Enhancing Energy Efficiency of Sensors and Communication Devices in Opportunistic Networks Through Human Mobility Interaction Prediction by Ambreen Memon, Sardar M. N. Islam, Muhammad Nadeem Ali, Byung-Seo Kim

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Does Intercity Transportation Accessibility Matter? Its Effects on Regional Network Centrality in South Korea by Sangwan Lee, Jeongbae Jeon, Kuk Cho, Junhyuck Im

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Psychological Stress Identification and Evaluation Method Based on Mobile Human-Computer Interaction Equipment by Na Zhang

“…Through the BP of mobile human-computer interaction equipment, hereditary, genetic algorithms, and Hi-PLS regression method in the artificial neural network, the psychological pressure of college students is identified, evaluated, and predicted from three dimensions such as learning, life, and personal events. …”
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Research on mobile stroke unit based on 5G network technology by Yu SHENG, Zhiheng LIU, Liya SHAN, Yi FENG

“…,to connect and achieve healthy interaction with people,equipment,and resources related to health care,which can guarantee people's timely access to preven-tive and therapeutic medical services.The composition design,functional modules,implementation architecture,and innovative service models of 5G mobile stroke units were discussed.The combination of 5G network technology and mobile stroke units were analyzed,and the network requirements of 5G mobile stroke units was analyzed with spe-cific cases.…”
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Incentive mechanism based on auction model for mobile crowd sensing network by Yuanni LIU, Yaoxi LI, Huicong LI, Wanlin LI, Jianhui ZHANG, Guofeng ZHAO

“…The selfishness and uncertainty of user behaviors in the mobile crowd sensing network make them unwilling to participate in sensing activities,which may result to a lower sensing task completion rate.To deal with these problems,an incentive mechanism based on auction model was proposed.In order to maximize the utility of each user,the proposed incentive method based on reverse auction (IMRA) leveraged a task-centric method to choose winners,and payed them according to a critical-price strategy.Furthermore,the proposed user-bidirectional interaction incentive mechanism (UBIM) helped drop-out users (buyers) to transfer their unfinished tasks to new users.Simulation results show that,compared with TRAC and IMC-SS,IMRA can achieve a better performance in terms of average user utility and tasks coverage ratio,and the task completion ratio can also be improved by UBIM.…”
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An evolution model for the mobility of urban societal classes based on complex networks by Yi-Hua Zhou, Liang-Li Yang, Jieqi Lei, Rui-Jie Wu, Yi-Xiu Kong

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The impact of geographic, mobility and social media ties on massive-scale regional public emotional interaction by Jia Xu, Liangdong Lu, Jiuchang Wei

“…Notably, the easing of pandemic restrictions corresponded with a surge in positive emotional interactions in geographic and mobility ties. These findings underscore the role of physical and digital social networks, spanning geographic, mobility, and social media ties, in shaping public emotional interactions throughout different pandemic stages. …”
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Network analysis of interactions of rumination and anxiety on smartphone dependence symptoms by Sen sen Zhang, Sen sen Zhang, Shao hong Yong, Shao hong Yong, Jia tai Chen

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Dysbiosis associated with enhanced microbial mobility across the respiratory tract in pulmonary tuberculosis patients by Mingyang Qin, Weimin Ding, Lin Qin, Ruobing Liang, Yang Guo, Ying Zhao, Huifang Xu, Yanhua Wen, Yu Pang, Liang Li

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Dimensional reduction of an SIS epidemic network model with saturated treatment and human mobility by Si Li, Tingting Fu, Rong Yuan, Yongzheng Sun, Maoxing Liu

“…Globalization and intensified socioeconomic activities have led to complex interconnected social networks that enhance global interactions while also increasing the risks of transmitting infectious diseases. …”
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Mobile target localization based on iterative tracing for underwater wireless sensor networks by Ruolin Guo, Danyang Qin, Min Zhao, Guangchao Xu

