A roadside unit non-full coverage optimal deployment method based on a simulated annealing particle swarm algorithm
A technology of particle swarm algorithm and simulated annealing, which is applied to services based on specific environments, electrical components, vehicle parts, etc., can solve the problem of expensive unit prices, reduce the number, reduce deployment costs, and improve efficiency
Active Publication Date: 2019-06-07
NANJING UNIV
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In the market, the purchase price of RSU will be very expensive, and the connectivity performance of the road network will not increase without limit with the increase of the number of RSU deployment. It is very challenging to achieve the optimal coverage of the road by the RSU of
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[0024]This method can realize the RSU optimal deployment method based on non-full coverage when the vehicle positioning meets the application requirements. It is assumed that the system in the road has pre-deployed roadside node units in the center of the lane or in the isolation zone, and these roadside units The collective communication distance can cover the entire width of the road. For vehicles, the location information of these roadside units is known, and it is assumed that the positioning error of the vehicle when driving in the coverage area is a small fixed value. When the target vehicle is driving in the non-coverage area, it relies on its own inertial navigation module to realize the positioning function, and deduces the cumulative positioning error in the entire non-coverage area according to the cumulative error based on the distance interval; the non-coverage area is evaluated by the geometric precision factor Inner positioning error performance, from which the o...
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The invention discloses a roadside unit (RSU) non-full coverage optimization deployment method based on a simulated annealing particle swarm algorithm. non-comprehensive coverage of the whole road isrealized by deploying roadside units of which the communication radiuses are greater than the width of the road surface at equal intervals; when the target vehicle runs in the non-coverage area, a positioning function is realized by means of an inertial navigation module of the target vehicle, and an accumulative positioning error in the whole non-coverage area is derived according to an accumulative error based on a distance interval; The positioning error performance in the non-coverage area is evaluated through a geometric accuracy factor GDOP, so that an objective function of the GDOP in the whole non-coverage area is derived, and then a fitness value of the positioning error of the whole road system is given based on a simulated annealing particle swarm algorithm to judge the deployment performance; Roadside units with the communication radius larger than the width of a road surface are arranged on the whole road surface at equal intervals and located in the center of a lane, andnon-comprehensive coverage is achieved.
Description
technical field [0001] The invention proposes a roadside unit non-full coverage optimal deployment method based on a simulated annealing particle swarm algorithm, which is suitable for the non-full coverage optimal deployment of medium-scale roadside units (Roadside Unit, RSU), and belongs to the technical field of wireless communication. Background technique [0002] In the vehicle ad hoc network, the driving client can establish a network connection through a variety of communication methods, such as vehicle-to-vehicle communication (Vehicle to Vehicle, V2V), vehicle-to-infrastructure communication (Vehicle to Infrastructure, V2I), etc., to achieve corresponding application services. The purpose of these applications is to improve the transportation efficiency of the entire transportation system and meet the needs of users for travel convenience and safety. The participation of RSU is required in the communication mode of vehicle-road coordination, and it is closely relat...
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IPC IPC(8): H04W4/40H04W16/18H04W64/00H04W84/18
Inventor 施毅张善杰张瑞沈连丰晏善成苏欣
Owner NANJING UNIV