Yinghua Zhang^1,*, Rui Cao¹, Lixin Tian¹, Rong Dai², Zhennan Cao², Jim Feng³

CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 6513-6534, 2022, DOI:10.32604/cmc.2022.029467 - 28 July 2022

Abstract With the continuous maturity of the fifth generation (5G) communications, industrial Internet of Things (IIoT) technology has been widely applied in fields such as smart factories. In smart factories, 5G-based production line monitoring can improve production efficiency and reduce costs, but there are problems with limited monitoring coverage and insufficient wireless spectrum resources, which restricts the application of IIoT in the construction of smart factories. In response to these problems, we propose a hybrid spectrum access mechanism based on Non-Orthogonal Multiple Access (NOMA) cooperative relaying transmission to improve the monitoring coverage and spectrum efficiency. As… More >

Muhammad Faisal^*, Sohail Khalid

CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 4819-4832, 2022, DOI:10.32604/cmc.2022.029049 - 28 July 2022

Abstract The design of single- and quad-band Bandpass Filter (BPF) topology has been presented in this paper for next-generation Internet of Things (IoT) devices. The main topology is constructed using the Split Ring Resonator (SRR), separated by the Anti-Parallel Coupled Line Structure (APCLS). A detailed analysis of APCLS has been presented, which is further used to construct the single- and quad-band BPF. The single-band BPF design consists of SRR loaded with APCLS. The developed single-band BPF displays a dual-mode response with a center frequency of 2.65 GHz and a measured fractional bandwidth of 17.17%. Moreover, a More >

Mohamed H. Mousa^1,2,*, Mohamed K. Hussein²

CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.2, pp. 413-434, 2022, DOI:10.32604/cmes.2022.020639 - 21 July 2022

Abstract Mobile-Edge Computing (MEC) displaces cloud services as closely as possible to the end user. This enables the edge servers to execute the offloaded tasks that are requested by the users, which in turn decreases the energy consumption and the turnaround time delay. However, as a result of a hostile environment or in catastrophic zones with no network, it could be difficult to deploy such edge servers. Unmanned Aerial Vehicles (UAVs) can be employed in such scenarios. The edge servers mounted on these UAVs assist with task offloading. For the majority of IoT applications, the execution… More >

Saied M. Abd El-atty^1,*, Nancy A. Arafa¹, Atef Abouelazm¹, Osama Alfarraj², Konstantinos A. Lizos³, Farid Shawki¹

CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 111-131, 2022, DOI:10.32604/cmes.2022.020793 - 18 July 2022

Abstract Artificial intelligence (AI) has recently been used in nanomedical applications, in which implanted intelligent nanosystems inside the human body were used to diagnose and treat a variety of ailments with the help of the Internet of biological Nano Things (IoBNT). Biological circuit engineering or nanomaterial-based architectures can be used to approach the nanosystem. In nanomedical applications, the blood vascular medium serves as a communication channel, demonstrating a molecular communication system based on flow and diffusion. This paper presents a performance study of the channel capacity for flow-based-diffusive molecular communication nanosystems that takes into account the More >

Chaebeen Nam¹, Sa Math¹, Prohim Tam¹, Seokhoon Kim^1,2,*

CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 4087-4102, 2022, DOI:10.32604/cmc.2022.030575 - 16 June 2022

Abstract Heterogeneous Internet of Things (IoT) applications generate a diversity of novelty applications and services in next-generation networks (NGN), which is essential to guarantee end-to-end (E2E) communication resources for both control plane (CP) and data plane (DP). Likewise, the heterogeneous 5th generation (5G) communication applications, including Mobile Broadband Communications (MBBC), massive Machine-Type Commutation (mMTC), and ultra-reliable low latency communications (URLLC), obligate to perform intelligent Quality-of-Service (QoS) Class Identifier (QCI), while the CP entities will be suffered from the complicated massive HIOT applications. Moreover, the existing management and orchestration (MANO) models are inappropriate for resource utilization and… More >

