Anil Kumar Gulivindala¹, M. V. A. Raju Bahubalendruni¹, R. Chandrasekar^1,2, Ejaz Ahmed², Mustufa Haider Abidi^3,*, Abdulrahman Al-Ahmari⁴

CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2531-2548, 2021, DOI:10.32604/cmc.2021.018014

Abstract The evolution of Industry 4.0 made it essential to adopt the Internet of Things (IoT) and Cloud Computing (CC) technologies to perform activities in the new age of manufacturing. These technologies enable collecting, storing, and retrieving essential information from the manufacturing stage. Data collected at sites are shared with others where execution automatedly occurs. The obtained information must be validated at manufacturing to avoid undesirable data losses during the de-manufacturing process. However, information sharing from the assembly level at the manufacturing stage to disassembly at the product end-of-life state is a major concern. The current research validates the information optimally… More >

Faisal Mehmood¹, Shabir Ahmad^2,3, Israr Ullah¹, Faisal Jamil¹, DoHyeun Kim^1,*

CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2231-2244, 2021, DOI:10.32604/cmc.2021.017528

Abstract The data being generated by the Internet of Things needs to be stored, monitored, and analyzed for maximum IoT resource utilization. Software Defined Networking has been extensively utilized to address issues such as heterogeneity and scalability. However, for small-scale IoT application, sometimes it is considered an inefficient approach. This paper proposes an alternate lightweight mechanism to the design and implementation of a dynamic virtual network based on user requirements. The key idea is to provide users a virtual interface that enables them to reconfigure the communication flow between the sensors and actuators at runtime. The throughput of the communication flow… More >

Cheng Gong^1,2, Xinzhu Yang¹, Wei Huangfu^3,4,*, Qinghua Lu⁵

CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2445-2457, 2021, DOI:10.32604/cmc.2021.016713

Abstract Communication opportunities among vehicles are important for data transmission over the Internet of Vehicles (IoV). Mixture models are appropriate to describe complex spatial-temporal data. By calculating the expectation of hidden variables in vehicle communication, Expectation Maximization (EM) algorithm solves the maximum likelihood estimation of parameters, and then obtains the mixture model of vehicle communication opportunities. However, the EM algorithm requires multiple iterations and each iteration needs to process all the data. Thus its computational complexity is high. A parameter estimation algorithm with low computational complexity based on Bin Count (BC) and Differential Evolution (DE) (PEBCDE) is proposed. It overcomes the… More >

Yuzhen Liu^1,3, Xiaoliang Wang^1,*, Xinghui She¹, Ming Yi¹, Yuelong Li¹, Frank Jiang²

CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2261-2276, 2021, DOI:10.32604/cmc.2021.015501

Abstract An intelligent mosquito net employing deep learning has been one of the hotspots in the field of Internet of Things as it can reduce significantly the spread of pathogens carried by mosquitoes, and help people live well in mosquito-infested areas. In this study, we propose an intelligent mosquito net that can produce and transmit data through the Internet of Medical Things. In our method, decision-making is controlled by a deep learning model, and the proposed method uses infrared sensors and an array of pressure sensors to collect data. Moreover the ZigBee protocol is used to transmit the pressure map which… More >

Benjamin Kwapong Osibo¹, Chengbo Zhang¹, Changsen Xia¹, Guanzhe Zhao², Zilong Jin^1,3,*

Journal on Internet of Things, Vol.3, No.2, pp. 77-86, 2021, DOI:10.32604/jiot.2021.017943

Abstract Modern vehicles are equipped with sensors, communication, and computation units that make them capable of providing monitoring services and analysis of real-time traffic information to improve road safety. The main aim of communication in vehicular networks is to achieve an autonomous driving environment that is accident-free alongside increasing road use quality. However, the demanding specifications such as high data rate, low latency, and high reliability in vehicular networks make 5G an emerging solution for addressing the current vehicular network challenges. In the 5G IoV environment, various technologies and models are deployed, making the environment open to attacks such as Sybil,… More >

