Abstract
Video surveillance system is the integration of computers, networks, communications, and video CODEC, etc. Because of its distributed architecture, parallel image processing and ease of installation and expansion, it is widely used in many fields such as education, transportation and industry. However, there are some challenges of video surveillance applications in smart cities such as large scale of video events, low quality and big delay of video data transmission, and the loss of video surveillance data integrity. In order to solve the above problems, this paper designs a series of optimization algorithms and scheduling strategies based on Unmanned Aerial Vehicle (UAV) cluster. Firstly, we construct a full device coverage network with UAV cluster in heterogeneous communication environment of smart cities. Secondly, we formulate the scheduling problem of UAV cluster as bi-objective fragile bin packing problem, and design an optimal scheduling algorithm with constant approximation performance ratio. The simulation experimental results fully demonstrate the effectiveness, feasibility and robustness of the proposed solution in terms of system life cycle, video decodable frame rate, the ratio of UAV flight time to system life cycle, throughput and delay.
Highlights
Video surveillance system [1] includes front-end camera, transmission cable, video surveillance platform and its control system
The delay of the proposed algorithm is reduced by at least 150% compared with Unmanned Aerial Vehicle (UAV)-DG and increased by at least 45% compared with UAV-NULL
We show the video surveillance network based on UAV cluster by using the Base Stations (BS) network and accessibility of UAV cluster
Summary
Video surveillance system [1] includes front-end camera, transmission cable, video surveillance platform and its control system. Y. Jin et al.: UAV Cluster-Based Video Surveillance System Optimization in Heterogeneous Communication a large number of intelligent sensors and terminals of the Internet of Things (IoT) need to be deployed in and / or around the city. Jin et al.: UAV Cluster-Based Video Surveillance System Optimization in Heterogeneous Communication a large number of intelligent sensors and terminals of the Internet of Things (IoT) need to be deployed in and / or around the city These video surveillance devices are generally deployed inside severe environment and depopulated zone such that they cannot provide stable and reliable sustainable data communication [12], [13] and video event processing. We proposed a UAV cluster-based video surveillance optimization scheme for heterogeneous communication in smart cities, which can provide reliable, real-time and feasible services for large scale video surveillance application in smart city.
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