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.
In present days, where anyone stays online nearly everywhere and everytime, it is crucial from the viewpoint of service providers to collect consumers data, so that questions such as “what kind of advertisement do they click on?”, “what do they buy online?”, “what IP-TV channels do they watch?” and “what do they like to do on social networks?” are answered and some relevant information about the users'...
Location privacy is an important issue in location-based services. A large number of location cloaking algorithms have been proposed for protecting location privacy of users. However, these algorithms cannot be used in vehicular networks due to constrained vehicular mobility. In this paper, we propose a new method named Protecting Location Privacy with Clustering Anonymization (PLPCA) for location-based...
We study the important problem of source localization in the context of information spreads in large social networks. Specifically, we design a Maximum-Likelihood source localization algorithm that is especially suited to large social networks. Our proposed algorithm requires about 3% fewer sensor nodes than other single stage algorithms for the same level of accuracy in detection. For practical social...
Cooperative spectrum sensing is an efficient solution to mitigate the primary hidden terminal problem through the involvement of the sensing result for cooperative users. Clustering is introduced to tackle the degradation in the performance of cooperative spectrum sensing caused by fading and shadowing of reporting channel, and also to reduce the control channel overhead when the number of cooperative...
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.