An intelligent big data collection technology based on micro mobile data centers for crowdsensing vehicular sensor network
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Transmitting sensor network big data to the cloud introduces significant network latency.
“According to Ren et al. [21], a sensor network produces big data, and transmitting those to the cloud introduces significant network latency.”
From Edge-Cloud Synergy for AI-Enhanced Sensor Network Data: A Real-Time Predictive Maintenance Framework (2024) · cites this paper as [21]
Cites
Internet of Things (IoT): A vision, architectural elements, and future directions
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013) · Future Generation Computer Systems · doi:10.1016/j.future.2013.01.010 · Cited by 12,293 · see citing works
Secure integration of IoT and Cloud Computing
Stergiou, C. L., Psannis, K. E., Kim, B., & Gupta, B. B. (2016) · Future Generation Computer Systems · doi:10.1016/j.future.2016.11.031 · Cited by 1,114 · see citing works
Thiagarajan, A., Ravindranath, L., LaCurts, K., Madden, S. R., Balakrishnan, H., Toledo, S., & Eriksson, J. (2009) · ACM Conference on Embedded Networked Sensor Systems (SenSys) · doi:10.1145/1644038.1644048 · Cited by 791 · see citing works
Lo, N., & Tsai, J. (2015) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2015.2502322 · Cited by 308 · see citing works
Bai, F., Stancil, D. D., & Krishnan, H. (2010) · doi:10.1145/1859995.1860033 · Cited by 279 · see citing works
IoT Applications on Secure Smart Shopping System
Li, R., Song, T., Capurso, N., Yu, J., Couture, J., & Cheng, X. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2706698 · Cited by 177 · see citing works
An AUV-Assisted Data Gathering Scheme Based on Clustering and Matrix Completion for Smart Ocean
Huang, M., Zhang, K., Zeng, Z., Wang, T., & Liu, Y. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2988035 · Cited by 152 · see citing works
A Secure Mechanism for Big Data Collection in Large Scale Internet of Vehicle
Guo, L., Dong, M., Ota, K., Li, Q., Ye, T., Wu, J., & Li, J. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2686451 · Cited by 147 · see citing works
Design of a provably secure biometrics-based multi-cloud-server authentication scheme
Kumari, S., Li, X., Wu, F., Das, A. K., Choo, K. R., & Shen, J. (2016) · Future Generation Computer Systems · doi:10.1016/j.future.2016.10.004 · Cited by 145 · see citing works
Enabling Verifiable and Dynamic Ranked Search over Outsourced Data
Liu, Q., Tian, Y., Wu, J., Peng, T., & Wang, G. (2019) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2019.2922177 · Cited by 141 · see citing works
GI/Geom/1 queue based on communication model for mesh networks
Wei, W., Xu, Q., Wang, L., Hei, X., Shen, P. Y., Shi, W., & Shan, L. (2013) · International Journal of Communication Systems · doi:10.1002/dac.2522 · Cited by 139 · see citing works
Recover Corrupted Data in Sensor Networks: A Matrix Completion Solution
Xie, K., Ning, X., Wang, X., Xie, D., Cao, J., Xie, G., & Wen, J. (2016) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2016.2595569 · Cited by 135 · see citing works
Trust based energy efficient data collection with unmanned aerial vehicle in edge network
Jiang, B., Huang, G., Wang, T., Gui, J., & Zhu, X. (2020) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.3942 · Cited by 126 · see citing works
Mobility Based Trust Evaluation for Heterogeneous Electric Vehicles Network in Smart Cities
Wang, T., Luo, H., Zeng, X., Yu, Z., Liu, A., & Sangaiah, A. K. (2020) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2020.2997377 · Cited by 119 · see citing works
Privacy-Enhanced Data Collection Based on Deep Learning for Internet of Vehicles
Wang, T., Cao, Z., Wang, S., Wang, J., Qi, L., Liu, A., Xie, M., & Li, X. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2962844 · Cited by 115 · see citing works
