Abstract Several Wireless Fidelity (WiFi) fingerprint datasets based on Received Signal Strength (RSS) have been shared for indoor localization. However, they can’t meet all the demands of WiFi RSS-based A supplementary open dataset localization RSS, called as SODIndoorLoc, covering three buildings with multiple floors, is presented in this work. The includes dense and uniformly distributed Ref...

Abstract The received signal strength difference (RSSD) localization is a kind of method to locate emission sources by measuring the differences level between monitoring stations and essentially truth value ratios measured strength. In existing literatures, only rule RSSD circle two geometric relation five were analyzed, but number station layout minimum network have not been investigated. pres...

In this paper, we present a Neural Network (NN) model based on Architecture Search (NAS) and self-learning for received signal strength (RSS) map reconstruction out of sparse single-snapshot input measurements, in the case where data-augmentation by side deterministic simulations cannot be performed. The approach first finds an optimal NN architecture simultaneously train deduced over some grou...

Wireless Sensor Network received signal strength and link quality Indicators, RSSI and LQI respectively, of Wireless Sensor Network are considered as a crucial indication for channel characterization and thus network communication success. Most of researcher used LQI as an estimation of RSS, although it is not accurate since it depend on approximation estimation. This research introduces an exp...