The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
We propose a simple yet effective and fair scheduler for dense Machine to Machine (M2M) implementations. The proposed scheduler aims to insure that all the devices that are randomly requesting for channel time are equally catered to. In other words the number of times each device is given access to the channel should approximately be equal to the number of times the rest of the devices are given access...
Vehicle-actuated traffic light controllers react to changes in traffic density throughout the day in order to optimize traffic flow effectively using traffic light control algorithms. Microscopic simulators are typically used to determine the performance of a traffic control scheme/algorithm by studying their effect on the relevant traffic parameters such as average waiting time, average travel time...
Pre-timed traffic signals are inefficient in optimizing the traffic flow throughout the day, resulting in greater waiting times at the intersections particularly in congested urban areas during peak hours. Traffic actuated signals use real time traffic data obtained from sensors at the intersections to service queues intelligently. We developed a test bed for the real time evaluation of adaptive traffic...
The main reason for traffic congestion at intersections in urban areas is non-actuated traffic light controllers which aren't equipped with capabilities to handle changes in the traffic flow throughout the day. Actuated traffic light controllers monitor the traffic conditions in real time and are equipped appropriately to react to varying changes in traffic flows thus reducing traffic congestion....
A fast learning neural network based scheduling system is presented to predict the frames on a single and multi-user MPEG-4 traffic and to distribute the bandwidth accordingly. MPEG-4 video stream traffic from various sources is used to evaluate the capability of this algorithm. A Fast learning Neural network algorithm also termed as Cartesian Genetic Programming Evolved Artificial Neural Network...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.