Social-Network-Assisted Worker Recruitment in Mobile Crowd Sensing
Wang, J., Wang, F., Wang, Y., Zhang, D., Wang, L., & Qiu, Z. (2018) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2018.2865355 · Cited by 111 · see citing works
Bonola, M., Bracciale, L., Loreti, P., Amici, R., Rabuffi, A., & Bianchi, G. (2016) · Ad Hoc Networks · doi:10.1016/j.adhoc.2016.02.002 · Cited by 107 · see citing works
Intelligent route planning on large road networks with efficiency and privacy
Liu, Q., Hou, P., Wang, G., Peng, T., & Zhang, S. (2019) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2019.06.012 · Cited by 101 · see citing works
An improved smart card based authentication scheme for session initiation protocol
Kumari, S., Chaudhry, S. A., Wu, F., Li, X., Farash, M. S., & Khan, M. K. (2015) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-015-0409-0 · Cited by 87 · see citing works
Noise-Aware DVFS for Efficient Transitions on Battery-Powered IoT Devices
Zhuo, C., Luo, S., Gan, H., Hu, J., & Shi, Z. (2019) · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · doi:10.1109/tcad.2019.2917844 · Cited by 84 · see citing works
Low Cost and High Accuracy Data Gathering in WSNs with Matrix Completion
Xie, K., Wang, L., Wang, X., Xie, G., & Wen, J. (2017) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2017.2775230 · Cited by 83 · see citing works
Zhu, C., Zhou, H., Leung, V. C. M., Wang, K., Zhang, Y., & Yang, L. T. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1700142 · Cited by 82 · see citing works
Data prediction model in wireless sensor networks based on bidirectional LSTM
Cheng, H., Xie, Z., Wu, L., Yu, Z., & Li, R. (2019) · EURASIP Journal on Wireless Communications and Networking · doi:10.1186/s13638-019-1511-4 · Cited by 82 · see citing works
Tan, J., Liu, W., Wang, T., Zhao, M., Liu, A., & Zhang, S. (2020) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.3871 · Cited by 75 · see citing works
Li, T., Liu, W., Wang, T., Zhao, M., Li, X., & Ma, M. (2020) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.3956 · Cited by 75 · see citing works
Objective-Variable Tour Planning for Mobile Data Collection in Partitioned Sensor Networks
Liu, X., Lin, P., Liu, T., Wang, T., Liu, A., & Xu, W. (2020) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2020.3003004 · Cited by 72 · see citing works
Named Data Networking for Software Defined Vehicular Networks
Ahmed, S. H., Bouk, S. H., Kim, D., Rawat, D. B., & Song, H. H. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1601137 · Cited by 71 · see citing works
A trust-based minimum cost and quality aware data collection scheme in P2P network
Ren, Y., Zeng, Z., Wang, T., Zhang, S., & Zhi, G. (2020) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-020-00898-2 · Cited by 68 · see citing works
Energy Balance-Based Steerable Arguments Coverage Method in WSNs
Wei, W., Sun, Z., Song, H. H., Wang, H. H., Fan, X., & Chen, X. (2017) · IEEE Access · doi:10.1109/access.2017.2682845 · Cited by 64 · see citing works
Position based routing in crowd sensing vehicular networks
Bazzi, A., & Zanella, A. (2015) · Ad Hoc Networks · doi:10.1016/j.adhoc.2015.06.005 · Cited by 47 · see citing works
Multitask Allocation to Heterogeneous Participants in Mobile Crowd Sensing
Zhu, W., Guo, W., Yu, Z., & Xiong, H. (2018) · Wireless Communications and Mobile Computing · doi:10.1155/2018/7218061 · Cited by 44 · see citing works
Social-Aware Data Collection Scheme Through Opportunistic Communication in Vehicular Mobile Networks
Tang, Z., Liu, A., & Huang, C. (2016) · IEEE Access · doi:10.1109/access.2016.2611863 · Cited by 43 · see citing works
Allocating Heterogeneous Tasks in Participatory Sensing with Diverse Participant-Side Factors
Wang, J., Wang, F., Wang, Y., Zhang, D., Lim, B. Y., & Wang, L. (2018) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2018.2869387 · Cited by 43 · see citing works
