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 localized Delay-bounded and Energy-efficient Data Aggregation scheme (DEDA) for wireless sensor and actor networks that are modeled as undirected graphs (URG). The scheme is based on a novel concept of Desired Hop Progress (DHP) and designed for low-traffic, request-driven network scenarios, where delay is proportional to hop count [10]. It builds a local minimal spanning tree (LMST)...
In wireless sensor networks, measurements from neighboring sensor nodes are typically cross-correlated and can be aggregated and compressed locally. This process, referred to as in-network data aggregation, saves a lot of energy by reducing the amount of data that needs to be transferred to the data sink. We consider the problem of using a TDMA schedule in order to perform data aggregation in a network...
Limited energy is one of the principal challenges in Wireless Sensor Networks (WSNs). In the application of Structural Health Monitoring (SHM), overwhelming data provision is another big problem. Data aggregation condenses raw data into useful information and reduces redundant data transmissions. Consequently, significant energy and data storage are saved, and tasks can be completed more efficiently...
Energy is a major constraint in wireless sensor networks. Data Aggregation constitutes a fundamental mechanism for energy optimization. The idea is to minimize redundancy from the raw data captured by the sensors, minimizing the number of transmissions to the sink and thus saving energy. Since the data is often captured on a periodic basis, and sensor nodes detect common phenomena, a periodic based...
The smart grid will deliver electricity from suppliers to consumers using digital technology to save energy, reduce cost and increase reliability and transparency. The realization of the smart grid requires the modernization of the control system that governs the electricity supply process. The power grid will be instrumented with thousands of new digital control devices, sensors, and smart meters...
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.