On-demand UAV base station deployment for wireless service of crowded tourism areas
- 10 February 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in Personal and Ubiquitous Computing
- Vol. 26 (4), 1137-1149
- https://doi.org/10.1007/s00779-020-01515-y
Abstract
With the support of wireless network, tourists in tourism areas could enjoy various tourism information search and smart tourism–related services. However, due to the limited capacity of wireless networks, in peaking seasons, tourism area crowding in local areas could result in emergency and temporary wireless network congestion. While increasing infrastructure investment (e.g., densifying base stations) is desiring for peak seasons, it can be a waste of resource for significantly shrunk tourist arrival in off seasons. In response to the temporary network congestion offloading demand, this paper proposes an on-demand coverage solution based on unmanned aerial vehicle (UAV) base stations. Firstly, taking the air-to-ground channel characteristic into account, we define the effective coverage radius, based on which the optimal altitude of UAV BS is derived. Then, to tackle the inherent challenge of irregular tourist distribution issue in tourism areas, an automatic UAV BS deployment algorithm is designed to determine the minimal number of UAV BSs and their two-dimensional coordinates simultaneously. Simulation results show that the proposed solution could realize efficient UAV BS on-demand deployment.Keywords
Funding Information
- University Philosophy and Social Science Research Project of Jiangsu Province (2016SJD63066)
- Jiangning District Philosophy and Social Science Major Project (16KJB170014)
This publication has 23 references indexed in Scilit:
- Coverage probability of multiple UAVs supported ground networkElectronics Letters, 2017
- Context-based infomobility system for cultural heritage recommendation: Tourist Assistant—TAISPersonal and Ubiquitous Computing, 2016
- Scenic route planning for touristsPersonal and Ubiquitous Computing, 2016
- Efficient Deployment of Multiple Unmanned Aerial Vehicles for Optimal Wireless CoverageIEEE Communications Letters, 2016
- 4G LTE network access system and pricing model for IoT MVNOs: spreading smart tourismMultimedia Tools and Applications, 2016
- Smart tourism: foundations and developmentsElectronic Markets, 2015
- Optimal LAP Altitude for Maximum CoverageIEEE Wireless Communications Letters, 2014
- Using Cellular Automata to Reduce Congestion for Tourist Navigation Systems in Mobile EnvironmentsWireless Personal Communications, 2013
- Short Term Dynamics of Tourist Arrivals: What Do Italian Destinations Have in Common?Published by Springer Science and Business Media LLC ,2011
- Uncertainties in Predicting Tourist Flows Under Scenarios of Climate ChangeClimatic Change, 2006