,详细阐述了汽车行业,以提供有价值的增强VANET模拟器。主要目标是在VANET仿真工具中建立对电动汽车消耗和再生的准确估计。
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引用次数: 1
Hop-based void avoidance routing protocol for underwater acoustic sensor networks 基于跳点的水声传感器网络空避路由协议
IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijahuc.2023.131772
Pradeep Nazareth, B. R. Chandavarkar
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引用次数: 0
Hybrid Optimization Enabled Deep Learning for Sentiment Rating Prediction towards Text Summarization and Question Answering System 面向文本摘要问答系统的混合优化深度学习情感评级预测
4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijahuc.2023.10059940
Sudha Pelluri, Parsi Kalpana
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引用次数: 0
Relay-based spectrum sensing with wind energy harvesting 基于继电器的频谱传感与风能收集
4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijahuc.2023.134601
Majed Abdouli
In this paper, we derive the detection probability when primary user (PU) and relay nodes harvest energy from wind using a rotor of radius r. There are three phases in the network model. In the first one, PU and relays harvest power from wind over αT seconds where 0 < α < 1 and T is frame duration. Then, PU sends its signal over (1 - α)T/2 seconds. In the last phase, the best relay amplifies the PU signal to a fusion node (FN) where spectrum sensing is performed using the energy detector (ED). We derive an upper bound of the detection probability and study the effects of the number of relays K, the number of symbols M used by the ED, the false alarm probability Pf and the average wind speed μ. Our results are valid for Rayleigh channels with relay selection using amplify and forward protocol. The theoretical results are confirmed with MATLAB simulations.
在本文中,我们推导了主用户(PU)节点和中继节点使用半径为r的转子从风中收集能量时的检测概率。网络模型分为三个阶段。在第一种情况下,PU和继电器在αT秒内从风中收集电力,其中0 < α < 1, T是帧持续时间。然后,PU在(1 - α)T/2秒内发送信号。在最后阶段,最佳中继将PU信号放大到融合节点(FN),其中使用能量检测器(ED)执行频谱传感。我们推导了检测概率的上界,并研究了继电器个数K、ED使用的符号数M、虚警概率Pf和平均风速μ对检测概率的影响。我们的结果适用于使用放大和转发协议的中继选择瑞利信道。通过MATLAB仿真验证了理论结果。
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引用次数: 0
Throughput optimisation with wind energy harvesting 利用风能收集实现吞吐量优化
4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijahuc.2023.134609
Faisal Alanazi
In this paper, we optimise the instantaneous and average throughput of wireless communications when the source harvests power from wind. We select the value of packet length to optimise the instantaneous or average throughput. Instantaneous throughput optimisation offers up to 5 dB gain versus average throughput optimisation. Average throughput optimisation offers a larger throughput than any packet length. We also study the effects of average wind speed and the results are obtained for Rayleigh channels. We derive the SNR statistics when the source harvests power from wind. Our derivations are valid for any position of nodes and any average wind speed. Average throughput optimisation offers a larger throughput than any packet length as suggested in the literature. We obtained up to 1.5 dB gain using average throughput optimisation when compared to packet length N = 200, 500. Instantaneous throughput optimisation allows up to 5 dB gain versus average throughput optimisation.
在本文中,我们优化了当电源从风能中获取电力时无线通信的瞬时和平均吞吐量。我们选择数据包长度的值来优化瞬时或平均吞吐量。与平均吞吐量优化相比,瞬时吞吐量优化可提供高达5 dB的增益。平均吞吐量优化提供比任何数据包长度更大的吞吐量。我们还研究了平均风速的影响,并得到了瑞利通道的结果。我们从风力发电中得到信噪比统计。我们的推导对任何节点位置和任何平均风速都有效。平均吞吐量优化提供了比文献中建议的任何数据包长度更大的吞吐量。与数据包长度N = 200,500相比,我们使用平均吞吐量优化获得了高达1.5 dB的增益。与平均吞吐量优化相比,瞬时吞吐量优化允许高达5 dB的增益。
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引用次数: 0
A bigraphical approach to model and verify ontology alignment 建模和验证本体一致性的图形方法
4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijahuc.2023.131775
Manel Kolli
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引用次数: 1
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International Journal of Ad Hoc and Ubiquitous Computing
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