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Balanced Wireless Crowd Charging with Mobility Prediction and Social Awareness [article]

Tamoghna Ojha, Theofanis P. Raptis, Marco Conti, Andrea Passarella
2022 arXiv   pre-print
Motivated by this problem scenario, in this work, we present a wireless crowd charging method, namely MoSaBa, which leverages mobility prediction and social information for improved energy balancing.  ...  The advancements in peer-to-peer wireless power transfer (P2P-WPT) have empowered the portable and mobile devices to wirelessly replenish their battery by directly interacting with other nearby devices  ...  The proposed mobility and social-aware wireless energy balancing method is presented in Section IV.  ... 
arXiv:2204.09399v1 fatcat:htc4lmpcvffffiaw3wvfqvhwuy

Heterogeneity-aware P2P Wireless Energy Transfer for Balanced Energy Distribution [article]

Tamoghna Ojha, Theofanis P. Raptis, Marco Conti, Andrea Passarella
2022 arXiv   pre-print
In this work, we present a Heterogeneity-aware Wireless Energy Transfer (HetWET) method.  ...  The peer-to-peer (P2P) mode of WET brings improved flexibility to the charging process among the devices as they can maintain their mobility while replenishing their battery.  ...  It enables the devices to use wireless charging from devices such as wireless charging pads and mobile charging vehicles [4] , [5] , and even other peer devices [6], [7] .  ... 
arXiv:2205.11069v1 fatcat:yg7r4ygqkndopl3zsi34wth2gu

A Survey on Mobile Crowd-Sensing and Its Applications in the IoT Era

Khalid Abualsaud, Tarek M. Elfouly, Tamer Khattab, Elias Yaacoub, Loay Sabry Ismail, Mohamed Hossam Ahmed, Mohsen Guizani
2019 IEEE Access  
Hence, MCS applications make use of sensing and wireless communication capabilities provided by billions of smart mobile devices, e.g., Android and iOS-based mobile devices.  ...  Mobile crowd-sensing (MCS) is a new sensing paradigm that takes advantage of the extensive use of mobile phones that collect data efficiently and enable several significant applications.  ...  SPORTS Crowdsensing allows for crowd management through context-aware and location-aware services.  ... 
doi:10.1109/access.2018.2885918 fatcat:zpkhumhpjzbstpno24u4appmri

Algorithm and Distributed Computing for the Internet of Things

Juan A. Gómez-Pulido, Jorge Sá Silva, Takahiro Hara
2020 Sensors  
In this context, algorithmic techniques and efficient computer systems provide an opportunity to successfully address efficient data processing and intelligent data analysis.  ...  The ongoing generalization of Internet of Things and its presence and application in multiple fields is generating a large amount of data that can be used to extract knowledge, among other purposes.  ...  Acknowledgments: We would like to acknowledge all of the authors and peer reviewers for their contributions to this Special Issue.  ... 
doi:10.3390/s20164513 pmid:32806673 pmcid:PMC7472263 fatcat:rxsxufo5tve6vatlrlpuuunbfi

Table of contents

2020 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)  
NETWORKS AND MOBILE AND WIRELESS COMPUTING 23.1 1570677700 Localization Methods Based on Error Analysis and Modeling in One Dimension 0674 xi 23.2 1570680420 Design and Implementation of a  ...  Load Balancing in 5G Heterogeneous Networks 0467 SESSION 16: ARTIFICIAL INTELLIGENCE AND CONTROL THEORY 16.1 1570680078 Maximizing Airtime Efficiency for Reliable Broadcast Streams in WMNs with  ... 
doi:10.1109/uemcon51285.2020.9298057 fatcat:p4v3pn2m2zaaxdgobcaw5db76m

2021 Index IEEE Transactions on Mobile Computing Vol. 20

2022 IEEE Transactions on Mobile Computing  
Distributed and Energy-Efficient Mobile Crowdsensing with Charging Sta- Services.  ...  Energy-Efficient Mobile Crowdsensing with Charging Sta- Towards Personalized Task-Oriented Worker Recruitment in Mobile Crowd- tions by Deep Reinforcement Learning.  ... 
doi:10.1109/tmc.2021.3133125 fatcat:xbdfaozpkjbbjm3gfbmxcmzj6i

Mobile Sensing Systems

Elsa Macias, Alvaro Suarez, Jaime Lloret
2013 Sensors  
There are several types of mobile sensing: individual, participatory, opportunistic, crowd, social, etc. The object of sensing can be people-centered or environment-centered.  ...  We complete the above surveys with new works, review the barriers of mobile sensing systems and propose some ideas for efficiently implementing sensing, fusion, learning, security, privacy and energy saving  ...  partially supported by the -Ministerio de Ciencia e Innovación‖, through the -Plan Nacional de I+D+i 2008-2011‖ in the -Subprograma de Proyectos de Investigación Fundamental‖, project TEC2011-27516, and  ... 
doi:10.3390/s131217292 pmid:24351637 pmcid:PMC3892889 fatcat:bkxomrzsk5ewlhj5hvxfpmocai

IEEE Access Special Section Editorial: Communication and Fog/Edge Computing Toward Intelligent Connected Vehicles (ICVS)

Lei Shu, Junhui Zhao, Yi Gong, Changqing Luo, Tim Gordon
2021 IEEE Access  
This Special Section in IEEE Access focuses on innovative technologies and solutions enabled communication and edge computing toward ICVs.  ...  ., autonomous driving, safety early warning, natural language processing, etc.) for assisting both the drivers and passengers in vehicular environments.  ...  The article by Wu et al., ''Bilateral satisfaction aware participant selection with MEC for mobile crowd sensing,'' proposes a bilateral satisfaction aware participant selection mechanism in the edge-cloud  ... 
doi:10.1109/access.2021.3071260 doaj:3c15b73f232c41a199e81c178ee3a34d fatcat:c5xvpfeh3zf5fgyzkpzmdkw3jy

