1,721,089 research outputs found
Enhanced Deployment Strategy for the 5G Drone-BS Using Artificial Intelligence
Full text linkThe use of drones to perform various task has recently gained a lot of attention. Drones have been used by traders to deliver goods to customers, scientists, and researchers to observe and search for endangered species, and by the military during critical operations. The flexibility of drones in remote controlling makes them ideal candidates to perform critical tasks with minimum time and cost. In this paper, we use drones to setup base stations that provide 5G cellular coverage over a given area in danger. The aim of this paper is to determine the optimum number of drones and their optimum location, such that each point in the selected area is covered with the least cost while considering communication relevant parameters such as data rate, latency, and throughput. The problem is mathematically modeled by forming linear optimization equations. For fast optimized solutions, genetic algorithm (GA) and simulated annealing (SA) algorithms are provisionally employed to solve the problem, and the results are accordingly compared. Using these two meta-heuristic methods, quick and relatively inexpensive feedback can be provided to designers and service providers in 5G next generation networks
Drones Path Planning for Collaborative Data Collection in ITS
No full textUnmanned aerial vehicles (UAVs) are used to physically interact with humans and urgent data collection in a shared workspace. They are flying collaborative robots that can be remotely supervised through a software-controlled flight plans in their embedded systems, working in conjunction with built-in sensors and global positioning system modules. Drones are widely used in safety and critical intelligent transportation systems applications to enhance performance and well-being. UAVs can fly over the road to monitor and observe possible traffic destructions. Path planning (PP) process in UAVs gained a great interest in the literature. That is due to its significant effects at the application-level performance. PP of UAVs in the internet of things era can be achieved via several approaches. As the name implies, static-based PP is dependent on a static set of data collectors to relay and report data. For a particular engineering area, transportation engineering, the mathematical methods, and related algorithms are commonly applied to real cases.No sponso
A Cost-Effective Framework for the Optimal Placement of Drones in Smart Cities
No full textThis chapter presents the existing studies related to the use of unmanned aerial vehicles in the internet of things era. It outlines problem description and the proposed framework. The chapter discusses the performance metrics, results, and findings of the study. It aims to monitor the intelligent transport system with drones by monitoring a specific target or area. The chapter proposes a cost-effective framework to minimize the total number of drones required to monitor the environment while providing the maximum visionary coverage for the target. Optimal drone placement problem and cost-effective target coverage of drones are extensively investigated in several studies. For example, the optimal placement of a group of drones is considered in, with the assumption that a large number of drones are available to cover a group of mobile targets. The chapter deals with a cost minimization problem related to the optimal placement of drones to monitor a set of static or dynamic targets.No sponso
Smart Tourism Destination in Smart Cities Paradigm: A Model for Antalya
No full textSmart tourism destination (STD) concept has taken serious attention as a result of the smart city initiatives. Technology connects all organizations, entities, activities, and elements. Tourism is a multidimensional service system covering different actors and organizations. When a tourism destination gets smarter, the tourists’ needs and demands are expected to be fulfilled more efficiently to create a better tourist experience. This paper aims to examine the content of smart tourism destination and its link with smart city addressing a model for Antalya as a candidate for a smart tourism destination.No sponso
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UAV and fog computing for IoE-based systems: a case study on environment disasters prediction and recovery plans
