High performance wireless sensor network localisation system

Abstract

Abstract:In this paper we summarize the results of our research concerned with the development, implementation and evaluation of a software framework for wireless sensor networks localization -High Performance Localization System (HPLS). The system can be used to calculate positions of sensing devices (network nodes) in the deployment area, and to tune and verify various localization schemes through simulation. It provides tools for data acquisition from a workspace, estimation of inter-node distances, calculation of geographical coordinates of all nodes with unknown position and results evaluation. Received Signal Strength measurements are utilized to support the localization process. Trilateration, simulated annealing and genetic algorithm are applied to calculate the geographical coordinates of network nodes. The utility, efficiency and scalability of the proposed localization system HPLS have been justified through simulation and testbed implementation. The calculations have been done in parallel using the map-reduce paradigm and the HPC environment formed by a cluster of servers. The testbed networks were formed by sensor devices manufactured by Advantic Technology (clones of TelosB platform). A provided case study demonstrates the localization accuracy obtained for small-, medium-and large-size multihop networks.

Simulation Of Robot-Assisted WSN Localization Using Real-Life Data

“…Although the fluctuations of the signal strength make localization much more difficult, we decided to build the RSSIdistance relationship model and check how this fluctuations impose localization process. Similar results were observed by us earlier - Marks et al (2014) and they didn't prevent us from obtaining high localization accuracy. The RSSI-distance modelling was done using OLS scheme (see Marks and Niewiadomska-Szynkiewicz (2011)).…”

“…Multilateration is a widely used and popular algorithm in WSN localization, however it's accuracy is not impressive for noisy measurements. Unfortunately in case of localization problem defined in previous section there is no place for algorithms utilizing the information about all connections in the network, which are much more precise, as the one described by Marks et al (2014).…”

“…High localization quality obtained by our High Performance Localization System (HPLS) in case of static networks (see Marks et al (2014)) encouraged us to validate by simulation the possibility of localizing moving object in WSN environments. The simulation is done numerically but is based on real-life data registered in existing network composed by set of Crossbow MicaZ nodes.…”

An efficient node deployment method for indoor passive localisation

“…GA is an optimisation technique derived from the principles of evolutionary theory (Holland, 1992;Marks et al, 2014). We use GA to select the fittest node combination after empirically deploying nodes in an indoor area.…”

A Movement-Assisted Deployment of Collaborating Autonomous Sensors for Indoor and Outdoor Environment Monitoring

“…The most important ones are: localization in the case of a dynamically-changing network topology, maintaining communication connectivity and energy conservation. The GPS systems or specialized location schemes [ 11 , 12 , 13 ] are required to track the spatial positions of nodes. To maintain permanent communication connectivity, each sensor has to remain within a transmission range of at least one other node, regardless of the moving strategy.…”