Title |
Towards minimum code dissemination delay through UAV joint vehicles for smart city |
ID_Doc |
37969 |
Authors |
Zhao, YJ; Wang, T; Zhang, SB; Wang, Y |
Title |
Towards minimum code dissemination delay through UAV joint vehicles for smart city |
Year |
2020 |
Published |
Iet Communications, 14, 15 |
DOI |
10.1049/iet-com.2019.1205 |
Abstract |
In this study, an update code using vehicles joint unmanned aerial vehicle (UC-VU) scheme is proposed to disseminate code for smart sensing devices (SSDs) in the smart city. The innovations of the UC-VU scheme are as follows. (i) The unmanned aerial vehicle (UAV) is adopted to disseminate code at the beginning of code dissemination for the SSDs which are difficult to get code through mobile vehicles. Thus, the average delay required for SSDs to get code can be reduced. (ii) k Smart storage devices are selected as interim code stations and the strategy of selecting interim code stations' location and number for code dissemination is proposed to disseminate code efficiently. This makes mobile vehicles can get code from k + 1 code station for code dissemination which changed the situation where code dissemination is slow due to only one code station disseminates code. (iii) This study also gives the optimisation strategy of the UAV flight trajectory to optimise the flight distance. The key performance indicators such as code dissemination rate compared to previous strategies increases 34.6%, the average dissemination time, the time that all SSDs get the code and the UAV flight trajectory's path decrease by 26.27, 25.30, and 71.67%, respectively. |
Author Keywords |
autonomous aerial vehicles; wireless sensor networks; smart cities; Internet of Things; software defined networking; public administration; mobile computing; minimum code dissemination delay; UAV joint vehicles; smart city; update code; unmanned aerial vehicle; mobile vehicles; interim code stations; smart storage devices; smart sensing devices; UAV flight trajectory; Internet of Things; software-defined networks |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Science Citation Index Expanded (SCI-EXPANDED) |
EID |
WOS:000575223600006 |
WoS Category |
Engineering, Electrical & Electronic |
Research Area |
Engineering |
PDF |
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-com.2019.1205
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