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Energy Aware Data Collection with route planning for 6G Enabled UAV Communication

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Computers, Materials & Continua 2022年第4期71卷 825-842页

作者： Mesfer Al Duhayyim Marwa Obayya Fahd N.Al-Wesabi Anwer Mustafa Hilal Mohammed Rizwanullah Majdy M.Eltahir Department of Natural and Applied Sciences College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia Department of Biomedical Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversitySaudi Arabia Department of Computer Science King Khalid UniversityMuhayel AseerSaudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Information Systems King Khalid UniversityMuhayel AseerSaudi Arabia

With technological advancements in 6G and Internet of Things(IoT), the incorporation of Unmanned Aerial Vehicles (UAVs) and cellularnetworks has become a hot research topic. At present, the proficient evolution of 6G networks allows the UAVs to offer cost-effective and timelysolutions for real-time applications such as medicine, tracking, surveillance,etc. Energy efficiency, data collection, and route planning are crucial processesto improve the network communication. These processes are highly difficultowing to high mobility, presence of non-stationary links, dynamic topology,and energy-restricted UAVs. With this motivation, the current research paperpresents a novel Energy Aware Data Collection with Routing planning for6G-enabled UAV communication (EADCRP-6G) technique. The goal of theproposed EADCRP-6G technique is to conduct energy-efficient cluster-baseddata collection and optimal route planning for 6G-enabled UAV ***-6G technique deploys Improved Red Deer Algorithm-based Clustering (IRDAC) technique to elect an optimal set of Cluster Heads (CH) andorganize these clusters. Besides, Artificial Fish Swarm-based route planning(AFSRP) technique is applied to choose an optimum set of routes for UAVcommunication in 6G networks. In order to validated whether the proposedEADCRP-6G technique enhances the performance, a series of simulationswas performed and the outcomes were investigated under different *** experimental results showcase that the proposed model outperformed allother existing models under different evaluation parameters.

关键词： Unmanned aerial vehicle 6G networks artificial intelligence energy efficiency clustering route planning data collection metaheuristics

routeview:an intelligent route planning system for ships sailing through Arctic ice zones based on big Earth data

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International Journal of Digital Earth 2022年第1期15卷 1588-1613页

作者： Adan Wu Tao Che Xin Li Xiaowen Zhu Key Laboratory of Remote Sensing of Gansu Province Heihe Remote Sensing Experimental Research StationNorthwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhouPeople’s Republic of China University of Chinese Academy of Sciences BeijingPeople’s Republic of China CAS Center for Excellence in Tibetan Plateau Earth Sciences Beijing China Institute of Tibetan Plateau Research Chinese Academy of SciencesBeijingPeople’s Republic of China Gansu Forestry Polytechnic TianshuiPeople’s Republic of China

The potential of Arctic routes(ARs)has attracted global attention,and exploiting the Arctic has become an important strategy for many ***,there are still some challenges for ships sailing in Arctic ice zones,including harsh marine environments and the insufficient service capacity of sea ice information service *** better understand the route changes in the Arctic and extract real-time ship navigation routes,we developed an online interactive route planning system(routeView)for ships sailing in the Arctic based on big Earth *** includes two main features:(1)an online calculation interface is provided for optimal routes along the Arctic Northeast Passage(NEP)60 days into the future by utilizing reinforcement learning(RL)based on sea ice and meteorological data,and(2)an online ice-water classification is established based on synthetic aperture radar(SAR)data and deep learning to help users extract the sea ice distribution in real *** work can potentially enhance the safety of shipping navigation along the NEP and improve information extraction methods for ARs.

关键词： Arctic northeast passage information extraction system reinforcement learning U-Net route planning ice-water classification

Weapon configuration, allocation and route planning with time windows for multiple unmanned combat air vehicles

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Journal of Systems Engineering and Electronics 2018年第5期29卷 953-968页

作者： ZHANG Jiaming LIU Zhong SHI Jianmai CHEN Chao Science and Technology on Information Systems Engineering Laboratory National University of Defense Technology

Unmanned combat air vehicles(UCAVs) mission planning is a fairly complicated global optimum problem. Military attack missions often employ a fleet of UCAVs equipped with weapons to attack a set of known targets. A UCAV can carry different weapons to accomplish different combat missions. Choice of different weapons will have different effects on the final combat effectiveness. This work presents a mixed integer programming model for simultaneous weapon configuration and route planning of UCAVs, which solves the problem optimally using the IBM ILOG CPLEX optimizer for simple missions. This paper develops a heuristic algorithm to handle the medium-scale and large-scale problems. The experiments demonstrate the performance of the heuristic algorithm in solving the medium scale and large scale problems. Moreover, we give suggestions on how to select the most appropriate algorithm to solve different scale problems.

