 Abstract—In today’s era position of any outdoor element can be determine precisely using GPS. But in the indoor environment like house, colleges, underground construction site GPS does not work well. As now-a-days all house and colleges are equipped with Wi-Fi access point, precise position can be found out using Wi-Fi using method name Received Signal Strength Indicator (RSSI). A series of e...

This paper presents a BLE-based localization method suitable for the indoor smartphone geolocation service. In this method, a triangulation technique using Direction-of-Departure (DOD) information from the multiple BLE beacons is used for localization, where they are calculated only from the Received Signal Strength Indicator (RSSI). The outline of the proposed localization system and the exper...

The design of accurate localization algorithms in the realization of wireless sensor networks is a challenging task. Localization in wireless sensor networks is becoming more important, because many applications need to locate the source of incoming measurement as precise as possible. In this paper the localization system estimates the distance between sensor nodes by measuring the RSSI (receiv...

A multilateration algorithm is presented in this work in order to realize a precise localization of the sensor nodes in wireless sensor networks in logistic applications. RSSI (Received Signal Strength Indicator) is used for distance measurements between sensor nodes. The developed algorithm is simulated and afterwards implemented in a real sensor network for food transportation logistic. The t...

The Wi-Fi positioning systems available for enclosed spaces use the existing network infrastructure to calculate the position of the mobile device (MD). The most commonly used parameter is RSSI (Received Signal Strength Indicator). In this paper, we analyze the Fingerprint technique considering some variations aimed at improving the accuracy of the technique and minimizing calculation time. Sig...

Using Received Signal Strength Indicator (RSSI) values to detect human presence is a well-known Wi-Fi sensing technique. In this paper, an overview of existing algorithms solving the problem considered. Two new techniques based on discrete Kolmogorov-Wiener filter and gated recurrent unit neural network are proposed. Human detection experiment results presented along with algorithms' accuracy a...

Saat ini, sistem komunikasi seluler telah menjadi suatu kebutuhan penting bagi masyarakat. Penelitian ini bertujuan untuk menganalisis kinerja jaringan 4G LTE melalui drive test dengan parameter RSRP (Reference Signal Received Power), RSSI (Received Strength Indicator), RSRQ Quality), dan SNR (Signal-to-Noise Ratio). Nilai data dari hasil pada provider XL Axiata, nilai kategori sangat baik bera...