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A Novel Software-Defined Drone Network (SDDN)-based Collision Avoidance Strategies for On-Road Traffic Monitoring and Management
Vehicular Communications ( IF 5.8 ) Pub Date : 2020-11-11 , DOI: 10.1016/j.vehcom.2020.100313
Adarsh Kumar , Rajalakshmi Krishnamurthi , Anand Nayyar , Ashish Kr. Luhach , Mohammad S. Khan , Anuraj Singh

In present road traffic system, drone-network based traffic monitoring using the Internet of Vehicles (IoVs) is a promising solution. However, camera-based traffic monitoring does not collect complete data, cover all areas, provide quick medical services, or take vehicle follow-ups in case of an incident. Drone-based system helps to derive important information (such as commuter's behaviour, traffic patterns, vehicle follow-ups) and sends this information to centralised or distributed authorities for making traffic diversions or necessary decisions as per laws. The present approaches fail to meet the requirements such as (i) collision free, (ii) drone navigation, and (iii) less computational and communicational overheads. This work has considered the collision-free drone-based movement strategies for road traffic monitoring using Software Defined Networking (SDN). The SDN controllable drone network result in lesser overhead over drones and provide efficient drone-device management. In simulation, two case studies are simulated using JaamSim simulator. Results show that the zones-based strategy covers a large area in few hours and consume 5kWs to 25kWs energy for 150 drones (Case study 1). Zone-less based strategies (case study-2) show that the energy consumption lies between 5kWs to 18kWs for 150 drones. Further, the use of SDN-based drones controller reduces the overhead over drone-network and increases the area coverage with a minimum of 1.2% and maximum of 2.6%. Simulation (using AnyLogic simulator) shows the 3D view of successful implementation of collision free strategies.



中文翻译:

一种基于软件定义的无人机网络(SDDN)的新型防撞策略,用于道路交通监控和管理

在当前的道路交通系统中,使用车辆互联网(IoV)进行基于无人机网络的交通监控是一种有前途的解决方案。但是,基于摄像头的交通监控不会收集完整的数据,覆盖所有区域,无法提供快速医疗服务或在发生事故时进行车辆跟踪。基于无人机的系统有助于获取重要信息(例如通勤者的行为,交通方式,车辆跟进情况),并将此信息发送给集中式或分布式机构,以根据法律进行交通改道或必要的决策。当前的方法不能满足诸如(i)无冲突,(ii)无人机导航和(iii)更少的计算和通信开销的要求。这项工作已经考虑了使用软件定义网络(SDN)进行基于无碰撞无人机的运动策略进行道路交通监控。SDN可控的无人机网络可减少无人机的开销,并提供有效的无人机设备管理。在仿真中,使用JaamSim模拟器对两个案例研究进行了仿真。结果表明,基于区域的策略可在数小时内覆盖大面积区域,并为150架无人机消耗5kWs至25kWs的能量(案例研究1)。基于无区域的策略(案例研究2)显示,150架无人机的能耗在5kWs至18kWs之间。此外,基于SDN的无人机控制器的使用减少了无人机网络的开销,并以最小1.2%和最大2.6%的速度增加了区域覆盖。

更新日期:2020-11-12
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