Research on a movement-based location-update algorithm under 3G network
Kai Chen
Abstract
Kai Chen
Abstract
Excessive user location updates are generated due to users local movement in traditional location update algorithms.This paper analyzed the drawback of traditional movement-based location update algorithm,and proposed a new method to solve this problem.The new method improved the performance of location update algorithms through introducing two new threshold parameters.Extensive simulations based on a three-tier hierarchical mobility database structure were performed and the performance of proposed algorithm was compared with the traditional movement-based algorithm.The simulation results show that the proposed algorithm decreases the number of local update messages significantly and reduces Ping-Pong effect efficiently.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Excessive user location updates are generated due to users local movement in traditional location update algorithms.This paper analyzed the drawback of traditional movement-based location update algorithm,and proposed a new method to solve this problem.The new method improved the performance of location update algorithms through introducing two new threshold parameters.Extensive simulations based on a three-tier hierarchical mobility database structure were performed and the performance of proposed algorithm was compared with the traditional movement-based algorithm.The simulation results show that the proposed algorithm decreases the number of local update messages significantly and reduces Ping-Pong effect efficiently.
Key concepts: Computer science, Algorithm, Movement (music), Data mining, Philosophy, Aesthetics