Real-time path planning method based on edge micro-service cooperation
A real-time path planning and micro-service technology, applied in road network navigators, measuring devices, instruments, etc., can solve the problems of edge computing node service requests that rarely consider the availability of resources, time-consuming, and poor real-time path planning. Achieve the effects of poor real-time performance, reduced vehicle travel time, and low edge computing resources
Pending Publication Date: 2021-12-28
SHANGHAI DIANJI UNIV
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[0002] Most of the existing path planning using the ant colony algorithm adopts the method of centralized processing in the remote cloud service center, and the optimal path is determined by the amount of vehicle information stored in the cloud data center. This method takes a long time, and the real-time Not as strong as an edge server node near the vehicle
Most of the existing research on microservice scheduling cooperation only involves relatively fixed wireless networks and the situation where service requests are sent to remote central clouds, and rarely considers the dynamically changing availability of resources and the impact on edge computing nodes due to vehicle movement. service request for
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[0021] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.
[0022] The method of the present invention realizes real-time path planning of automatic driving (unmanned vehicle driving) through microservice cooperation on edge nodes. Among them, microservices are deployed on edge base station nodes to find and calculate optimal paths in real time. The r...
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The invention discloses a real-time path planning method based on edge micro-service cooperation, and the method comprises the steps: S1, dividing edge micro-service nodes of a city region, and carrying out coding according to latitude and longitude addresses; S2, judging the real-time path condition at the moment according to pheromones recorded in an edge base station server, and making real-time path planning based on an improved ant colony algorithm, wherein path planning refers to determining the direction of a region edge service node of the next hop; S3, when an obstacle is encountered, carrying out area target detection and time analysis; and S4, through edge micro-service time analysis feedback, finding a path direction of an edge micro-server node which makes a decision fastest; and carrying out area continuing, returning to the first step for iterative calculation, and finally reaching a destination to finish real-time path planning. According to the method, the optimal driving path of the autonomous vehicle is found by using the improved ant colony algorithm in the edge computing environment, so that the vehicle driving time is shortened, and the occupied edge computing resources can be reduced to the minimum.
Description
technical field [0001] The invention relates to the field of edge computing in smart cities, in particular to a real-time path planning method based on edge microservice collaboration. Background technique [0002] Most of the existing path planning using the ant colony algorithm adopts the method of centralized processing in the remote cloud service center, and the optimal path is determined by the amount of vehicle information stored in the cloud data center. This method takes a long time, and the real-time path planning The reliability is not as strong as the edge server nodes near the driving vehicle. Most of the existing research on microservice scheduling cooperation only involves relatively fixed wireless networks and the situation where service requests are sent to remote central clouds, and rarely considers the dynamically changing availability of resources and the impact on edge computing nodes due to vehicle movement. service request. Contents of the invention ...
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IPC IPC(8): G01C21/34
CPCG01C21/3446
Inventor 王田奎王小刚计春雷
Owner SHANGHAI DIANJI UNIV