Full text linkIn the past few years, an exponential upsurge in the development and use of the Internet of Everything (IoE)-based systems has evolved. IoE-based systems bring together the power of embedded smart things (e.g., sensors and actuators), flying-things (e.g., drones), and machine learning and data processing mediums (e.g., fog and edge computing) to create intelligent and powerful networked systems. These systems benefit various aspects of our modern smart cities—ranging from healthcare and smart homes to smart motorways, for example, via making informed decisions. In IoE-based systems, sensors sense the surrounding environment and return data for processing: Unmanned aerial vehicles (UAVs) survey and scan areas that are difficult to reach by human beings (e.g., oceans and mountains), and machine learning algorithms are used to classify data, interpret and learn from collected data over fog and edge computing nodes. In fact, the integration of UAVs, fog computing and machine learning provides fast, cost-effective and safe deployments for many civil and military applications. While fog computing is a new network paradigm of distributed computing nodes at the edge of the network, fog extends the cloud’s capability to the edge to provide better quality of service (QoS), and it is particularly suitable for applications that have strict requirements on latency and reliability. Also, fog computing has the advantage of providing the support of mobility, location awareness, scalability and efficient integration with other systems such as cloud computing. Fog computing and UAV are an integral part of the future information and communication technologies (ICT) that are able to achieve higher functionality, optimised resources utilisation and better management to improve both quality of service (QoS) and quality of experiences (QoE). Such systems that can combine both these technologies are natural disaster prediction systems, which could use fog-based algorithms to predict and warn for upcoming disaster threats, such as floods. The fog computing algorithms use data to make decisions and predictions from both the embedded-sensors, such as environmental sensors and data from flying-things, such as data from UAV that include live images and videos.</p
Network Experience Scheduling and Routing Approach for Big Data Transmission in the Internet of Things
Full text linkThe recent developments in the Internet of Things related technologies have caused a shift towards smart applications such as smart cities, smart homes, smart education systems, e-health, and online applications to run businesses. These, in turn, have introduced significant additional loads to the existing network infrastructures. In addition, these applications use big data and require relatively short response times. In this paper, we are introducing a new scheduling and routing approach to enhance the end user experience, and utilize the network resources by providing improved transmission speed for the big data applications. The approach considers the source and destination requirements in terms of data size, expected delay, link load, and link capacity. Extensive simulations are performed, and the results obtained show the efficiency of our approach against other competitive approaches in terms of in-network delay, network throughput, and dropped packets
An Intelligent IoT Framework for Handling Multidimensional Data Generated by IoT Gadgets
No full textIn recent years, a series of real-life problems are being solved by the leading role of sensors and the Internet. Smart towns, smart health structures, smart construction, smart landscapes, and smart transport are all part of the applications. However, the IoT sensor data involves a variety of problems in real time, including dilution of unhygienic sensor data and extraordinary resource costs. In addition to normal clinical practices, information and communications technology (ICT) that enables Internet of Things for the development of mechanisms to control elderly behavior allows geriatrics to detect changes in behavior related to such conditions early on. The data capture layer is a discreet low-cost infrastructure that sums up physical system heterogeneity, while data processing capacity handles the huge amount and semantics of sensed knowledge easily. Details are accessible with wired or wireless Internet access. These create enormous amounts of fresh, organized, unstructured, real-time, and big data. The IoT data is very comprehensive and nuanced, with information on the circumstances and the environment. The IoT will never remain idle, as thousands of Internet articles become information collectors and produce huge data. Today’s bulk of large data consists of IoT devices and grows exponentially per year. The analysis of such data needs innovative IoT techniques and data processing. IoT requires a specific abundance of facts, however, which continuously flow from various objects. Conventional technology is also critical. IoT data are very detailed and nuanced, capable of delivering in real time information on actual events or the environment. A smart IOT system has been developed in this manuscript to handle multidimensional data generated by IOT sensors. The model suggested showed that the accuracy and speed of data handling are high when compared to traditional models and to current models
Distributing On-Demand Analytics Processing on Heterogeneous Industrial Internet of Things Edge Hardware
