References of "Wireless Communications and Mobile Computing"
     in
Bookmark and Share    
Full Text
Peer Reviewed
See detailDriver’s Face Pose Estimation Using Fine-Grained Wi-Fi Signals for Next-Generation Internet of Vehicles
Akhtar, Zain ul Abidin; Rassol, Hafiz Faiz; Asif, Muhammad et al

in Wireless Communications and Mobile Computing (2022), 2022

Driver’s behavior and gesture recognition are most significant in the emerging next-generation vehicular technology. Driver’s face may provide important cues about his/her attention and fatigue behavior ... [more ▼]

Driver’s behavior and gesture recognition are most significant in the emerging next-generation vehicular technology. Driver’s face may provide important cues about his/her attention and fatigue behavior. Therefore, driver’s face pose is one of the key indicators to be considered for automatic driver monitoring system in next-generation Internet of Vehicles (IoV) technology. Driver behavior monitoring is most significant in order to reduce road accidents. This paper aims to address the problem of driver’s attentiveness monitoring using face pose estimation in a nonintrusive manner. The proposed system is based on wireless sensing, leveraging channel state information (CSI) of WiFi signals. In this paper, we present a novel classification algorithm that is based on the combination of support vector machine (SVM) and K nearest neighbor (KNN) to enhance the classification accuracy. Experimental results demonstrate that the proposed device-free wireless implementation can localize a driver’s face very accurately with an average recognition rate of 91:8%. [less ▲]

Full Text
Peer Reviewed
See detailA Cost-Effective Identity-Based Signature Scheme for Vehicular Ad Hoc Network Using Hyperelliptic Curve Cryptography
Iqbal, Asad; Ullah, Insaf; AlSanad, Abeer Abdulaziz et al

in Wireless Communications and Mobile Computing (2022)

A Vehicular Ad Hoc Network (VANET) is a subset of the Mobile Ad Hoc Network (MANET) that allows vehicles to communicate with each other and with roadside stations to offer efficient and safe ... [more ▼]

A Vehicular Ad Hoc Network (VANET) is a subset of the Mobile Ad Hoc Network (MANET) that allows vehicles to communicate with each other and with roadside stations to offer efficient and safe transportation. Furthermore, when VANET is used in connection with the Internet of Things (IoT) devices and sensors, it can help with traffic management and road safety by allowing vehicles to interact with one another at any time and from any location. Since VANET’s event-driven communications are carried out via an open wireless channel, there are significant security concerns. In this paper, we use Hyperelliptic Curve Cryptography (HECC) to offer a cost-effective identity-based signature for secure communication over VANET. The proposed scheme does not need certificate management, and we found that it is more secure against a variety of cryptographic threats after conducting a thorough security analysis. In addition, comparisons of communication and computational costs are made, demonstrating that the proposed scheme is more efficient in both respects than existing schemes. [less ▲]

Full Text
Peer Reviewed
See detailDiagnosis of Diabetic Retinopathy through Retinal Fundus Images and 3D Convolutional Neural Networks with Limited Number of Samples
Tufail, Ahsan Bin; Ullah, Inam; Khan, Wali Ullah UL et al

in Wireless Communications and Mobile Computing (2021)

Diabetic retinopathy (DR) is a worldwide problem associated with the human retina. It leads to minor and major blindness and is more prevalent among adults. Automated screening saves time of medical care ... [more ▼]

Diabetic retinopathy (DR) is a worldwide problem associated with the human retina. It leads to minor and major blindness and is more prevalent among adults. Automated screening saves time of medical care specialists. In this work, we have used different deep learning (DL) based 3D convolutional neural network (3D-CNN) architectures for binary and multiclass (5 classes) classification of DR. We have considered mild, moderate, no, proliferate, and severe DR categories. We have deployed two artificial data augmentation/enhancement methods: random weak Gaussian blurring and random shift along with their combination to accomplish these tasks in the spatial domain. In the binary classification case, we have found the performance of 3D-CNN architecture trained by deploying combined augmentation methods to be the best, while in the multiclass case, the performance of model trained without augmentation is the best. It is observed that the DL algorithms working with large volumes of data may achieve better performances as compared to the methods working with small volumes of data. [less ▲]

Full Text
Peer Reviewed
See detailReduced-Complexity LDPC Decoding for Next-Generation IoT Networks
Asif, Muhammad; Khan, Wali Ullah UL; Afzal, H. M. Rehman et al

in Wireless Communications and Mobile Computing (2021)

Low-density parity-check (LDPC) codes have become the focal choice for next-generation Internet of things (IoT) networks. This correspondence proposes an efficient decoding algorithm, dual min-sum (DMS ... [more ▼]

Low-density parity-check (LDPC) codes have become the focal choice for next-generation Internet of things (IoT) networks. This correspondence proposes an efficient decoding algorithm, dual min-sum (DMS), to estimate the first two minima from a set of variable nodes for check-node update (CNU) operation of min-sum (MS) LDPC decoder. The proposed architecture entirely eliminates the large-sized multiplexing system of sorting-based architecture which results in a prominent decrement in hardware complexity and critical delay. Specifically, the DMS architecture eliminates a large number of comparators and multiplexors while keeping the critical delay equal to the most delay-efficient tree-based architecture. Based on experimental results, if the number of inputs is equal to 64, the proposed architecture saves 69%, 68%, and 52% area over the sorting-based, the tree-based, and the low-complexity tree-based architectures, respectively. Furthermore, the simulation results show that the proposed approach provides an excellent error-correction performance in terms of bit error rate (BER) and block error rate (BLER) over an additive white Gaussian noise (AWGN) channel. [less ▲]