RSSI-based Algorithm for Indoor Localization

Abstract

Wireless node localization is one of the key technologies for wireless sensor networks. Outdoor localization can use GPS, AGPS (Assisted Global Positioning System) [6], but in buildings like supermarkets and underground parking, the accuracy of GPS and even AGPS will be greatly reduced. Since Indoor localization requests higher accuracy, using GPS or AGPS for indoor localization is not feasible in the current view. RSSI-based trilateral localization algorithm, due to its low cost, no additional hardware support, and easy-understanding, it becomes the mainstream localization algorithm in wireless sensor networks. With the development of wireless sensor networks and smart devices, the number of WIFI access point in these buildings is increasing, as long as a mobile smart device can detect three or three more known WIFI hotspots' positions, it would be relatively easy to realize self-localization (Usually WIFI access points locations are fixed). The key problem is that the RSSI value is relatively vulnerable to the influence of the physical environment, causing large calculation error in RSSI-based localization algorithm. The paper proposes an improved RSSI-based algorithm, the experimental results show that compared with original RSSI-based localization algorithms the algorithm improves the localization accuracy and reduces the deviation.

SDN-based Handover in Future WLAN

“…Although, several position determination schemes [24][25][26][27] has been introduced to estimate position in the wireless network. In this work to estimate the position of MS, we adopt the position estimation method that is divided into two phases [26] are described as follows.…”

Internet of things-based smart classroom environment

“…The second phase is online phase where mobile nodes location is found by matching the RSSI fingerprint to the one's already stored in the database. Statistical methods involve refining the position by attempting to reduce location deviation caused by environmental factors [7].…”

An Internet of Things Platform with Google Eddystone Beacons

“…In the RSSI based localization it should made sure that a minimum value is adopted which is between Wi-Fi scan rate and gyroscope scanning rate to ensure not to collect useless data. Location estimation using RSSI measurement model and sensor node's position estimation using probabilistic model is described in [22]. Accuware Indoor Navigation [23] provides mobile apps with current location information by enabling the navigation.…”