Simulation Tool for the Analysis of Cooperative Localization Algorithms for Wireless Sensor Networks

Abstract

Within the context of the Internet of Things (IoT) and the Location of Things (LoT) service, this paper presents an interactive tool to quantitatively analyze the performance of cooperative localization techniques for wireless sensor networks (WSNs). In these types of algorithms, nodes help each other determine their location based on some signal metrics such as time of arrival (TOA), received signal strength (RSS), or a fusion of them. The developed tool is intended to provide researchers and designers a fast way to measure the performance of localization algorithms considering specific network topologies. Using TOA or RSS models, the Crámer-Rao lower bound (CRLB) has been implemented within the tool. This lower bound can be used as a benchmark for testing a particular algorithm for specific channel characteristics and WSN topology, which allows determination if the necessary accuracy for a specific application is possible. Furthermore, the tool allows us to consider independent characteristics for each node in the WSN. This feature allows the avoidance of the typical “disk graph model,” which is usually applied to test cooperative localization algorithms. The tool allows us to run Monte-Carlo simulations and generate statistical reports. A set of basic illustrative examples are described comparing the performance of different localization algorithms and showing the capabilities of the presented tool.

Aplicación para el estudio de medida de distancias mediante UWB

“…Una de las aplicaciones más comunes de UWB es el posicionamiento o medición de distancias de alta resolución con medidas de hasta 100 m (Leeper, 2003). La elevada precisión en la medida de distancias hace que UWB sea una tecnología candidata para la aplicación de algoritmos de posicionamiento cooperativos, donde varios nodos se localizan de forma simultánea (Ruz, 2019). Para ello, la distancia presente entre dispositivos se estima a través del denominado tiempo de vuelo o tiempo de llegada (Round Trip Time, RTT), conociendo la demora de una señal de radio al enviarse desde un emisor un receptor, siendo este un algoritmo apropiado debido a la elevada resolución en tiempo de las señales de radio UWB (Xu, 2008).…”

State of the Art Systematic Literature Review on Selection of Top Ten WSN Simulators – Part A

“…Simulator Info Depth: Basic Introductory In the paper [11], V. Venkataramanan and S. Lakshmi discussed the LTE-supporting network simulator tools and their associated inferences. They also presented a comparison with other LTE module-supporting network simulators.…”

RSSI-Based Localization Schemes for Wireless Sensor Networks Using Outlier Detection

“…This results in lower energy consumption since, unlike in the centralized schemes, only inter-node communication occurs. Distributed localization schemes can be classified into range-based [9][10][11][12][13][14] and range-free [15][16][17][18][19][20] localization schemes. In range-based localization schemes, estimates of the distances or angles between BNs and a sensor node are used in trilateration or triangulation to estimate the location of a sensor node.…”