Traditional DV-Hop localization algorithm has a low accuracy in the positioning stage.This paper proposes a DV-Hop localization algorithm optimized by the improved salp swarm algorithm.Firstly

Cat chaotic map is used to generate chaotic sequences for population initialization.Secondly

the influence of environment and excellent individuals is added to the follower updating

and elite guided mutation is introduced.Finally

the loser-out-tournament is used to remove the poor individuals and generate the better individuals.The experimental results show that the optimized DV-Hop algorithm has higher positioning accuracy and better positioning ability than the traditional DV-Hop algorithm and other comparative algorithms.