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  • Open Access

    ARTICLE

    UAV Clustering Scheme for FANETs using Elbow-Hybrid Metaheuristic Techniques

    Kundan Kumar*, Rajeev Arya

    Computer Systems Science and Engineering, Vol.38, No.3, pp. 321-337, 2021, DOI:10.32604/csse.2021.016748 - 19 May 2021

    Abstract Great strides have been made to realistically deploy multiple Unmanned Aerial Vehicles (UAVs) within the commercial domain, which demands a proper coordination and reliable communication among the UAVs. UAVs suffer from limited time of flight. Conventional techniques suffer from high delay, low throughput, and early node death due to aerial topology of UAV networks. To deal with these issues, this paper proposes a UAV parameter vector which considers node energy, channel state information and mobility of UAVs. By intelligently estimating the proposed parameter, the state of UAV can be predicted closely. Accordingly, efficient clustering may… More >

  • Open Access

    ARTICLE

    A Technical Framework for Selection of Autonomous UAV Navigation Technologies and Sensors

    Izzat Al-Darraji1,2, Morched Derbali3, Houssem Jerbi4, Fazal Qudus Khan3, Sadeeq Jan5,*, Dimitris Piromalis6, Georgios Tsaramirsis7

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2771-2790, 2021, DOI:10.32604/cmc.2021.017236 - 13 April 2021

    Abstract The autonomous navigation of an Unmanned Aerial Vehicle (UAV) relies heavily on the navigation sensors. The UAV’s level of autonomy depends upon the various navigation systems, such as state measurement, mapping, and obstacle avoidance. Selecting the correct components is a critical part of the design process. However, this can be a particularly difficult task, especially for novices as there are several technologies and components available on the market, each with their own individual advantages and disadvantages. For example, satellite-based navigation components should be avoided when designing indoor UAVs. Incorporating them in the design brings no… More >

  • Open Access

    ARTICLE

    Design and Validation of a Route Planner for Logistic UAV Swarm

    Meng-Tse Lee1,*, Ying-Chih Lai2, Ming-Lung Chuang1, Bo-Yu Chen1

    Intelligent Automation & Soft Computing, Vol.28, No.1, pp. 227-240, 2021, DOI:10.32604/iasc.2021.015339 - 17 March 2021

    Abstract Unmanned Aerial Vehicles (UAV) are widely used in different fields of aviation today. The efficient delivery of packages by drone may be one of the most promising applications of this technology. In logistic UAV missions, due to the limited capacities of power supplies, such as fuel or batteries, it is almost impossible for one unmanned vehicle to visit multiple wide areas. Thus, multiple unmanned vehicles with well-planned routes become necessary to minimize the unnecessary consumption of time, distance, and energy while carrying out the delivery missions. The aim of the present study was to develop… More >

  • Open Access

    ARTICLE

    Multi-Model Fuzzy Formation Control of UAV Quadrotors

    Abdul-Wahid A. Saif1, Mohammad Ataur-Rahman1, Sami Elferik1, Muhammad F. Mysorewala1, Mujahed Al-Dhaifallah1,*, Fouad Yacef2

    Intelligent Automation & Soft Computing, Vol.27, No.3, pp. 817-834, 2021, DOI:10.32604/iasc.2021.015932 - 01 March 2021

    Abstract In this paper, the formation control problem of a group of unmanned air vehicle (UAV) quadrotors is solved using the Takagi–Sugeno (T–S) multi-model approach to linearize the nonlinear model of UAVs. The nonlinear model sof the quadrotor is linearized first around a set of operating points using Taylor series to get a set of local models. Our approach’s novelty is in considering the difference between the nonlinear model and the linearized ones as disturbance. Then, these linear models are interpolated using the fuzzy T–S approach to approximate the entire nonlinear model. Comparison of the nonlinear… More >

  • Open Access

    ARTICLE

    An Energy-Efficient Mobile-Sink Path-Finding Strategy for UAV WSNs

    Lyk Yin Tan*, Hock Guan Goh, Soung-Yue Liew, Shen Khang Teoh

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3419-3432, 2021, DOI:10.32604/cmc.2021.015402 - 01 March 2021

    Abstract Data collection using a mobile sink in a Wireless Sensor Network (WSN) has received much attention in recent years owing to its potential to reduce the energy consumption of sensor nodes and thus enhancing the lifetime of the WSN. However, a critical issue of this approach is the latency of data to reach the base station. Although many data collection algorithms have been introduced in the literature to reduce delays in data delivery, their performances are affected by the flight trajectory taken by the mobile sink, which might not be optimized yet. This paper proposes… More >

