Localization in mobile wireless and sensor networks

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A linear regression based cost function for WSN localization

Localization with Wireless Sensor Networks (WSN) creates new opportunities for location-based consumer communication applications. There is a great need for cost functions of maximum likelihood localization algorithms that are not only accurate but also lack local minima. In this paper we present Linear Regression based Cost Function for Localization (LiReCoFuL), a new cost function based on regression tools that fulfills these requirements. With empirical test results on a real-life test bed, we show that our cost function outperforms the accuracy of a minimum mean square error cost function. Furthermore we show that LiReCoFuL is as accurate as relative location estimation error cost functions and has very few local extremes

Dead Reckoning Localization Technique for Mobile Wireless Sensor Networks

Localization in wireless sensor networks not only provides a node with its geographical location but also a basic requirement for other applications such as geographical routing. Although a rich literature is available for localization in static WSN, not enough work is done for mobile WSNs, owing to the complexity due to node mobility. Most of the existing techniques for localization in mobile WSNs uses Monte-Carlo localization, which is not only time-consuming but also memory intensive. They, consider either the unknown nodes or anchor nodes to be static. In this paper, we propose a technique called Dead Reckoning Localization for mobile WSNs. In the proposed technique all nodes (unknown nodes as well as anchor nodes) are mobile. Localization in DRLMSN is done at discrete time intervals called checkpoints. Unknown nodes are localized for the first time using three anchor nodes. For their subsequent localizations, only two anchor nodes are used. The proposed technique estimates two possible locations of a node Using Bezouts theorem. A dead reckoning approach is used to select one of the two estimated locations. We have evaluated DRLMSN through simulation using Castalia simulator, and is compared with a similar technique called RSS-MCL proposed by Wang and Zhu .Comment: Journal Paper, IET Wireless Sensor Systems, 201

Implicit Cooperative Positioning in Vehicular Networks

Absolute positioning of vehicles is based on Global Navigation Satellite Systems (GNSS) combined with on-board sensors and high-resolution maps. In Cooperative Intelligent Transportation Systems (C-ITS), the positioning performance can be augmented by means of vehicular networks that enable vehicles to share location-related information. This paper presents an Implicit Cooperative Positioning (ICP) algorithm that exploits the Vehicle-to-Vehicle (V2V) connectivity in an innovative manner, avoiding the use of explicit V2V measurements such as ranging. In the ICP approach, vehicles jointly localize non-cooperative physical features (such as people, traffic lights or inactive cars) in the surrounding areas, and use them as common noisy reference points to refine their location estimates. Information on sensed features are fused through V2V links by a consensus procedure, nested within a message passing algorithm, to enhance the vehicle localization accuracy. As positioning does not rely on explicit ranging information between vehicles, the proposed ICP method is amenable to implementation with off-the-shelf vehicular communication hardware. The localization algorithm is validated in different traffic scenarios, including a crossroad area with heterogeneous conditions in terms of feature density and V2V connectivity, as well as a real urban area by using Simulation of Urban MObility (SUMO) for traffic data generation. Performance results show that the proposed ICP method can significantly improve the vehicle location accuracy compared to the stand-alone GNSS, especially in harsh environments, such as in urban canyons, where the GNSS signal is highly degraded or denied.Comment: 15 pages, 10 figures, in review, 201

Design and Experimental Validation of a Cooperative Driving System in the Grand Cooperative Driving Challenge

In this paper, we present the Cooperative Adaptive Cruise Control (CACC) architecture, which was proposed and implemented by the team from Chalmers University of Technology, Göteborg, Sweden, that joined the Grand Cooperative Driving Challenge (GCDC) in 2011. The proposed CACC architecture consists of the following three main components, which are described in detail: 1) communication; 2) sensor fusion; and 3) control. Both simulation and experimental results are provided, demonstrating that the proposed CACC system can drive within a vehicle platoon while minimizing the inter-vehicle spacing within the allowed range of safety distances, tracking a desired speed profile, and attenuating acceleration shockwaves

Juegos Educativos Móviles basados en posicionamiento: una guía para su conceptualización

Los Juegos Educativos Móviles basados en posicionamiento constituyen un tipo particular de Aplicación Móvil y cuentan con características propias que los identifican. Son creados con objetivos educativos y se emplean como una herramienta en el proceso de aprendizaje por considerarse un elemento motivador para el alumno en dicho proceso. En este trabajo se propone una Guía para la Conceptualización de Juegos Educativos Móviles basados en posicionamiento. Esta conceptualización contempla dos capas, la capa de contenido educativo y la capa de movilidad, a fin de lograr el reuso de las mismas brindando flexibilidad en su composición.Publicado en Proceedings of ASSE 2012 (Argentine Symposium of Software Engineering).Facultad de Informátic

Juegos educativos móviles basados en posicionamiento: una guía para su conceptualización

Los Juegos Educativos Móviles basados en posicionamiento constituyen un tipo particular de Aplicación Móvil y cuentan con características propias que los identifican. Son creados con objetivos educativos y se emplean como una herramienta en el proceso de aprendizaje por considerarse un element motivador para el alumno en dicho proceso. En este trabajo se propone una Guía para la Conceptualización de Juegos Educativos Móviles basados en posicionamiento. Esta conceptualización contempla dos capas, la capa de contenido educativo y la capa de movilidad, a fin de lograr el reuso de las mismas brindando flexibilidad en su composición.Publicado en Proceedings of ASSE 2012 (Argentine Symposium of Software Engineering)

Juegos Educativos Móviles basados en posicionamiento: una guía para su conceptualización

Los Juegos Educativos Móviles basados en posicionamiento constituyen un tipo particular de Aplicación Móvil y cuentan con características propias que los identifican. Son creados con objetivos educativos y se emplean como una herramienta en el proceso de aprendizaje por considerarse un elemento motivador para el alumno en dicho proceso. En este trabajo se propone una Guía para la Conceptualización de Juegos Educativos Móviles basados en posicionamiento. Esta conceptualización contempla dos capas, la capa de contenido educativo y la capa de movilidad, a fin de lograr el reuso de las mismas brindando flexibilidad en su composición.Publicado en Proceedings of ASSE 2012 (Argentine Symposium of Software Engineering)