Time-Efficient Target Tags Information Collection in Large-Scale RFID Systems
Liu, X., Yin, J., Zhang, S., Xiao, B., & Ou, B. (2020) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2020.2992256 · Cited by 40 · see citing works
Kuang, Z., Li, G., Zhang, L., Zhou, H., Li, C., & Liu, A. (2020) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-020-00915-4 · Cited by 33 · see citing works
Vitruvius: An expert system for vehicle sensor tracking and managing application generation
Cueva-Fernandez, G., Espada, J. P., García‐Díaz, V., García, C. G., & García-Fernández, N. (2014) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2014.02.013 · Cited by 29 · see citing works
A provably secure biometrics and ECC‐based authentication and key agreement scheme for WSNs
Kumari, S., & Renuka, K. (2019) · International Journal of Communication Systems · doi:10.1002/dac.4194 · Cited by 28 · see citing works
Liu, X., Zhou, H., Xiang, J., Xiong, S., Hou, K. M., de Vaulx, C., Wang, H., Shen, T., & Wang, Q. (2018) · Wireless Communications and Mobile Computing · doi:10.1155/2018/7494829 · Cited by 12 · see citing works
Cyber-Physical-Social-Mediated Communication
Yu, Z., Guo, W., Zhang, D., Wang, L., & Guo, B. (2020) · IT Professional · doi:10.1109/mitp.2019.2940568 · Cited by 3 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Edge Intelligence: Empowering Intelligence to the Edge of Network
Xu, D., Li, T., Li, Y., Su, X. J., Tarkoma, S., Jiang, T., Crowcroft, J., & Hui, P. (2021) · Proceedings of the IEEE · doi:10.1109/jproc.2021.3119950 · Cited by 281 · see citing works
Multiagent Deep Reinforcement Learning for Vehicular Computation Offloading in IoT
Zhu, X., Luo, Y., Liu, A., Bhuiyan, M. Z. A., & Zhang, S. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3040768 · Cited by 209 · see citing works
Li, X., Tan, J., Liu, A., Vijayakumar, P., Kumar, N., & Alazab, M. (2020) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2020.3040557 · Cited by 184 · see citing works
Huang, S., Zeng, Z., Ota, K., Dong, M., Wang, T., & Xiong, N. N. (2020) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2020.3038454 · Cited by 110 · see citing works
Liu, R., Liu, A., Qu, Z., & Xiong, N. N. (2021) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2021.3122567 · Cited by 108 · see citing works
ITCN: An Intelligent Trust Collaboration Network System in IoT
Guo, J., Liu, A., Ota, K., Dong, M., Deng, X., & Xiong, N. N. (2021) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2021.3057881 · Cited by 94 · see citing works
Edge-Cloud Synergy for AI-Enhanced Sensor Network Data: A Real-Time Predictive Maintenance Framework
Sathupadi, K., Achar, S., Bhaskaran, S. V., Faruqui, N., Abdullah-Al-Wadud, M., & Uddin, J. (2024) · Sensors · doi:10.3390/s24247918 · Cited by 89 · see citing works
“According to Ren et al. [21], a sensor network produces big data, and transmitting those to the cloud introduces significant network latency.”
An Intelligent Game-Based Offloading Scheme for Maximizing Benefits of IoT-Edge-Cloud Ecosystems
Yu, M., Liu, A., Xiong, N. N., & Wang, T. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3039828 · Cited by 81 · see citing works
A privacy-protected intelligent crowdsourcing application of IoT based on the reinforcement learning
Ren, Y., Liu, W., Liu, A., Wang, T., & Li, A. (2021) · Future Generation Computer Systems · doi:10.1016/j.future.2021.09.003 · Cited by 69 · see citing works
Result return aware offloading scheme in vehicular edge networks for IoT
Huang, W. H., Ota, K., Dong, M., Wang, T., Zhang, S., & Zhang, J. (2020) · Computer Communications · doi:10.1016/j.comcom.2020.10.019 · Cited by 48 · see citing works
Teng, H., Dong, M., Liu, Y., Wang, T., & Liu, X. (2021) · Future Generation Computer Systems · doi:10.1016/j.future.2021.01.032 · Cited by 45 · see citing works
