Abstract
Localization has become an important aspect in a wide range of mobile services with the integration of the Internet of things and service on demand. Numerous mechanisms have been proposed for localization, most of which are based on the estimation of distances. Depending on the channel modeling, each mechanism has its advantages and limitations on deployment, exhibiting different performances in terms of error rates and implementation. With the development of technology, these limitations are rapidly overcome with hybrid systems and enhancement schemes. The successful approach depends on the achievement of a low error rate and its controllability by the integration of deployed products. In this study, we propose and analyze a new distance estimation technique employing photography and image sensor communications, also named optical camera communications (OCC). It represents one of the most important steps in the implemented trilateration localization scheme with real architectures and conditions of deployment which is the second our contribution for this article. With the advantages of the image sensor hardware integration in smart mobile devices, this technology has great potential in localization-based optical wireless communication
Highlights
IntroductionIn the last few decades, localization techniques that obtain the user’s location in a particular environment have been widely considered as a core technology for on-demand applications and services
In the last few decades, localization techniques that obtain the user’s location in a particular environment have been widely considered as a core technology for on-demand applications and services.This technology mainly supports industrial business solutions and includes robotic, sensor network, or human life actions such as navigation and tracking [1,2]
From the captured coordinate information on the image sensor, the distance the two LEDs is given by Equation (5)
Summary
In the last few decades, localization techniques that obtain the user’s location in a particular environment have been widely considered as a core technology for on-demand applications and services. This technology mainly supports industrial business solutions and includes robotic, sensor network, or human life actions such as navigation and tracking [1,2]. GPS faces many difficulties with lines-of-sight signal transmissions due to the building block propagation or signal clock. For indoor environments, this technique can be employed by re-using its simple existing infrastructure. GPS is not the optimal technique for indoor localization [5]
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