“…Aiming at the problem of the stratification effect of underwater acoustic waves, the long propagation delay of messages, as well as the mobility of sensor nodes, a mobile target localization scheme for underwater wireless sensor network is proposed based on iterative tracing. …”
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An Probability-Based Energy Model on Cache Coherence Protocol with Mobile Sensor Network by Jihe Wang, Bing Guo, Meikang Qiu

“…Mobile sensor networks (MSNs) are widely used in various domains to monitor, record, compute, and interact the information within an environment. …”
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Mobile Secured IoT Sensors-Driven Network Using Efficient QoS Management by Mohammad Siraj, Majid Altamimi, Zeeshan Ahmad Abbasi

“…To increase the trustworthiness of dynamic networks, mobile devices interact with intelligence with lightweight processing strategies. …”
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An Overview of Distributed Firewalls and Controllers Intended for Mobile Cloud Computing by Cyril Godwin Suetor, Daniele Scrimieri, Amna Qureshi, Irfan-Ullah Awan

“…Mobile cloud computing (MCC) is a representation of the interaction between cloud computing and mobile devices, reshaping the utilisation of technology for consumers and businesses. …”
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Capturing city-transport interactions. An analysis on the urban rail network of Palermo (Italy) by Elif Sezer, João Igreja, Ignazio Vinci

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Design and Simulation of Mobile Robots Operating Within Networked Architectures Tailored for Emergency Situations by Marco Mărieș, Mihai Olimpiu Tătar

“…This paper presents a simulation approach for mobile robots designed to operate within networks intended for emergency response scenarios. …”
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Design and Implementation of Mobile Experiment Algorithm Designer Interface for Network Control System Laboratory by Jahan Zaib Bhatti, Guo-Ping Liu, Shafqat Ali, Nasim Ullah, Ivo Pergl, Lukas Prokop, Vojtech Blazek

“…This paper introduces the Mobile Client Interface (MCI), an Android application, that grants remote access and experimentation with the Networked Control System Laboratory (NCSLab) resources. …”
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Convolutional neural network for gesture recognition human-computer interaction system design. by Peixin Niu

“…Addressing the challenge posed by the insufficient feature extraction capability of existing network models, which hampers gesture recognition accuracy and increases model inference time, this paper introduces a novel gesture recognition algorithm based on an enhanced MobileNet network. …”
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Research on intrusion response strategy based on static Bayesian game in mobile edge computing network by Wei FAN, Cheng PENG, Dali ZHU, Yuqing WANG

“…In the mobile edge computing (MEC) environment, the resources of edge nodes are limited.It is difficult to detect the intrusion process accurately, and there is no effective intrusion response strategy to deal with external intrusions.An intrusion detection network structure suitable for mobile edge computing environment was proposed and an intrusion response decision model based on static Bayesian game was established to simulate the network interaction behavior between edge nodes and external intruders.The probability of attackers and defenders in the game process was predicted respectively.The influence of the system resource, the cost of intrusion response, the detection rate and false alarm rate were considered comprehensively by the intrusion response decision model.The response decision of the intrusion detection system was optimized on the basis of the considering both resource consumption of the intrusion detection and the privacy protection of the edge nodes.The factors that affected the decision-making of intrusion response were analyzed, and the experimental basis for the specific application was provided.…”
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Research on intrusion response strategy based on static Bayesian game in mobile edge computing network by Wei FAN, Cheng PENG, Dali ZHU, Yuqing WANG

“…In the mobile edge computing (MEC) environment, the resources of edge nodes are limited.It is difficult to detect the intrusion process accurately, and there is no effective intrusion response strategy to deal with external intrusions.An intrusion detection network structure suitable for mobile edge computing environment was proposed and an intrusion response decision model based on static Bayesian game was established to simulate the network interaction behavior between edge nodes and external intruders.The probability of attackers and defenders in the game process was predicted respectively.The influence of the system resource, the cost of intrusion response, the detection rate and false alarm rate were considered comprehensively by the intrusion response decision model.The response decision of the intrusion detection system was optimized on the basis of the considering both resource consumption of the intrusion detection and the privacy protection of the edge nodes.The factors that affected the decision-making of intrusion response were analyzed, and the experimental basis for the specific application was provided.…”
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