Li Wang


Wearable technology, Embedded technology, Automatic tracking algorithm, Wireless communication


Wearable technology is the trend and direction of the current information technology revolution. Through certain artificial intelligence technology to automatically track the target carrying wearable devices, it can effectively collect, organize and analyze, and collect realtime data of target activities. In this paper, a weighted localization algorithm based on simulated annealing is proposed, aiming at the large error of DV-Hop algorithm in estimating average distance per hop and the sensitivity of DV-Hop algorithm to ranging error when using least square method. The improved algorithm reduces the frequency hopping error by introducing the correction value of the average distance error. The simulation algorithm is used to replace the least square method to calculate the coordinates of unknown nodes in traditional DV-Hop(Distance Vector-Hop) positioning. Simulation results show that the algorithm can effectively reduce the positioning error of DV-Hop. In this regard, this paper proposes a positioning algorithm based on the optimization of the average jump distance.The improved algorithm uses multi-communication radius method to communicate and broadcast between nodes, which refines the hops between nodes. Finally, simulated annealing algorithm is used to locate nodes.

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