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  • Open Access

    ARTICLE

    Privacy Preserving Blockchain with Optimal Deep Learning Model for Smart Cities

    K. Pradeep Mohan Kumar1, Jenifer Mahilraj2, D. Swathi3, R. Rajavarman4, Subhi R. M. Zeebaree5, Rizgar R. Zebari6, Zryan Najat Rashid7, Ahmed Alkhayyat8,*

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5299-5314, 2022, DOI:10.32604/cmc.2022.030825 - 28 July 2022

    Abstract Recently, smart cities have emerged as an effective approach to deliver high-quality services to the people through adaptive optimization of the available resources. Despite the advantages of smart cities, security remains a huge challenge to be overcome. Simultaneously, Intrusion Detection System (IDS) is the most proficient tool to accomplish security in this scenario. Besides, blockchain exhibits significance in promoting smart city designing, due to its effective characteristics like immutability, transparency, and decentralization. In order to address the security problems in smart cities, the current study designs a Privacy Preserving Secure Framework using Blockchain with Optimal… More >

  • Open Access

    ARTICLE

    A Neuro-Fuzzy Approach to Road Traffic Congestion Prediction

    Mohammed Gollapalli1, Atta-ur-Rahman2,*, Dhiaa Musleh2, Nehad Ibrahim2, Muhammad Adnan Khan3, Sagheer Abbas4, Ayesha Atta5, Muhammad Aftab Khan6, Mehwash Farooqui6, Tahir Iqbal7, Mohammed Salih Ahmed6, Mohammed Imran B. Ahmed6, Dakheel Almoqbil8, Majd Nabeel2, Abdullah Omer2

    CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 295-310, 2022, DOI:10.32604/cmc.2022.027925 - 18 May 2022

    Abstract The fast-paced growth of artificial intelligence applications provides unparalleled opportunities to improve the efficiency of various systems. Such as the transportation sector faces many obstacles following the implementation and integration of different vehicular and environmental aspects worldwide. Traffic congestion is among the major issues in this regard which demands serious attention due to the rapid growth in the number of vehicles on the road. To address this overwhelming problem, in this article, a cloud-based intelligent road traffic congestion prediction model is proposed that is empowered with a hybrid Neuro-Fuzzy approach. The aim of the study… More >

  • Open Access

    ARTICLE

    QoS Aware Multicast Routing Protocol for Video Transmission in Smart Cities

    Khaled Mohamad Almustafa1, Taiseer Abdalla Elfadil Eisa2, Amani Abdulrahman Albraikan3, Mesfer Al Duhayyim4,*, Manar Ahmed Hamza5, Abdelwahed Motwakel5, Ishfaq Yaseen5, Muhammad Imran Babar6

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 2483-2499, 2022, DOI:10.32604/cmc.2022.024688 - 29 March 2022

    Abstract In recent years, Software Defined Networking (SDN) has become an important candidate for communication infrastructure in smart cities. It produces a drastic increase in the need for delivery of video services that are of high resolution, multiview, and large-scale in nature. However, this entity gets easily influenced by heterogeneous behaviour of the user's wireless link features that might reduce the quality of video stream for few or all clients. The development of SDN allows the emergence of new possibilities for complicated controlling of video conferences. Besides, multicast routing protocol with multiple constraints in terms of… More >

  • Open Access

    ARTICLE

    Energy-Efficient Static Data Collector-based Scheme in Smart Cities

    Adel D. Rajab*

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 2077-2092, 2022, DOI:10.32604/cmc.2022.025736 - 24 February 2022

    Abstract In the Internet of Things (IoT)-based smart city applications, employing the Data Collectors (DC) as the data brokers between the nodes and Base Station (BS) can be a promising solution to enhance the energy efficiency of energy-constrained IoT sensor nodes. There are several schemes that utilize mobile DCs to collect the data packets from sensor nodes. However, moving DCs along the hundreds of thousands of sensors sparsely distributed across a smart city is considered a design challenge in such schemes. Another concern lies in how these mobile DCs are being powered. Therefore, to overcome these… More >

  • Open Access

    ARTICLE

    High Performance Priority Packets Scheduling Mechanism for Big Data in Smart Cities

    Fawaz Alassery*

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 535-559, 2022, DOI:10.32604/cmc.2022.023558 - 24 February 2022

    Abstract Today, Internet of Things (IoT) is a technology paradigm which convinces many researchers for the purpose of achieving high performance of packets delivery in IoT applications such as smart cities. Interconnecting various physical devices such as sensors or actuators with the Internet may causes different constraints on the network resources such as packets delivery ratio, energy efficiency, end-to-end delays etc. However, traditional scheduling methodologies in large-scale environments such as big data smart cities cannot meet the requirements for high performance network metrics. In big data smart cities applications which need fast packets transmission ratio such… More >

