RSSI localization based on improved sparrow search algorithm optimization
Aiming at the problem that traditional received signal strength indication(RSSI)ranging is interfered by different factors in environment,resulting in low positioning precision,a RSSI localization algorithm based on improved sparrow search algorithm (ISSA )is proposed.Firstly,the RSSI value is optimized and processed by hybrid filtering to eliminate outliers and fluctuations.The RSSI ranging model converts the filtered reliable signal value into distance.Secondly,the basic sparrow search algorithm(SSA)is improved,and the precise coordinates of the unknown nodes are obtained by multiple cyclic iterations.Experimental results show that compared with another ISSA and particle swarm optimization gravitation search algorithm (PSOGSA ),this algorithm has higher localization precision.
wireless sensor networksreceived signal strength indicationhybrid filteringsparrow search algorithmnode localization
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