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This paper presents a low cost mobile application (app) integrated on an Internet of Things (IoT) ecosystem, which uses varied sensor information collected by mobile devices to track and assist on the logistics of urban goods distribution processes. The proposed approach is leveraged by the trend of decreasing costs for mobile data communication in urban environments. Taking into account basic sensor...
Leveraging on the recent availability of open data about public transports, the last generation of smartphone applications provide highly personalised guidance to passengers during their trips. This smart assistance definitely improves the passenger comfort, streamlines their trips, especially in case of infrastructure incidents and/or multimodal trips. However, there are important limitations stemming...
Interactive wireless applications, like VoIP over wireless networks, desire high-quality links and smooth connectivity during user movement. In order to support seamless roaming in wireless networks, handoff optimization has attracted a lot of attention recently. Most existing approaches aim at reducing handoff latency in communication protocols. While these methods provide significant savings in...
Traditional travel information such as books, outlets and so on are popular, but they are not convenient, and part of them is out of time. Self guide mobile system provides new travel information gaining method. It eliminates language obstacle, presents abundant, real-time and position-oriented travel information automatically. Moreover it integrates geography information system, multimedia, Global...
Fixing positioning errors calibration of payload will help to improve the payload's performance. Several kinds of methods of correcting errors and their own characteristics are referred to and a new fixing positioning errors correction method of photoelectric payload of aerial mobile platform is proposed based on simplified ant colony system. By simulation of both minor errors and major errors, rapid...
Distributed sensor networks are used for asset monitoring within industrial environments. Energy efficient operation of such systems is an important characteristic. Mobile data collectors have been proposed as an approach for reducing energy requirements of data dissemination. Macro level optimisation techniques for selecting the overall best route for data collection exists, but they often oversee...
In this paper, we propose a novel route guidance algorithm that provides better wireless network availability. Using a GPS device, geographical information is considered to select a short geographical path while ensuring the maximum covered distance and the minimum handovers number. An efficient algorithm is derived to tackle the problem in polynomial time. Our solution is optimal and well suited...
We derive the Neyman-Pearson error exponent for the detection of Gauss-Markov signals using randomly spaced sensors. We assume that the sensor spacings, d1,d2,..., are drawn independently from a common density fd(.), and we treat both stationary and nonstationary Markov models. Error exponents are evaluated using specialized forms of the strong law of large numbers, and are seen to take on algebraically...
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