关键词： unmanned combat air vehicles(UCAVs) mission planning route planning weapon configuration time windows

Saturation attack based route planning and threat avoidance algorithm for cruise missiles

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Journal of Systems Engineering and Electronics 2011年第6期22卷 948-953页

作者： Guanghui Wang Xuefeng Sun Liping Zhang Chao Lv Department of Command Naval Aeronautical and Astronautical University Yantai 264001 P. R. China Graduate Student Brigade Naval Aeronautical and Astronautical University Yantai 264001 P. R. China

According to the characteristic of cruise missiles,navigation point setting is simplified,and the principle of route planning for saturation attack and a concept of reference route are put *** the help of the shortest-tangent idea in route-planning and the algorithm of back reasoning from targets,a reference route algorithm is built on the shortest range and threat *** a route-flight-time algorithm is built on navigation *** on the conditions of multi-direction saturation attack,a route planning algorithm of multi-direction saturation attack is built on reference route,route-flight-time,and impact *** results show that the algorithm can realize missiles fired in a salvo launch reaching the target simultaneously from different directions while avoiding threat.

关键词： aerospace system engineering control and navigation technology of aero-craft mission planning route planning cruise missile saturation attack threat avoidance.

Integrated route planning and Resource Allocation for Connected Vehicles

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China Communications 2021年第3期18卷 226-239页

作者： Quan Yuan Bo Chen Guiyang Luo Jinglin Li Fangchun Yang State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China State Key Laboratory of High-end Server and Storage Technology Jinan 250101ShandongChina

Intelligent and connected vehicles have leveraged edge computing paradigm to enhance their environment comprehension and behavior planning *** the quantity of intelligent vehicles and the demand for edge computing are increasing rapidly,it becomes critical to efficiently orchestrate the communication and computation resources on edge *** methods usually perform resource allocation in a fairly effective but still reactive manner,which is subject to the capacity of nearby edge *** deal with the contradiction between the spatiotemporally varying demands for edge computing and the fixed edge cloud capacity,we proactively balance the edge computing demands across edge clouds by appropriate route *** this paper,route planning and resource allocation are jointly optimized to enhance intelligent *** propose a multi-scale decentralized optimization method to deal with the curse of *** large-scale optimization,backpressure algorithm is used to conduct route planning and load balancing across edge *** small-scale optimization,game-theoretic multi-agent learning is exploited to perform regional resource *** experimental results show that the proposed algorithm outperforms the baseline algorithms which optimize route planning and resource allocation separately.

关键词： connected vehicles edge computing resource allocation route planning

Multi-objective route planning approach for timely searching tasks of a supervised robot

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Journal of Beijing Institute of Technology 2014年第4期23卷 481-489页

作者：刘鹏熊光明李勇姜岩龚建伟 School of Mechanical Engineering Beijing Institute of Technology

To performance efficient searching for an operator-supervised mobile robot, a multiple objectives route planning approach is proposed considering timeliness and path cost. An improved fitness function for route planning is proposed based on the multi-objective genetic algorithm （MOGA） for multiple objectives traveling salesman problem （MOTSP）. Then, the path between two route nodes is generated based on the heuristic path planning method A ＊. A simplified timeliness function for route nodes is proposed to represent the timeliness of each node. Based on the proposed timeliness function, experiments are conducted using the proposed two-stage planning method. The experimental results show that the proposed MOGA with improved fitness function can perform the searching function well when the timeliness of the searching task needs to be taken into consideration.

关键词： multiple objective optimization multi-objective genetic algorithm supervised robots route planning timeliness

Landing route planning method for micro drones based on hybrid optimization algorithm

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Biomimetic Intelligence & Robotics 2021年第1期1卷 26-30页

作者： Liang Shaoran Song Bifeng Xue Dong School of Aeronautics Northwestern Polytechnical UniversityXi’anChina

Aiming at the obstacle avoidance trajectory planning problem in the landing process of the micro drone,this paper proposes a swarm optimization algorithm that combines the dragonfly optimization method and the differential evolution *** orthogonal learning mechanism is adopted to realize the adaptive switch between the two *** the process of landing route planning,the planning plane is first obtained by making the gliding plane tangent to the *** the planning plane,the projection of obstacle is transformed into multiple unreachable line *** designing an optimization model,the 3D landing route planning problem is transformed into a 2D obstacle avoidance route optimization *** the shortest route as the optimization objective,the penalty factor is introduced into the cost function to avoid the intersection of the landing route and *** the optimization process,through the orthogonal learning of the intermediate iterative results,the hybrid algorithm can adaptively select the next iterative algorithm,so it can give full play to the respective advantages of the two *** optimization results show that,compared with the single optimization algorithm,the hybrid optimization algorithm proposed in this paper can better solve the problem of landing route planning for micro-small UAVs.

关键词： route planning Micro drones Dragonfly optimization Hybrid optimization

route planning of Intelligent Aircraft under Multiple Constraints

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Route Planning of Intelligent Aircraft under Multiple Constr...

route planning for Surveying Major Roads after Natural Disasters

作者： Jinling Liu Yue Wang Lijun Hong Xiaochun Hong School of Statistics and Mathematics Yunnan University of Finance and Economics

In the study of multi-constraint route planning,the commonly used methods include genetic algorithm（GA）,particle swarm optimization（PSO） ***,these algorithms are often too complex in practical applications and often get local optimal solutions when the number of calculations is too *** this paper,we proposed the tangential progressive correction（TPC） model to solve the problem of route planning,it’s a kind of guided model with the characteristics of simple realization,good results and high calculation speed for planning aircraft route *** the end of the paper,we provided the simulation for relevant data.

关键词： route planning TPC model multiple constraints intelligent aircraft

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Route Planning for Surveying Major Roads after Natural Disas...