Xiaoliang Lin^1,*, Junxiao Shi¹, Yanbo Wang¹, Chenyang Liu¹, Bin Lu¹, Siwen Xu²

Intelligent Automation & Soft Computing, Vol.29, No.3, pp. 915-926, 2021, DOI:10.32604/iasc.2021.018513

Abstract Internet of Vehicles (IoV) is a popular application scenario that combines edge computing and the Internet of Things. Among them, service migration caused by IoV application mobility is a research hotspot in this field. This paper studies the migration strategy of container applications based on edge computing in the IoV business scenario. In order to solve the difficulty in selecting the target server of the application to be migrated in the crossroads scenario, this paper converts the migration decision to the shortest path problem based on dynamic programming, and obtains the best migration choice at the current time by finding… More >

Noor Shakir Mahmood¹, Ahmed Ali Ajmi¹, Shamsul Sarip^2,*, Khairur Rijal Jamaludin², Hazilah Mad Kaidi², Hayati Abdul Talib²

CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 895-911, 2021, DOI:10.32604/cmc.2021.018012

Abstract The COVID-19 pandemic has directly impacted the electric power industry; the energy sector has experienced huge losses in electricity production. These losses have also affected the reliability of communication and employees’ performance, hence destabilizing the electric power system. This article aims at achieving two objectives. First, analyzing the impact of the COVID-19 pandemic on the communication of performance (human error and human factors) and energy management in electricity production. Second, to develop a conceptual framework model to alleviate effects of the pandemic on the power sector and then improve energy management and human performance. This paper involves investigating the influence… More >

Shabir Ahmad¹, Jehad Ali², Faisal Jamil³, Taeg Keun Whangbo¹, DoHyeun Kim^3,*

CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 1271-1288, 2021, DOI:10.32604/cmc.2021.017773

Abstract Smart cities have different contradicting goals having no apparent solution. The selection of the appropriate solution, which is considered the best compromise among the candidates, is known as complex problem-solving. Smart city administrators face different problems of complex nature, such as optimal energy trading in microgrids and optimal comfort index in smart homes, to mention a few. This paper proposes a novel architecture to offer complex problem solutions as a service (CPSaaS) based on predictive model optimization and optimal task orchestration to offer solutions to different problems in a smart city. Predictive model optimization uses a machine learning module and… More >

Sankar Sennan¹, Somula Ramasubbareddy², Anand Nayyar^3,4, Yunyoung Nam^5,*, Mohamed Abouhawwash^6,7

CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 351-371, 2021, DOI:10.32604/cmc.2021.017360

Abstract Energy conservation is a significant task in the Internet of Things (IoT) because IoT involves highly resource-constrained devices. Clustering is an effective technique for saving energy by reducing duplicate data. In a clustering protocol, the selection of a cluster head (CH) plays a key role in prolonging the lifetime of a network. However, most cluster-based protocols, including routing protocols for low-power and lossy networks (RPLs), have used fuzzy logic and probabilistic approaches to select the CH node. Consequently, early battery depletion is produced near the sink. To overcome this issue, a lion optimization algorithm (LOA) for selecting CH in RPL… More >

Yinhe Bu¹, Xingping Zhang^1,2,3,*

Energy Engineering, Vol.118, No.4, pp. 1095-1109, 2021, DOI:10.32604/EE.2021.015893

Abstract With the explosive growth of variable renewable energy, the balance between the supply and demand of the power grid is faced with new challenges. Based on the development experience from typical countries and the state quo in China, this paper further analyzes the system architecture and development trend of demand response under the background of Energy Internet. Five dimensions are considered: Energy Internet platform, demand response application scenarios, system architecture, information technology system construction, and demand response development trend. The results show that the application of the Energy Internet platform can effectively solve the problems of data acquisition and processing,… More >