Penerapan Desain Lintasan UAV yang Hemat Energi untuk Deteksi Kebakaran Hutan

Kebakaran hutan merupakan masalah serius yang dapat menyebabkan berbagai kerugian. Teknik pendeteksian kebakaran hutan dini yang andal sangat diperlukan untuk mencegah kebakaran hutan. Wireless sensor network (WSN) yang digunakan didalam hutan harus bisa mengirim data secara realtime, tetapi tantangannya adalah WSN yang didalam hutan memiliki batasan jarak dalam mengirim data karena menggunakan sumber daya yang kecil dan juga bertujuan untuk keawetan dari WSN itu sendiri. Sehingga dibutuhkan Unmanned Aerial Vehicle (UAV) sebagai mobile collector yang memiliki mobilitas yang tinggi. Tetapi UAV sendiri memiliki kekurangan yaitu sumber daya yang digunakan untuk terbang adalah baterai yang memiliki energi yang terbatas. Pada proses penelitian ini, akan diteliti beberapa variabel yang dapat mempengaruhi besar konsumsi energi pada UAV seperti ketinggian UAV, luas hutan, desain lintasan UAV dan jumlah konsumsi baterai dari UAV saat diterbangkan sebagai mobile collector. Data ini akan diukur dan dibandingkan menggunakan software MATLAB. Tujuan dari penelitian ini adalah dapat merancang dan menerapkan desain lintasan UAV yang hemat energi agar penggunaan UAV sebagai mobile collector bisa lebih optimal dan mengetahui berapa besar pengaruh desain lintasan UAV sebagai mobile collector untuk mendeteksi kebakaran hutan

Energy-Efficient 3D Deployment of Aerial Access Points in a UAV Communication System

In this letter, we propose an energy-efficient 3-dimensional placement of multiple aerial access points (AAPs), in the desired area, acting as flying base stations for uplink communication from a set of ground user equipment (UE). The globally optimal energy-efficient vertical position of AAPs is derived analytically by considering the inter-cell interference and AAP energy consumption. The horizontal position of AAPs which maximize the packing density of the AAP coverage area are determined using a novel regular polygon-based AAP placement algorithm. We also determine the maximum number of non-interfering AAPs that can be placed in the desired area. The effect of the AAP energy consumption on the optimal placement and the analytic findings are verified via numerical simulations.Comment: This version of the work has been accepted for publication in the IEEE COMMUNICATIONS LETTERS. 6 pages; 5 figure

Energy Efficient Altitude Optimization of an Aerial Access Point

In this paper, we propose an energy-efficient optimal altitude for an aerial access point (AAP), which acts as a flying base station to serve a set of ground user equipment (UE). Since the ratio of total energy consumed by the aerial vehicle to the communication energy is very large, we include the aerial vehicle's energy consumption in the problem formulation. After considering the energy consumption model of the aerial vehicle, our objective is translated into a non-convex optimization problem of maximizing the global energy efficiency (GEE) of the aerial communication system, subject to altitude and minimum individual data rate constraints. At first, the non-convex fractional objective function is solved by using sequential convex programming (SCP) optimization technique. To compare the result of SCP with the global optimum of the problem, we reformulate the initial problem as a monotonic fractional optimization problem (MFP) and solve it using the polyblock outer approximation (PA) algorithm. Numerical results show that the candidate solution obtained from SCP is the same as the global optimum found using the monotonic fractional programming technique. Furthermore, the impact of the aerial vehicle's energy consumption on the optimal altitude determination is also studied.Comment: This version of the work has been accepted for publication in the IEEE 31st PIMRC 2020 - Workshop on UAV Communications for 5G and Beyond; 7 pages; 5 figure

New energy consumption model for rotary-wing UAV propulsion

Accurate and convenient energy consumption models (ECMs) for rotary-wing unmanned aerial vehicles (UAVs) are important for UAV communication designs. Existing models are complex and inconvenient to use. In this letter, a simple and easy-to-use model with closed-form expression as a function of the initial velocity, acceleration and time duration is derived. Using this model, the UAV flight control parameters, such as polling force and tilt angle, are analyzed in analytical form. Numerical results show the validity and reliability of the proposed model

Comprehensive energy consumption model for unmanned aerial vehicles, based on empirical studies of battery performance

© 2018 IEEE. Unmanned aerial vehicles (UAVs) are fast gaining popularity in a wide variety of areas and are already being used for a range of tasks. Despite their many desirable features, a number of drawbacks hinder the potential of UAV applications. As typical UAVs are powered by on-board batteries, limited battery lifetime is identified as a key limitation in UAV applications. Thus, in order to preserve the available energy, planning UAV missions in an energy efficient manner is of utmost importance. For energy efficient UAV mission planning, it is necessary to predict the energy consumption of specific UAV manoeuvring actions. Accurate energy prediction requires a reliable and realistic energy consumption model. In this paper, we present a consistent and complete energy consumption model for UAVs based on empirical studies of battery usage for various UAV activities. We considered the impact of different flight scenarios and conditions on UAV energy consumption when developing the proposed model. The energy consumption model presented in this paper can be readily used for energy efficient UAV mission planning