  • Open Access

    ARTICLE

    An Efficient and Reliable Multicasting for Smart Cities

    Faheem Khan1, Muhammad Zahid2, Hüseyin Gürüler3, Ilhan Tarimer3, Taegkeun Whangbo1,*

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 663-678, 2022, DOI:10.32604/cmc.2022.022934 - 24 February 2022

    Abstract The Internet of thing (IoT) is a growing concept for smart cities, and it is compulsory to communicate data between different networks and devices. In the IoT, communication should be rapid with less delay and overhead. For this purpose, flooding is used for reliable data communication in a smart cities concept but at the cost of higher overhead, energy consumption and packet drop etc. This paper aims to increase the efficiency in term of overhead and reliability in term of delay by using multicasting and unicasting instead of flooding during packet forwarding in a smart… More >

  • Open Access

    ARTICLE

    Deep Reinforcement Learning Enabled Smart City Recycling Waste Object Classification

    Mesfer Al Duhayyim1, Taiseer Abdalla Elfadil Eisa2, Fahd N. Al-Wesabi3,4, Abdelzahir Abdelmaboud5, Manar Ahmed Hamza6,*, Abu Sarwar Zamani6, Mohammed Rizwanullah6, Radwa Marzouk7,8

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5699-5715, 2022, DOI:10.32604/cmc.2022.024431 - 14 January 2022

    Abstract The Smart City concept revolves around gathering real time data from citizen, personal vehicle, public transports, building, and other urban infrastructures like power grid and waste disposal system. The understandings obtained from the data can assist municipal authorities handle assets and services effectually. At the same time, the massive increase in environmental pollution and degradation leads to ecological imbalance is a hot research topic. Besides, the progressive development of smart cities over the globe requires the design of intelligent waste management systems to properly categorize the waste depending upon the nature of biodegradability. Few of… More >

  • Open Access

    ARTICLE

    Modeling of Artificial Intelligence Based Traffic Flow Prediction with Weather Conditions

    Mesfer Al Duhayyim1, Amani Abdulrahman Albraikan2, Fahd N. Al-Wesabi3,4, Hiba M. Burbur5, Mohammad Alamgeer6, Anwer Mustafa Hilal7, Manar Ahmed Hamza7,*, Mohammed Rizwanullah7

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3953-3968, 2022, DOI:10.32604/cmc.2022.022692 - 07 December 2021

    Abstract Short-term traffic flow prediction (TFP) is an important area in intelligent transportation system (ITS), which is used to reduce traffic congestion. But the avail of traffic flow data with temporal features and periodic features are susceptible to weather conditions, making TFP a challenging issue. TFP process are significantly influenced by several factors like accident and weather. Particularly, the inclement weather conditions may have an extreme impact on travel time and traffic flow. Since most of the existing TFP techniques do not consider the impact of weather conditions on the TF, it is needed to develop… More >

  • Open Access

    ARTICLE

    Artificial Intelligence Based Sentiment Analysis for Health Crisis Management in Smart Cities

    Anwer Mustafa Hilal1, Badria Sulaiman Alfurhood2, Fahd N. Al-Wesabi3,4, Manar Ahmed Hamza1,*, Mesfer Al Duhayyim5, Huda G. Iskandar4,6

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 143-157, 2022, DOI:10.32604/cmc.2022.021502 - 03 November 2021

    Abstract Smart city promotes the unification of conventional urban infrastructure and information technology (IT) to improve the quality of living and sustainable urban services in the city. To accomplish this, smart cities necessitate collaboration among the public as well as private sectors to install IT platforms to collect and examine massive quantities of data. At the same time, it is essential to design effective artificial intelligence (AI) based tools to handle healthcare crisis situations in smart cities. To offer proficient services to people during healthcare crisis time, the authorities need to look closer towards them. Sentiment… More >

  • Open Access

    ARTICLE

    Improved Sequencing Heuristic DSDV Protocol Using Nomadic Mobility Model for FANETS

    Inam Ullah Khan1, Muhammad Abul Hassan2, Muhammad Fayaz3, Jeonghwan Gwak4,5,6,7,*, Muhammad Adnan Aziz1

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3653-3666, 2022, DOI:10.32604/cmc.2022.020697 - 27 September 2021

    Abstract Most interesting area is the growing demand of flying-IoT mergers with smart cities. However, aerial vehicles, especially unmanned aerial vehicles (UAVs), have limited capabilities for maintaining node energy efficiency. In order to communicate effectively, IoT is a key element for smart cities. While improving network performance, routing protocols can be deployed in flying-IoT to improve latency, packet drop rate, packet delivery, power utilization, and average-end-to-end delay. Furthermore, in literature, proposed techniques are very much complex which cannot be easily implemented in real-world applications. This issue leads to the development of lightweight energy-efficient routing in flying-IoT More >

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