Unmanned Aerial Vehicles(UAVs)provide a reliable and energyefficient solution for data collection from the Narrowband Internet of Things(NB-IoT)devices.However,the UAV’s deployment optimization,including locations of...Unmanned Aerial Vehicles(UAVs)provide a reliable and energyefficient solution for data collection from the Narrowband Internet of Things(NB-IoT)devices.However,the UAV’s deployment optimization,including locations of the UAV’s stop points,is a necessity to minimize the energy consumption of the UAV and the NB-IoT devices and also to conduct the data collection efficiently.In this regard,this paper proposes GainingSharing Knowledge(GSK)algorithm for optimizing the UAV’s deployment.In GSK,the number of UAV’s stop points in the three-dimensional space is encapsulated into a single individual with a fixed length representing an entire deployment.The superiority of using GSK in the tackled problem is verified by simulation in seven scenarios.It provides significant results in all seven scenarios compared with other four optimization algorithms used before with the same problem.Besides,the NB-IoT is proposed as the wireless communication technology between the UAV and IoT devices.展开更多
This paper presents a radio optical network simulation tool(RONST)for modeling optical-wireless systems.For a typical optical and electrical chain environment,performance should be optimized concurrently before system...This paper presents a radio optical network simulation tool(RONST)for modeling optical-wireless systems.For a typical optical and electrical chain environment,performance should be optimized concurrently before system implementation.As a result,simulating such systems turns out to be a multidisciplinary problem.The governing equations are incompatible with co-simulation in the traditional environments of existing software(SW)packages.The ultra-wideband(UWB)technology is an ideal candidate for providing high-speed short-range access for wireless services.The limited wireless reach of this technology is a significant limitation.A feasible solution to the problem of extending UWB signals is to transmit these signals to endusers via optical fibers.This concept implies the need for the establishment of a dependable environment for studying such systems.Therefore,the essential novelty of the proposed SW is that it provides designers,engineers,and researchers with a dependable simulation framework that can accurately and efficiently predict and/or optimize the behavior of such systems in a single optical-electronic simulation package.Furthermore,it is supported by a strong mathematical foundation with integrated algorithms to achieve broad flexibility and low computational cost.To validate the proposed tool,RONST was deployed on an ultra-wideband over fiber(UWBoF)system.The bit error rate(BER)has been calculated over a UWBoF system,and there is good agreement between the experimental and simulated results.展开更多
文摘Unmanned Aerial Vehicles(UAVs)provide a reliable and energyefficient solution for data collection from the Narrowband Internet of Things(NB-IoT)devices.However,the UAV’s deployment optimization,including locations of the UAV’s stop points,is a necessity to minimize the energy consumption of the UAV and the NB-IoT devices and also to conduct the data collection efficiently.In this regard,this paper proposes GainingSharing Knowledge(GSK)algorithm for optimizing the UAV’s deployment.In GSK,the number of UAV’s stop points in the three-dimensional space is encapsulated into a single individual with a fixed length representing an entire deployment.The superiority of using GSK in the tackled problem is verified by simulation in seven scenarios.It provides significant results in all seven scenarios compared with other four optimization algorithms used before with the same problem.Besides,the NB-IoT is proposed as the wireless communication technology between the UAV and IoT devices.
文摘This paper presents a radio optical network simulation tool(RONST)for modeling optical-wireless systems.For a typical optical and electrical chain environment,performance should be optimized concurrently before system implementation.As a result,simulating such systems turns out to be a multidisciplinary problem.The governing equations are incompatible with co-simulation in the traditional environments of existing software(SW)packages.The ultra-wideband(UWB)technology is an ideal candidate for providing high-speed short-range access for wireless services.The limited wireless reach of this technology is a significant limitation.A feasible solution to the problem of extending UWB signals is to transmit these signals to endusers via optical fibers.This concept implies the need for the establishment of a dependable environment for studying such systems.Therefore,the essential novelty of the proposed SW is that it provides designers,engineers,and researchers with a dependable simulation framework that can accurately and efficiently predict and/or optimize the behavior of such systems in a single optical-electronic simulation package.Furthermore,it is supported by a strong mathematical foundation with integrated algorithms to achieve broad flexibility and low computational cost.To validate the proposed tool,RONST was deployed on an ultra-wideband over fiber(UWBoF)system.The bit error rate(BER)has been calculated over a UWBoF system,and there is good agreement between the experimental and simulated results.
