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 practical applications of wireless sensor networks (WSNs), the collected sensory data contain noises that are superimposed during collection and transmission process. Additionally, with the deployment environment changed, the sparsity of sensory data could also be changed. It is necessary to design a novel dictionary learning method to address these issues. In this paper, the unit orthogonal atom...
To enhance the accuracy and improve the efficiency of dictionary learning algorithm for compressive data gathering (CDG) in wireless sensor networks (WSNs), a robust efficient dictionary learning (REDL) algorithm is proposed. REDL algorithm separates outliers from training data by sparse coding them on identity matrix, and double-sparsity dictionary structure is introduced into the algorithm to provide...
Compressive sensing (CS) is a promising data acquisition and compression technology that can be used to reduce and balance the transmission cost in wireless sensor networks (WSNs). However, the transmission links are unreliable frequently and data loss is very common in wireless sensor networks. What's more, the reconstruction accuracy is reduced greatly due to unreliable links and data loss. In order...
In this paper, we present a site-based and resource-constrained project scheduling problem with generalized precedence relation (SRCPSP-GPR) by extending the RCPSP-GPR, in which the site constraints are considered to minimize project durations. After formalizing the SRCPSP-GPR, we give three concepts, i.e., Same-site activities, SubNet and Combined-SubNet, based on the precedence and site constraints...
It is difficult to teach visually impaired children body movements. The traditional way to learn body movements is for the teacher to hold the hand of the visually impaired child. However, this approach is time consuming, laborious, and ineffective. Because of the development of sensing technology, it can be applied to military detection, medical care, security monitoring, crop growth, and technology...
Energy efficiency is of great importance in wireless sensor networks, where each node is typically powered by battery with limited energy supply. In this case, cooperative broadcasting plays a significant role in saving transmission power consumption by introducing the accumulation of signal energy and cooperative transmission. In this paper, we consider a clustered wireless sensor network (WSN) where...
Many studies already indicated that cooperative learning can promote learners' interest than learning process purely based on individual competition, so that learners could get more enthusiastic while they can get involved in learning activities. Nevertheless, cooperative learning usually groups students by means of random or normal distribution approach, it is not a thoughtful means for learners...
In wireless sensor networks, energy efficiency is an important research issue. The data transmission times could be decreased effectively to achieve energy efficiency by applying a cluster-based structure. This study proposed a level-based energy efficiency clustering approach. Each cluster replaces its cluster head and re-clusters periodically according to the established energy level. A cluster...
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.