A genetic algorithm-based approach to optimize the coverage and the localization in the wireless audiosensors networks

International audienceCoverage is one of the most important performance metrics for sensor networks that reflects how well a sensor field is monitored. In this paper, we are interested in studying the positioning and placement of sensor nodes in a WSN in order to maximize the coverage problem and to optimize the audio localization in wireless sensor networks. First, we introduce the problem of deployment. Then we propose a mathematical formulation and a genetic based approach to solve this problem. Finally, we present the results of experimentations. This paper presents a genetic algorithm which aims at searching for an optimal or near optimal solution to the coverage holes problem. Compared with random deployment as well as existing methods, our genetic algorithm shows significant performance improvement in terms of quality

Localisation d'une source sonore par un réseau de microphones

National audienceL'assistance à domicile d'une personne âgée, notamment la connaissance de sa position géographique en tout instant, est devenue actuellement l'une des problématiques les plus urgentes. L'exploitation de l'information audio captée par un réseau de capteurs munis de microphones constitue un axe de recherche prometteur qui pourrait contribuer à une meilleure localisation dans le cadre des maisons intelligentes. Nous introduisons, dans cet article, nos premiers travaux sur la localisation audio en présentant un système de localisation sonore par un ensemble de deux microphones qui se base sur l'estimation de la différence de temps d'arrivée (TDOA). Les résultats montrent qu'un couple de microphones peut localiser une source sonore dans un rayon de 3m et avec une précision de moins de 3 degrés

BLE Localization using RSSI Measurements and iRingLA

International audienceOver the last few years, indoor localization has been a very dynamic research area that has drawn great attention. Many methods have been proposed for indoor positioning as well as navigation services. A big number of them were based on Radio frequency (RF) technology and Radio Signal Strength Indicator (RSSI) for their simplicity of use. The main issues of the studies conducted in this field are related to the improvement of localization factors like accuracy, computational complexity, easiness of deployment and cost. In our study, we used Bluetooth Low Energy (BLE) technology for indoor localization in the context a smart home where an elderly person can be located using an hybrid system that combines the radio, light and sound information. In this paper, we propose a model that averages the received signal strength indication (RSSI) at any the distance domain which offered accuracy down to 1 meter, depending on the deployment configuration

Real Time Acoustic Localization of Elderly Persons in a Smart Home

International audienceDue to the growing number of elderly people during the last decade, new needs came out especially in term of healthcare, resulting in more demand for self-care and home-based services. The emergence of smart technologies and home-based care has made this possible. In fact, smart home technology is designed to provide a place where old people can live independently as they wish by maintaining a control of every aspect of their daily life. Locating an elderly person in his home at any moment is one of the most concerns of smart home designers. The use of acoustic information captured in the smart home is one of the axes that can bring more possibilities in term of localization. This paper focuses on developing a sound source localization system using microphone arrays. Time difference of arrival (TDoA) using correlation technique is used for estimating the delay between two signals captured by two different microphones. The direction of arrival of the sound source can be obtained using this delay. Finally the sound source is positioned by adopting the geometric location method. This system has been tested by a set of experiments and the results are satisfactor

Evaluation Precision of a new Hybrid Indoor Localization System

International audienceBluetooth Low Energy (BLE) has revealed for decades many interesting opportunities especially in the field of positioning that made of it one of the most used technologies in indoor localization solutions. The system we propose is a combination of BLE, Acoustic and LiFi technologies. Our approach is not just arithmetic but using real time computed metrics that act precision indicators or "Dilution of precision" (DOP) weights of the results given by each technology. Depending on these DOP-like indicators, we were able to judge how much precise and accurate the returned results are. Our new approach was confirmed during experiments showing that the precision of this new hybrid system is much better when using these new precision metrics