1,721,053 research outputs found

    IoD swarms collision avoidance via improved particle swarm optimization

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    Drones flights have been investigated widely. In the presence of high density and complex missions, collision avoidance among swarm of drones and with environment obstacles becomes a challenging task and indispensable. This paper aims to enhance the optimality and rapidity of three dimensional IoD path generation by improving the particle swarm optimization (PSO) algorithm. The improvements include using chaos map logic to initialize the population of PSO. Also, adaptive mutation is utilized to balance local and global search. Then, the inactive particles are replaced by new fresh particles to push the solution toward global optimal. Furthermore, Monte Carlo simulation is carried out and the results are compared with slandered PSO and with recent work CIPSO. The results exhibit significant improvement in convergence speed as well as optimal solution which prove the ability of proposed method to generate safety path for IoD formation without collision with terrain obstacle and among drones.The authors would like to acknowledge the support of the department of the computer engineering at King Fahd University of Petroleum and Minerals for this work.Ahmed, G (corresponding author), King Fahd Univ Petr & Minerals, Comp Engn Dept, Dhahran, Saudi Arabia. [email protected]; [email protected]; [email protected]; [email protected]

    EATDDS: Energy-aware middleware for wireless sensor and actuator networks

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    According to Object Management Group organization, Data Distribution Service (DDS) middleware is the leading technology for Industrial Internet of Things (lIoT). Therefore, using DDS-based middleware for Wireless Sensor/Actuator Networks (WSAN) will extremely ease the development and integration of WSAN applications into IloT, which has an effective impact on improving the productivity and saving the cost. However, applying such technology over WSAN significantly affects the energy consumption. In this work, an energy-aware middleware for WSAN is developed based on DDS standard, which is called EATDDS. Furthermore, developing this middleware leads to a major enhancement into TOSSIM simulator; in which an Online Energy Model (OEM) is developed to make TOSSIM capable of developing and testing energy-aware protocols. The model is validated by comparing it against POWERTOSSIM. Our results show that EATDDS is efficient and can be accommodated with limited system resources. (C) 2019 Elsevier B.V. All rights reserved.The authors would like to thank King Fand University of Petroleum and Minerals, Saudi Arabia for the support for this work

    3D simulation model for IoD-to-vehicles communication in IoD-assisted VANET

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    Vehicle ad hoc networks (VANETs) have gradually emerged to enhance transportation information, entertainment, safety, and other services. However, such infrastructures have certain limitations, causing intermittent network disconnection. Further, in urban areas, terrain heights act as obstacles and hinder or attenuate transmitted signals. In this study, we propose a dynamic 3D internet of drones collaborative communication approach for efficient VANET-assistance (3DIoDAV) by integrating the IoD network and VANET to support terrestrial communication. We model IoD locations as an optimization problem to optimize the IoD nodes in three-dimensional terrain. Improved particle swarm optimization is used to optimally deploy IoD nodes in 3D terrain for minimizing the number of isolated vehicles. The proposed approach considers the terrain profile influence on communication. Therefore, we propose a 3D propagation model for efficient IoD-to-vehicle (IoD2V) communication in 3D space. Experiments are performed based on the received signal from ground vehicles to examine the performance of the proposed model and the 3DIoDAV approach. Simulation results show different behaviors of IoD nodes in two-dimensional (2D) and 3D scenarios. Comparison with 2D VANET-assisted and IoDAV approaches demonstrates the proposed 3DIoDAV approach's ability to detect terrain obstacles, which guarantees the dispatching of IoD nodes into the most appropriate locations in 3D space, thereby minimizing the impact of terrain obstacles on communication.The authors declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by (the interdisciplinary center of smart mobility and logistics at King Fahd University of Petroleum and Minerals) [Grant number (INML2033)]. This study was also supported by the Special Research Fund (BOF) number BOF23KV17. The authors acknowledge the support project number INML2104 under the interdisciplinary center of smart mobility and logistics and the computer engineering department at King Fahd University of Petroleum and Minerals for this study

    Dataset for Flexible 2.4 GHz Node for Body Area Networks with a Compact High-Gain Planar Antenna

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    Dataset for the Paper titled &quot;Flexible 2.4 GHz Node for Body Area Networks with a Compact High-Gain Planar Antenna&quot;, in the IEEE Antennas and Wireless Propagation Letters. Also related to: Wagih, M., Wei, Y., Yong, S., &amp; Beeby, S. (2018). Connecting and powering flexible IoT, an insole case study. Poster session presented at Arm Research Summit 2018, Cambridge, United Kingdom.</span

    Energy-Efficient UAVs Coverage Path Planning Approach

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    Unmanned aerial vehicles (UAVs), commonly known as drones, have drawn significant consideration thanks to their agility, mobility, and flexibility features. They play a crucial role in modern reconnaissance, inspection, intelligence, and surveillance missions. Coverage path planning (CPP) which is one of the crucial aspects that determines an intelligent system's quality seeks an optimal trajectory to fully cover the region of interest (ROI). However, the flight time of the UAV is limited due to a battery limitation and may not cover the whole region, especially in large region. Therefore, energy consumption is one of the most challenging issues that need to be optimized. In this paper, we propose an energy-efficient coverage path planning algorithm to solve the CPP problem. The objective is to generate a collision-free coverage path that minimizes the overall energy consumption and guarantees covering the whole region. To do so, the flight path is optimized and the number of turns is reduced to minimize the energy consumption. The proposed approach first decomposes the ROI into a set of cells depending on a UAV camera footprint. Then, the coverage path planning problem is formulated, where the exact solution is determined using the CPLEX solver. For small-scale problems, the CPLEX shows a better solution in a reasonable time. However, the CPLEX solver fails to generate the solution within a reasonable time for large-scale problems. Thus, to solve the model for large-scale problems, simulated annealing for CPP is developed. The results show that heuristic approaches yield a better solution for large-scale problems within a much shorter execution time than the CPLEX solver. Finally, we compare the simulated annealing against the greedy algorithm. The results show that simulated annealing outperforms the greedy algorithm in generating better solution quality.This research was funded by Project Number INML2104 under the InterdisciPlinary Center of Smart Mobility and Logistics, KFUPM. The authors would like to acknowledge the support of the Interdisciplinary Center of Smart Mobility and Logistics, and the Department of Computer Engineering at King Fahd University of Petroleum and Minerals for the support of this research

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Virtual Supply Chain Model -- Validation Dataset

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    This dataset includes the data records used to validate the developed virtual supply chain model. The first column represents the time stamp (day), and the second represents the output rate
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