Mobile self-organising network positioning algorithm based on node clustering

Traditional mobile self-organising network (MSON) positioning algorithms cannot correct position node's space and lead to low positioning accuracy. Node clustering is optimised DV-hop algorithm, and applied to node location of MSON. Narrative principle of MSON is completed by building RSSI ranging model. Strength of MSON transmission signal and propagation loss of MSON signal are calculated by combined RSSI technology in three-dimensional MSON model structure. Then, transmission loss is converted into node propagation distance, and node position of MSON is calculated. DV-hop algorithm is used for positioning by distance between nodes and position of anchor point. Positioning accuracy is improved and positioning range is expanded without increasing hardware overhead of mobile ad hoc network space node. Simulation experiment results show that node coverage of DV-hop positioning algorithm is higher than traditional algorithm. Besides, spatial localisation of MSON nodes expands network space node coverage rate, thereby improve the positioning accuracy.