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      UAV Based Relay for Wireless Sensor Networks in 5G Systems

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          Abstract

          Relay is one of the most significant issues in smart industrial wireless sensor networks (WSN) due to the low transmitting power of sensors. By relay, the signals of sensors can be concentrated at the relay and further transmitted to the base station for decreasing energy consumption in the system. In the past decades, the relay in WSN is generally one super sensor with large transmitting power. However, the placement of the super sensor is static, which leads to the instability of performance in WSN under the time-varying wireless environment. Fortunately, unmanned aerial vehicles (UAV) can provide an effective leverage to improve the environment-adaptation in WSN compared to the static relay in WSN. In this paper, we employ UAV as the relay in WSN, which can move in three-dimensional space to possess a better position to minimize the system power consumption. We use a simple case study to demonstrate the effectiveness of UAV in WSN. Extended simulations are also given to verify the preferable performance of the UAV based relay in WSN.

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          Most cited references20

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          Millimeter Wave Cellular Wireless Networks: Potentials and Challenges

          Millimeter wave (mmW) frequencies between 30 and 300 GHz are a new frontier for cellular communication that offers the promise of orders of magnitude greater bandwidths combined with further gains via beamforming and spatial multiplexing from multi-element antenna arrays. This paper surveys measurements and capacity studies to assess this technology with a focus on small cell deployments in urban environments. The conclusions are extremely encouraging; measurements in New York City at 28 and 73 GHz demonstrate that, even in an urban canyon environment, significant non-line-of-sight (NLOS) outdoor, street-level coverage is possible up to approximately 200 m from a potential low power micro- or picocell base station. In addition, based on statistical channel models from these measurements, it is shown that mmW systems can offer more than an order of magnitude increase in capacity over current state-of-the-art 4G cellular networks at current cell densities. Cellular systems, however, will need to be significantly redesigned to fully achieve these gains. Specifically, the requirement of highly directional and adaptive transmissions, directional isolation between links and significant possibilities of outage have strong implications on multiple access, channel structure, synchronization and receiver design. To address these challenges, the paper discusses how various technologies including adaptive beamforming, multihop relaying, heterogeneous network architectures and carrier aggregation can be leveraged in the mmW context.
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            Networked UAVs as aerial sensor network for disaster management applications

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              A framework for use of wireless sensor networks in forest fire detection and monitoring

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                25 July 2018
                August 2018
                : 18
                : 8
                : 2413
                Affiliations
                [1 ]The College of Communication Engineering, Chongqing University, Chongqing 400044, China; jianxin@ 123456cqu.edu.cn
                [2 ]The Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada; lzhao@ 123456ee.ryerson.ca
                [3 ]The School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China; zhousu@ 123456ieee.org
                Author notes
                [* ]Correspondence: shufu@ 123456cqu.edu.cn
                Author information
                https://orcid.org/0000-0002-7988-9724
                https://orcid.org/0000-0002-5602-1738
                Article
                sensors-18-02413
                10.3390/s18082413
                6112025
                30044413
                ef3271fd-10d9-4c8a-91aa-6dc7dc898721
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 29 June 2018
                : 21 July 2018
                Categories
                Article

                Biomedical engineering
                wireless sensor networks,unmanned aerial vehicle,relay,power consumption

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