Trust based task offloading scheme in UAV-enhanced edge computing network
Ouyang, Y., Liu, W., Yang, Q., Mao, X., & Li, F. (2021) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-021-01137-y · Cited by 44 · see citing works
An Enhanced Extreme Learning Machine for Dissolved Oxygen Prediction in Wireless Sensor Networks
Kuang, L., Shi, P., Hua, C., Chen, B., & Zhu, H. (2020) · IEEE Access · doi:10.1109/access.2020.3033455 · Cited by 39 · see citing works
Computation offloading through mobile vehicles in IoT-edge-cloud network
Long, J., Luo, Y., Zhu, X., Luo, E., & Huang, M. (2020) · EURASIP Journal on Wireless Communications and Networking · doi:10.1186/s13638-020-01848-5 · Cited by 29 · see citing works
HS-DCell: A Highly Scalable DCell-Based Server-Centric Topology for Data Center Networks
Wang, G., Zhang, Y., Yu, J., Ma, M., Hu, C., Fan, J., & Zhang, L. (2024) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2024.3398628 · Cited by 28 · see citing works
Energy-aware MAC protocol for data differentiated services in sensor-cloud computing
Liu, S., Huang, G., Gui, J., Wang, T., & Li, X. (2020) · Journal of Cloud Computing Advances Systems and Applications · doi:10.1186/s13677-020-00196-5 · Cited by 28 · see citing works
A verifiable trust evaluation mechanism for ultra-reliable applications in 5G and beyond networks
Ouyang, Y., Zeng, Z., Li, X., Wang, T., & Liu, X. (2021) · Computer Standards & Interfaces · doi:10.1016/j.csi.2021.103519 · Cited by 26 · see citing works
Diop, E. B., Chenal, J., Tekouabou, S. C. K., & Azmi, R. (2022) · Sustainability · doi:10.3390/su141811461 · Cited by 26 · see citing works
Xiang, X., Gui, J., & Xiong, N. N. (2021) · IEEE Transactions on Green Communications and Networking · doi:10.1109/tgcn.2021.3068257 · Cited by 22 · see citing works
Cost-Effective Active Sparse Urban Sensing: Adversarial Autoencoder Approach
Zhu, K., Zhang, A., & Niyato, D. T. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3060815 · Cited by 17 · see citing works
An intelligent charging scheme maximizing the utility for rechargeable network in smart city
Ren, Y., Liu, A., Mao, X., & Li, F. (2021) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2021.101457 · Cited by 17 · see citing works
Fast Multicast With Adjusting Transmission Power and Active Slots in Software Define IoT
Li, A., Liu, W., Zhang, S., & Xie, M. (2020) · IEEE Access · doi:10.1109/access.2020.3043762 · Cited by 14 · see citing works
Delay-Oriented Probabilistic Edge Caching Strategy in a Device-to-Device-Enabled IoT System
Gao, X., Qian, Z., & Wang, X. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2023.3305014 · Cited by 14 · see citing works
Ra, G.-J., Kim, D., Seo, D., & Lee, I.-Y. (2021) · IEEE Access · doi:10.1109/access.2021.3067958 · Cited by 12 · see citing works
Umale, B. R., & More, N. N. (2024) · Multimedia Tools and Applications · doi:10.1007/s11042-024-18172-5 · Cited by 11 · see citing works
PA-WuRES: A green pre-awake routing protocol for wake-up radio enable sensor networks
Zeng, Z., He, B., Liu, A., Zhang, S., & Xiong, N. N. (2023) · Alexandria Engineering Journal · doi:10.1016/j.aej.2023.01.018 · Cited by 11 · see citing works
Early Wake-Up Ahead Node for Fast Code Dissemination in Wireless Sensor Networks
Deng, Q., Ouyang, Y., Tian, S., Ran, R., Gui, J., & Sekiya, H. (2021) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2021.3066216 · Cited by 10 · see citing works
A Class of Differential Data Processing-Based Data Gathering Schemes in Internet of Things
Zhang, R., Zhang, S., Wang, T., & Xiong, N. N. (2021) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2021.3104220 · Cited by 10 · see citing works
Xie, Z., Bu, W., Feng, H., & Wang, Y. (2024) · Alexandria Engineering Journal · doi:10.1016/j.aej.2024.09.052 · Cited by 9 · see citing works
