Experimental Results on Indoor Localization Techniques through Wireless Sensors Network

Abstract

In this paper we present the results of an intensive experimental campaign performed at IEIIT-BO/CNR, Bologna, Italy, on an indoor localization system based on wireless sensors network. Received signal strength indications have been measured and collected using real devices. The data serve as an input data-base for an off-line investigation of different localization techniques. This enables us on one side to improve location accuracy through propagation model tuning, on the other side to compare different location algorithms in term of complexity and performance. Results of these optimizations and comparisons are presented in this paper

The Error Propagation Analysis of the Received Signal Strength-Based Simultaneous Localization and Tracking in Wireless Sensor Networks

“…In [61], the network experiments were carried out to examine the performance of cooperative network localization with range and waveform measurements, which provides insight into the potential value of cooperative techniques and environmental information. A realistic indoor localization experiment was performed in [62] to examine the off-line RSS propagation model tuning and different localization strategies. In order to characterize the measurement diversity (i.e., the combination of multiple measurement methods) on the navigation system performance, an extensive experiment campaign was performed in [63].…”

“…All these research efforts provide valuable references for the wireless localization and tracking design in terms of system optimization [47], [48], [49], [51], [52], [53], algorithms development [42], [57], [58], [59], [60], performance limits [38], [40], [41], [43], [44], [45], [46] and environmental experiments [61], [62], [63], with various measurement choices and practical constraints (e.g., indoor [67], outdoor [68], mobile tracking [42], non-line-of-sight [39], [40], [41] and limited energy budget [18], [19], [20]). However, there is no relevant work on the investigation of the EP philosophy for the SLAT scheme in WSNs, particularly in environments with the spatial-temporal-domain random measurement accuracy.…”

Experimental analysis of RSSI-based indoor localization with IEEE 802.15.4

“…A different approach is taken in [11], where the localization of a target node is performed in a real WSN scenario. In this test, three MICA2 anchor nodes have been disposed in appropriate locations and the Min-Max algorithm has been used.…”

“…Given the coordinates of the center of the i-th circle (x i , y i ) and its radius r i , the equation of a circle is 11) and the intersection of the three circles is calculated solving the system…”

A New Low-Complexity User Tracking Algorithm for WLAN-Based Positioning Systems

“…The Bayesian filters offer a powerful mathematical tool for the location problem within a wireless sensor network and could be considered a near optimal solution for indoor positioning problems. However as shown in [5], in order to set-up a positioning system based on a Bayesian filter, we need to determinate both a well-accurate mobility model, and a perception model. Furthermore as we will show in the following, it's not easy to determine exactly these two models and all the related parameters: a long and time-expensive tuning phase is required and an imperfect choice of the models can significantly affect the precision of the positioning system.…”