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 and analyze spatial diversity combining and selection schemes in a wireless-powered communication network with multi-antennas at energy access point (EAP) and data access point (DAP). The EAP adopts either maximal-ratio transmitting or transmit antenna selection to wirelessly transfer power, and the DAP employs either maximal-ratio combining or receive antenna selection to combine the received...
Due to the complexity of the indoor environment, this paper proposes an adaptive ranging T-S model (ADRTS). The new model can be through self-learning to range and improve the ranging accuracy. The proposed method exploits the adaptive to range precisely under the changeable environments. Compared with the classical ranging model, the proposed model is with high accuracy under the indoor environment...
Wireless Sensor node location is very important for communication in Wireless Sensor Network (WSN). The accuracy of ranging significantly affects the accuracy of localization of the node. However, WSN nodes are often randomly fixed in an unknown environment. Traditional ranging model depend on the environment parameter too much. Considering the effect of these factors, this paper presents an adaptive...
In wireless sensor network, nodes localization is the basis to communicate effectively, and it is the key technology to improve the nodes location accuracy. This paper analyzes the conventional algorithms in positioning nodes coordinate (maximum likelihood estimation, weighted least squares, kalman filter algorithm), and this paper proposes an improved algorithm for nodes localization in wireless...
Traffic modeling contributes remarkably to network design and performance evaluation in wireless networks. Various traffic models have been proposed for wireless networks thus far.. In order to provide a better understanding in this area, the article presents a detailed investigation to current studies of traffic models in different wireless networks. And then the origins of model differences are...
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.