Guo, J., Zhang, M., Shang, Q., Liu, F., Wu, A., & Li, X. (2021) · Sensors · doi:10.3390/s21165429 · Cited by 9 · see citing works
Research on Data Sharing Architecture for Ecological Monitoring Using Iot Streaming Data
Wu, A., Guo, J., & Peng-fei, Y. (2020) · IEEE Access · doi:10.1109/access.2020.3034466 · Cited by 8 · see citing works
Chen, J., Zhou, F., Guo, Z., & Wan, J. (2020) · IEEE Access · doi:10.1109/access.2020.3037123 · Cited by 7 · see citing works
Secure and Reliable ML-based Disease Detection for a Medical Wireless Body Sensor Networks
Mohamed, M. B., Meddeb-Makhlouf, A., Fakhfakh, A., & Kanoun, O. (2022) · International Journal of Biology and Biomedical Engineering · doi:10.46300/91011.2022.16.26 · Cited by 7 · see citing works
Performance Analysis of IoT networks with Mobile Data Collectors
Ma, Y., Sun, H., Li, S., Wang, X., & Quek, T. Q. S. (2021) · IEEE Wireless Communications and Networking Conference · doi:10.1109/wcnc49053.2021.9417268 · Cited by 7 · see citing works
Cuzzocrea, A., & Soufargi, S. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.126387 · Cited by 6 · see citing works
A secure data collection strategy using mobile vehicles joint UAVs in smart city
Deng, Q., Huang, S., Li, Z., Guo, B., Xiang, L., & Ran, R. (2021) · Computer Networks · doi:10.1016/j.comnet.2021.108440 · Cited by 6 · see citing works
Edge Controller-Assisted SDN Architecture for Internet of Things
Das, R. K., Ahmed, N., Maji, A. K., & Saha, G. K. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2023.3317841 · Cited by 6 · see citing works
Energy-efficient sensory data gathering in IoT networks with mobile edge computing
Ren, D., Li, X., & Zhou, Z. (2021) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-021-01154-x · Cited by 6 · see citing works
MDC Enhanced IoT Networks: Network Modeling and Performance Analysis
Sun, H., Ma, Y., Quek, T. Q. S., Wang, X., Guo, K., & Zhang, H. (2022) · IEEE Transactions on Green Communications and Networking · doi:10.1109/tgcn.2022.3222853 · Cited by 5 · see citing works
Comparison between UAV IoT solutions with and without satellite backhaul link
Moheddine, A., Patrone, F., & Marchese, M. (2022) · IEEE Aerospace Conference (AERO) · doi:10.1109/aero53065.2022.9843367 · Cited by 4 · see citing works
Mec2: Mobile Edge Computing enabled Caching Framework for Internet of Vehicles
Zhang, G., Liu, J., & Chang, X. (2021) · International Conference on Big Data Computing and Communications (BigCom) · doi:10.1109/bigcom53800.2021.00039 · Cited by 3 · see citing works
Intelligent Identification over Power Big Data: Opportunities, Solutions, and Challenges
Luo, L., Li, X., Yang, K., Wei, M., Chen, J., Yang, J., & Yao, L. (2022) · Computer Modeling in Engineering & Sciences · doi:10.32604/cmes.2022.021198 · Cited by 4 · see citing works
Feng, C., & Wang, L. (2025) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2025.3571434 · Cited by 2 · see citing works
Online Trajectory Estimation Based on a Network-Wide Cellular Fingerprint Map
Chen, L., Lu, Y., He, Z., & Chen, Y. (2022) · Sensors · doi:10.3390/s22041605 · Cited by 2 · see citing works
Team Recruitment of Collaborative Crowdsensing: A Graph-Based Approach
Liu, H., Li, X., Zhang, C., Chen, X., & Tai, W. (2024) · IEEE Access · doi:10.1109/access.2024.3406519 · Cited by 1 · see citing works
Chenxuan, Z., Fan, P., Bu, S., & Wen, Y. (2026) · AI · doi:10.3390/ai7080324 · Cited by 1 · see citing works
Yu, Z., Wang, J., & Espada, J. P. (2021) · Personal and Ubiquitous Computing · doi:10.1007/s00779-021-01564-x · Cited by 1 · see citing works
Chong, W., Liu, H., Zhang, X., Wang, Z., He, P., Wang, Y., Li, S., Tong, Y., Zhang, J., & Cao, L. (2023) · Advances in Educational Technology and Psychology · doi:10.23977/aetp.2023.070907 · Cited by 1 · see citing works
Kumar, S., Tyagi, A., Agarwal, K., Kumari, S., & Chen, C. (2024) · Security and Privacy · doi:10.1002/spy2.382 · Cited by 1 · see citing works