SOBER-MCS: Sociability-Oriented and Battery Efficient Recruitment for Mobile Crowd-Sensing

Fazel Anjomshoa, Burak Kantarci
2018 Sensors  
With this in mind, we propose a new social activity-aware recruitment policy, namely Sociability-Oriented and Battery-Efficient Recruitment for Mobile Crowd-Sensing (SOBER-MCS).  ...  The massive availability of personalized smart devices such as smartphones and wearables enable their penetration into the IoT ecosystem with their built-in sensors, particularly in Mobile Crowd-Sensing  ...  Figure 15 . 15 Number of breakout mobile phones: (a) mobile crowd-sensing benchmark; (b) SOBER-MCS with = 10%; (c) SOBER-MCS with = 15%; and (d) SOBER-MCS with = 20%.  ... 
doi:10.3390/s18051593 pmid:29772779 pmcid:PMC5982778 fatcat:pmpa5wlslvhl3mmhaachv6hf24

A Review on Scaling Mobile Sensing Platforms for Human Activity Recognition: Challenges and Recommendations for Future Research

Liliana I. Carvalho, Rute C. Sofia
2020 IoT  
This review paper contributes to raising awareness of challenges faced today by mobile sensing platforms that perform learning and behavior inference with respect to human routines: how current solutions  ...  Mobile sensing has been gaining ground due to the increasing capabilities of mobile and personal devices that are carried around by citizens, giving access to a large variety of data and services based  ...  Mobile sensing applications-and, in particular, mobile crowd sensing-are again gaining ground as a category of technology to assist with different aspects of physical and social well-being.  ... 
doi:10.3390/iot1020025 fatcat:j5doqye55bfa3oj6derzmszsha

2020 Index IEEE Internet of Things Journal Vol. 7

2020 IEEE Internet of Things Journal  
., and Bose, R., Rateless-Code-Based Secure Cooperative Transmission Scheme for Industrial IoT; JIoT July 2020 6550-6565 Jamalipour, A., see Murali, S., JIoT Jan. 2020 379-388 James, L.A., see Wanasinghe  ...  UAV Route in Wireless Charging Sensor Networks.  ...  ., +, JIoT Oct. 2020 10573-10580 Load-Balanced and QoS-Aware Software-Defined Internet of Things.  ... 
doi:10.1109/jiot.2020.3046055 fatcat:wpyblbhkrbcyxpnajhiz5pj74a

IEEE Access Special Section: Intelligent Data Sensing, Collection, and Dissemination in Mobile Computing

Xuxun Liu, Anfeng Liu, John Tadrous, Ligang He, Bo Ji, Zhongming Zheng
2020 IEEE Access  
The article ''Multi-step data prediction in wireless sensor networks based on one-dimensional CNN and bidirectional LSTM,'' by Cheng et al., proposes a new multi-step sensory data prediction model for  ...  In the study of Mobile Crowd Sensing (MCS) for the problem of information orientation, existing research has lacked task bidding and task assignment.  ... 
doi:10.1109/access.2020.3040051 fatcat:kgd4vkzh6bei5c6ckjdxmfygh4

An Efficient and Secure Data Transmission Mechanism for Internet of Vehicles Considering Privacy Protection in Fog Computing Environment

Wenjuan Zhang, Gang Li
2020 IEEE Access  
Then, the task allocation and data aggregation mechanism of privacy protection is proposed in the crowd-sensing model based on the assistance of fog nodes, and the location prediction method based on social  ...  of message transmission compared with other methods, which can achieve efficient and secure data transmission.  ...  With the rapid development of wireless communication technologies, sensing technologies, mobile computing and automation control technologies, The concept of Internet of Vehicles (IoV) came into being  ... 
doi:10.1109/access.2020.2983994 fatcat:su7de7b4mbeydcwjde4pflvjou

2020 Index IEEE Transactions on Vehicular Technology Vol. 69

2020 IEEE Transactions on Vehicular Technology  
+ Check author entry for coauthors ami-mFading Channels With Integer and Non-Integerm; TVT March 2020 2785-2801 Hoang, T.M., Tran, X.N., Nguyen, B.C., and Dung, L.T., On the Performance of MIMO Full-Duplex  ...  , Toward Swarm Coordination: Topol-ogy-Aware Inter-UAV Routing Optimization; TVT Sept. 2020 10177-10187 Hong, P., see Li, R., TVT April 2020 4006-4018 Hong, P., see Xu, J., TVT June 2020 6688-6698 Hong  ...  ., +, TVT Jan. 2020 578-592 Social-Aware UAV-Assisted Mobile Crowd Sensing in Stochastic and Dynamic Environments for Disaster Relief Networks.  ... 
doi:10.1109/tvt.2021.3055470 fatcat:536l4pgnufhixneoa3a3dibdma

Scanning the Issue

Azim Eskandarian
2020 IEEE transactions on intelligent transportation systems (Print)  
When tested on public data sets with images of real parking spaces, the proposed method shows robustness against large intra-class variabilities of vehicles and wide variations in vehicle pose and scale  ...  detection compared with current practice.  ...  Furthermore, the system performance of the designed LTE-T2T-based wireless communication systems in train-centric CBTC with Q-learning is shown to be better than traditional LTE-M and WLAN-based wireless  ... 
doi:10.1109/tits.2020.3021574 fatcat:cpxn24tjyvbcxf3fodglepuwsi
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