C. S. S. Anupama¹, Raed Alsini², N. Supriya³, E. Laxmi Lydia⁴, Seifedine Kadry⁵, Sang-Soo Yeo⁶, Yongsung Kim^7,*

CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3219-3233, 2022, DOI:10.32604/cmc.2022.030267 - 16 June 2022

Abstract Internet of Things (IoT) and blockchain receive significant interest owing to their applicability in different application areas such as healthcare, finance, transportation, etc. Medical image security and privacy become a critical part of the healthcare sector where digital images and related patient details are communicated over the public networks. This paper presents a new wind driven optimization algorithm based medical image encryption (WDOA-MIE) technique for blockchain enabled IoT environments. The WDOA-MIE model involves three major processes namely data collection, image encryption, optimal key generation, and data transmission. Initially, the medical images were captured from the… More >

Noman Mazhar^1,2, Rosli Saleh^1,*, Reza Zaba^1,3, Muhammad Zeeshan⁴, M. Muzaffar Hameed¹, Nauman Khan¹

CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3099-3118, 2022, DOI:10.32604/cmc.2022.028285 - 16 June 2022

Abstract The advent of the latest technologies like the Internet of things (IoT) transforms the world from a manual to an automated way of lifestyle. Meanwhile, IoT sector open numerous security challenges. In traditional networks, intrusion detection and prevention systems (IDPS) have been the key player in the market to ensure security. The challenges to the conventional IDPS are implementation cost, computing power, processing delay, and scalability. Further, online machine learning model training has been an issue. All these challenges still question the IoT network security. There has been a lot of research for IoT based… More >

Ahmed Jamal Abdullah Al-Gburi¹, Zahriladha Zakaria^1,*, Merih Palandoken², Imran Mohd Ibrahim¹, A. A. Althuwayb³, Sarosh Ahmad⁴, Samir Salem Al-Bawri⁵

CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 2785-2799, 2022, DOI:10.32604/cmc.2022.028074 - 16 June 2022

Abstract This article introduces a novel, ultrawideband (UWB) planar monopole antenna printed on Roger RT/5880 substrate in a compact size for small Internet of Things (IoT) applications. The total electrical dimensions of the proposed compact UWB antenna are 0.19 λ_o × 0.215 λ_o × 0.0196 λ_o with the overall physical sizes of 15 mm × 17 mm × 1.548 mm at the lower resonance frequency of 3.8 GHz. The planar monopole antenna is fed through the linearly tapered microstrip line on a partially structured ground plane to achieve optimum impedance matching for UWB operation. The proposed compact UWB… More >

A. Chinnappa^*, C. Vijayakumaran

CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 4017-4031, 2022, DOI:10.32604/cmc.2022.027858 - 16 June 2022

Abstract Internet of Things (IoT) allows several low resources and controlled devices to interconnect, calculate processes and make decisions in the communication network. In the heterogeneous environment for IoT devices, several challenging issues such as energy, storage, efficiency, and security. The design of encryption techniques enables the transmission of the data in the IoT environment in a secured way. The proper selection of optimal keys helps to boost the encryption performance. With this motivation, the study presents a signcryption with quantum chaotic krill herd algorithm for secured data transmission (SCQCKH-SDT) in IoT environment. The proposed SCQCKH-SDT… More >

Tariq Ahamed Ahanger^1,*, Abdulaziz Aldaej¹, Mohammed Atiquzzaman², Imdad Ullah¹, Mohammed Yousuf Uddin¹

CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3199-3217, 2022, DOI:10.32604/cmc.2022.027212 - 16 June 2022

Abstract DDoS attacks in the Internet of Things (IoT) technology have increased significantly due to its spread adoption in different industrial domains. The purpose of the current research is to propose a novel technique for detecting botnet attacks in user-oriented IoT environments. Conspicuously, an attack identification technique inspired by Recurrent Neural networks and Bidirectional Long Short Term Memory (BLRNN) is presented using a unique Deep Learning (DL) technique. For text identification and translation of attack data segments into tokenized form, word embedding is employed. The performance analysis of the presented technique is performed in comparison to More >