Development model based on visual image big data applied to art management
Ju, J., Ma, Y., Gong, T., & Er, Z. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e37478 · Cited by 1 · see citing works
Chen, X., Long, J., & Zhang, J. (2022) · Research Square · doi:10.21203/rs.3.rs-1487913/v1
Clustered mobile data collection in WSNs: an energy-delay trade-off
Senturk, I. F. (2021) · TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES · doi:10.3906/elk-2104-25
Big Data Framework for Monitoring Real-Time Vehicular Traffic Flow
Sultan, N. A., & Qasha, R. P. (2023) · International Conference on Engineering, Science and Advanced Technology (ICESAT) · doi:10.1109/icesat58213.2023.10347303
Secured fog-based vehicular crowd-sensing protocol by Modified Attribute based Encryption Model
Umale, B. R., & Sharma, P. (2024) · Intelligent Decision Technologies · doi:10.3233/idt-240439
Wang, H., & Zhang, X. (2025) · IEEE Internet of Things Magazine · doi:10.1109/iotm.001.2400188
Integrated Simulation of Federated Learning for Large Scale Intelligent Transportation Systems
Tangirala, N. T., Sommer, C., & Knoll, A. (2025) · IEEE Vehicular Networking Conference (VNC) · doi:10.1109/vnc64509.2025.11054085
Big Data Privacy in Multidimensional Domains: Models, Issues, Paradigms
Cuzzocrea, A. (2025) · IEEE Annual International Computer Software and Applications Conference (COMPSAC) · doi:10.1109/compsac65507.2025.00030
Optimized Federated Learning and Blockchain‐Based Crowd Sensing for Secure 5G Vehicular Networks
Sona, D. R., Moses, M. L., Raja, M. R., & Perarasi, T. (2025) · International Journal of Communication Systems · doi:10.1002/dac.70212
Zhen, P., Pan, K., Zhang, B., Hu, J., & Guo, D. (2026) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2026.3675683
A Selective Data Upload Approach for Enhancing Spatial Coverage in Vehicular Crowdsensing Systems
Huo, J., Yao, G., Wang, L., Lu, Z., & Zheng, J. (2025) · IEEE International Conference on Computer and Communications (ICCC) · doi:10.1109/iccc68654.2025.11437675
Yang, H., Yang, X., Yang, J., Li, R. K., Ma, N., & Xiao, P. (2026) · IEEE Internet of Things Journal · doi:10.1109/jiot.2026.3695417
Research on Integrated Control Technology and Intelligent Algorithm for Multi-Source Data Fusion
Feng, S., & Surin, E. F. (2026) · Lecture notes in electrical engineering · doi:10.1007/978-981-95-6055-4_42
- Authors
- Ren, Y., Wang, T., Zhang, S., & Zhang, J.
- Affiliations
- Central South University (CN)
- Huaqiao University (CN)
- Hunan University of Science and Technology (CN)
- Corresponding author
- Zhang, Jinhuan
- Venue
- Personal and Ubiquitous Computing
- Published
- 2020-08-18
- Volume
- 27
- Issue
- 3
- Pages
- 563-579
- ISSN
- 1617-4909 (ISSN-L)
- 1617-4917
- OpenAlex
- W3063715646
- Cited by
- 62
- References
- 39
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 8 · 2023: 5 · 2022: 7 · 2021: 20 · 2020: 11
- FWCI
- 9.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Personal and Ubiquitous Computing (publishedVersion)
- Funders
- National Natural Science Foundation of China (61902432, 61772554, 61602398, 61672447)
- Hunan Provincial National Natural Science Foundation of China (2017JJ3316, No.2019JJ50592)
- Independent Exploration and Innovation Project for Graduate Students of Central South University (2019zzts589)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Mobile Crowdsensing and Crowdsourcing
- Physical Sciences › Computer Science › Computer Networks and Communications › Opportunistic and Delay-Tolerant Networks
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Keywords
- vehicular sensor networks, mobile crowdsensing, data collection, data redundancy, simulated annealing, data center selection, quality of service, Internet of Things
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review