Accurate Location Estimation for a Dynamically Moving Object Using Modified Particle Filter Algorithm

The need for ubiquitous computing technology is expected to become very small and reasonably cheap in the future; large amounts of electronic items can be deployed almost everywhere. This perspective makes it interesting to take a look at scenarios where small chips would become so plentiful that this will not only allow identification of relatively valuable single objects but could also be simply distributed over surfaces, like in scenarios emerging from sensor networks research. We introduce a new method for locating objects in a dynamically changing environment. Yet, for instance, RFID tags attached to mobile objects provide us with interesting new applications, like allowing mobile devices to obtain their current location or context information on the spot, without rather expensive positioning calculations. Our modified particle filter algorithm provide better accuracy in locating a dynamically moving object in a Library, where the speed of movement is within specified limits.