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 this paper, we study the cost efficient topology design (CETD) problem in a predictable delay tolerant networks (DTN) where the time-evolving network topology is known a priori or can be predicted. We model such time-evolving network as a weighted space-time graph which includes both spacial and temporal information. The aim of CETD is to build a sparse structure from the original space-time graph...
Localization is a fundamental problem in wireless sensor networks. Current localization algorithms mainly focus on checking the localizability of a network and/or how to localize as many nodes as possible given a static set of anchor nodes and distance measurements. In this paper, we study a new optimization problem, minimum cost localization problem, which aims to localize all sensors in a network...
How to efficiently collect sensing data from all sensor nodes is critical to the performance of wireless sensor networks. In this paper, we aim to understand the theoretical limitations of data collection in terms of possible and achievable maximum capacity. Previously, the study of data collection capacity has only concentrated on large-scale random networks. However, in most of practical sensor...
Data collection is one of the most important functions provided by wireless sensor networks. In this paper, we study the theoretical limitations of data collection and data aggregation in terms of delay and capacity for a wireless sensor network where n sensors are randomly deployed. We consider two different communication scenarios (with or without aggregation) under physical interference model....
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.