An RPL based Optimal Sensors placement in Pipeline Monitoring WSNs
Wadhaj, I., Thomson, C., & Ghaleb, B. (2021)
An RPL based Optimal Sensors placement in Pipeline Monitoring WSNs. In Proceedings of International Conference on Emerging Technologies and Intelligent Systems: ICETIS 2021 (533-546). https://doi.org/10.1007/978-3-030-85990-9_43
Compared to an ordinary sensor network, Linear Sensor Networks (LSNs) has many applications in a number of areas such as surveillance and monitoring of international boundarie...
A Secured and Efficient Communication Scheme for Decentralized Cognitive Radio-Based Internet of Vehicles
Yao, W., Yahya, A., Khan, F., Tan, Z., Rehman, A. U., Chuma, J. M., …Babar, M. (2019)
A Secured and Efficient Communication Scheme for Decentralized Cognitive Radio-Based Internet of Vehicles. IEEE Access, 7, 160889-160900. https://doi.org/10.1109/ACCESS.2019.2945610
The advancements in hardware technologies have driven the evolution of vehicular ad hoc networks into the Internet of Vehicles (IoV). The IoV is a decentralized network of IoT...
Building Scalable Cyber-Physical-Social Networking Infrastructure Using IoT and Low Power Sensors
Lenka, R. K., Rath, A. K., Tan, Z., Sharma, S., Puthal, D., Simha, N. V. R., …Tripathi, S. S. (2018)
Building Scalable Cyber-Physical-Social Networking Infrastructure Using IoT and Low Power Sensors. IEEE Access, 6, 30162-30173. https://doi.org/10.1109/ACCESS.2018.2842760
Wireless Sensors are an important component to develop the Internet of Things (IoT) Sensing infrastructure. There are enormous numbers of sensors connected with each other to ...
Mobility Aware Duty Cycling Algorithm (MADCAL) A Dynamic Communication Threshold for Mobile Sink in Wireless Sensor Network
Thomson, C., Wadhaj, I., Tan, Z., & Al-Dubai, A. (2019)
Mobility Aware Duty Cycling Algorithm (MADCAL) A Dynamic Communication Threshold for Mobile Sink in Wireless Sensor Network. Sensors, 19(22), https://doi.org/10.3390/s19224930
The hotspot issue in wireless sensor networks, with nodes nearest the sink node losing energy fastest and degrading network lifetime, is a well referenced problem. Mobile sink...
A topological insight into restricted Boltzmann machines
Mocanu, D. C., Mocanu, E., Nguyen, P. H., Gibescu, M., & Liotta, A. (2016)
A topological insight into restricted Boltzmann machines. Machine Learning, 104(2-3), 243-270. https://doi.org/10.1007/s10994-016-5570-z
Restricted Boltzmann Machines (RBMs) and models derived from them have been successfully used as basic building blocks in deep artificial neural networks for automatic feature...
Seamless Cryptographic Key Generation via Off-the-Shelf Telecommunication Components for End-to-End Data Encryption
Asif, R., & Buchanan, W. J. (2017)
Seamless Cryptographic Key Generation via Off-the-Shelf Telecommunication Components for End-to-End Data Encryption. In International Conference on Internet of Things (iThings-2017)https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.140
Quantum key distribution (QKD) systems have already attained much attention for providing end-to-end data encryption to the subscribers. However, it is very important that the...
Spatial anomaly detection in sensor networks using neighborhood information
Bosman, H. H., Iacca, G., Tejada, A., Wörtche, H. J., & Liotta, A. (2017)
Spatial anomaly detection in sensor networks using neighborhood information. Information Fusion, 33, 41-56. https://doi.org/10.1016/j.inffus.2016.04.007
The field of wireless sensor networks (WSNs), embedded systems with sensing and networking capability, has now matured after a decade-long research effort and technological ad...
A Review of Predictive Quality of Experience Management in Video Streaming Services
Torres Vega, M., Perra, C., De Turck, F., & Liotta, A. (2018)
A Review of Predictive Quality of Experience Management in Video Streaming Services. IEEE Transactions on Broadcasting, 64(2), 432-445. https://doi.org/10.1109/tbc.2018.2822869
Satisfying the requirements of devices and users of online video streaming services is a challenging task. It requires not only managing the network quality of service but als...
Self-Learning Power Control in Wireless Sensor Networks
Chincoli, M., & Liotta, A. (2018)
Self-Learning Power Control in Wireless Sensor Networks. Sensors, 18(2), 1-29. https://doi.org/10.3390/s18020375
Current trends in interconnecting myriad smart objects to monetize on Internet of Things applications have led to high-density communications in wireless sensor networks. This...
A Novel Cost Optimization Strategy for SDN-Enabled UAV-Assisted Vehicular Computation Offloading
Zhao, L., Yang, K., Tan, Z., Li, X., Sharma, S., & Liu, Z. (2021)
A Novel Cost Optimization Strategy for SDN-Enabled UAV-Assisted Vehicular Computation Offloading. IEEE Transactions on Intelligent Transportation Systems, 22(6), 3664-3674. https://doi.org/10.1109/TITS.2020.3024186
Vehicular computation offloading is a well-received strategy to execute delay-sensitive and/or compute-intensive tasks of legacy vehicles. The response time of vehicular compu...