Full text linkThe ever increasing competitiveness of the business landscape is leading to a growing interest in data analytics, machine learning, forecasting, model generation, training workloads, visualisation, etc. The Industrial Internet of Things (IIoT) is a key element of the realisation of these and deployment of IIoT introduces heterogeneous hardware into organisations. The computing capability of this hardware is often relatively under utilised. In this contribution, we investigate what performance can be extracted from a heterogeneous system of edge compute nodes combined with some centralised compute capability
Energy Aware Resource Allocation in Multi-Hop Multimedia Routing via the Smart Edge Device
Full text linkEnvironment sustainability, energy efficiency and computational reduction of computation time are recent stressing issues for the information and communication technologies (ICTs). Energy efficiency (EE) in particular is accounted for practical use of device to device (D2D) communications which is optimistic, and alternative architectural network especially for the cases where the infrastructure based communication is not possible. As a consequence, resource allocation for D2D communication plays a key role to address the issues related to battery lifetime and application quality of services (QoS). In this paper, a novel multi-hop routing is proposed to increase the energy efficiency of the D2D communication systems. In order to obtain a plausible solution, a combinatorial optimization is formulated. The purpose of this problem formulation is to achieve improved energy efficiency, throughput rate, resource utility, and packet delivery ratio as well as to reduce the computation cost. Network simulation demonstrates the efficiency of the proposed routing as compared to other existing techniques
Kablosuz sensör ağlarinda yönlü antenlerle enerji̇ veri̇mli̇ yönlendi̇rme
Full text linkWithout measurements, sustainable development effort can not progress in the right direction. Wireless sensor networks are vital for monitoring in real time and making accurate measurements for such an endeavor. However small energy storage in the sensors can become a bottleneck if the wireless sensor network is not optimized at the hardware and software level. Directional antennas are such optimization technologies at the hardware level. They have advantages over the omnidirectional antennas, such as high gain, less interference, longer transmission range, and less power consumption. In wireless sensor networks, most of the energy is consumed for communication. Considering the limited energy in small scale batteries of the sensors, energy efficient (aware) routing, is one of the most important software optimization techniques. The main goal of the technique is to improve the lifetime of the wireless sensor networks. In the light of these observations, it is desirable to do a coupled design of directional antennas with network software, for fully exploiting the advantages offered by directional antenna technology. In this thesis, the possibilities of doing such integrated design are surveyed and improvements are suggested. The design of the proposed microstrip patch antenna array is discussed and the performance characteristics are assessed through simulations. In the benchmarks, the proposed routing method showed improvements in energy usage compared to the existing approaches.Ölçümler olmadan sürdürülebilir kalkınma çabaları doğru yönde ilerleyemez. Bu tür çabalar için, kablosuz sensör ağları, gerçek zamanlı olarak izleme ve kesin ölçümler yapmak için vazgeçilemez unsurdur. Ancak, sensör ağı, donanım ve yazılım düzeylerinde optimize edilmemişse, sensörlerde enerji yetersizliği görülebilinir. Yönlü antenler, donanım düzeyinde uygulanan optimizasyon teknolojilerinden biri olmakla birlikte, çok yönlü antenlerden farklı olarak, yüksek kazanç, daha az parazit, daha uzun iletim mesafesi ve daha az güç tüketimi sağlarlar. Kablosuz sensör ağlarında enerjinin çoğu iletişim için tüketilir. Sensörlerdeki limitli enerjili küçük ölçekli piller göz önüne alındığında, yazılım düzeyindeki önemli metodlardan biri olan enerji verimli (duyarlı) yönlendirme protokolü, kablosuz sensör ağının genel enerji kullanımını optimize etmek ve ömrünü uzatmak için gereklidir. Bu gözlemlerin ışığında, yönlü anten teknolojisinin sunduğu potansiyel avantajlardan tam olarak yararlanmak için, yönlü antenlerin ağ yazılımıyla birlikte entegre tasarımını yapmak arzu edilir. Bu tezde, böyle bir entegre tasarımın yapılma olasılıkları araştırılmış ve iyileştirmeler önerilmiştir. Tezde, küçük şeritli yamalı anten dizisinin tasarımı tartışılmış ve performans karakteristikleri simulasyonlarla ölçülmüştür. Önerilen yönlendirme algoritması, diğer yönlendirme algoritmaları ile karşılaştırıldığında, enerji kullanımında iyileştirmeler göstermiştirM.S. - Master of Scienc
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