  • Open Access

    ARTICLE

    An Improved iBAT-COOP Protocol for Cooperative Diversity in FANETs

    Shahzad Hameed1, Qurratul-Ain Minhas1, Sheeraz Ahmed2, Shabana Habib4, Mohammad Kamrul Hasan3, Muhammad Islam5, Sheroz Khan5,*

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2527-2546, 2021, DOI:10.32604/cmc.2021.013896 - 05 February 2021

    Abstract Flying ad hoc networks (FANETs) present a challenging environment due to the dynamic and highly mobile nature of the network. Dynamic network topology and uncertain node mobility structure of FANETs do not aim to consider only one path transmission. Several different techniques are adopted to address the issues arising in FANETs, from game theory to clustering to channel estimation and other statistical schemes. These approaches mostly employ traditional concepts for problem solutions. One of the novel approaches that provide simpler solutions to more complex problems is to use biologically inspired schemes. Several Nature-inspired schemes address… More >

  • Open Access

    ARTICLE

    Efficient UAV Communications: Recent Trends and Challenges

    Abdulfattah Noorwali1, Muhammad Awais Javed2, Mohammad Zubair Khan3,*

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 463-476, 2021, DOI:10.32604/cmc.2021.014668 - 12 January 2021

    Abstract Unmanned Ariel Vehicles (UAVs) are flying objects whose trajectory can be remotely controlled. UAVs have lot of potential applications in the areas of wireless communications, internet of things, security, traffic management, monitoring, and smart surveying. By enabling reliable communication between UAVs and ground nodes, emergency notifications can be efficiently and quickly disseminated to a wider area. UAVs can gather data from remote areas, industrial units, and emergency scenarios without human involvement. UAVs can support ubiquitous connectivity, green communications, and intelligent wireless resource management. To efficiently use UAVs for all these applications, important challenges need to… More >

  • Open Access

    ARTICLE

    A Bio-Inspired Routing Optimization in UAV-enabled Internet of Everything

    Masood Ahmad1, Fasee Ullah2,*, Ishtiaq Wahid1, Atif Khan3, M. Irfan Uddin4, Abdullah Alharbi5, Wael Alosaimi5

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 321-336, 2021, DOI:10.32604/cmc.2021.014102 - 12 January 2021

    Abstract Internet of Everything (IoE) indicates a fantastic vision of the future, where everything is connected to the internet, providing intelligent services and facilitating decision making. IoE is the collection of static and moving objects able to coordinate and communicate with each other. The moving objects may consist of ground segments and flying segments. The speed of flying segment e.g., Unmanned Ariel Vehicles (UAVs) may high as compared to ground segment objects. The topology changes occur very frequently due to high speed nature of objects in UAV-enabled IoE (Ue-IoE). The routing maintenance overhead may increase when… More >

  • Open Access

    ARTICLE

    Object Detection and Fuzzy-Based Classification Using UAV Data

    Abdul Qayyum1,*, Iftikhar Ahmad2, Mohsin Iftikhar3, Moona Mazher4

    Intelligent Automation & Soft Computing, Vol.26, No.4, pp. 693-702, 2020, DOI:10.32604/iasc.2020.010103

    Abstract UAV (Unmanned Aerial Vehicle) equipped with remote sensing devices can acquire spatial data with a relevant area of interest. In this paper, we have acquired UAV data for high voltage power poles, urban areas and vegetation/trees near power lines. For object classification, the proposed approach based on the fuzzy classifier is compared with the traditional minimum distance classifier and maximum likelihood classifier on our three defined segments of UAV images. The performance evaluation of all the classifiers was based on the statistics parameters which included the mean, standard deviation and PDF (probability density function) of More >

  • Open Access

    ARTICLE

    Improvement of UAV Based an Evaluation Approach to Mid-High Rise Buildings’ Exterior Walls

    Nai-Hsin Pan1, Ching-Hsiang Tsai2, Kuei-Yen Chen1, Shiaofang Sung3,*

    Structural Durability & Health Monitoring, Vol.14, No.2, pp. 109-125, 2020, DOI:10.32604/sdhm.2020.06489 - 23 June 2020

    Abstract This research will develop a set of assessment techniques and procedures for exterior wall deterioration detection. The proposed method is mainly based on equipped with high-resolution photographic equipment for unmanned aerial vehicle (UAV). To overcome the problems of visual inspection difficulties due to different angles and height, the proposed method provides a safer and more efficient detection way to get the buildings’ exterior status. After using the proposed method to analyze the images taken from UAV, the size of the damaged area can be evaluated more accurately, and the accuracy rate of visual assessment will… More >

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