نتایج جستجو برای: processing nodes
تعداد نتایج: 618837 فیلتر نتایج به سال:
Most ZigBee sensor networks to date make use of nodes with limited processing, communication, and energy capabilities. Energy consumption is of great importance in wireless sensor applications as their nodes are commonly battery-driven. Once ZigBee nodes are deployed outdoors, limited power may make a sensor network useless before its purpose is complete. At present, there are two strategies fo...
—We propose a new XOR based scheduling algorithm for network coding in cooperative local repair. The algorithm makes use of knowledge of the packets availability at neighboring nodes to improve the overall network throughput. In our proposed algorithm, we use network coding to determine which node should transmit and in which time slot (sequential MAC) that would provide the best improvement. T...
Recent advances in computer processing speeds have resulted in a parallel processing environment in which the interconnection networks themselves are the limiting factor in terms of performance. One approach to circumvent this limitation is to arrange processing nodes in a hierarchical manner. In a hierarchical network, nodes are arranged in clusters of one or more nodes and these clusters are ...
[email protected] [email protected] Abstract— Wireless sensor networks are formed by small sensor nodes communicating over wireless links without using a fixed network infrastructure. Each of the sensor nodes is capable of sensing, processing, and transmitting environmental information. Since the sensor nodes are equipped with battery having limited energy, energy efficient information...
Abstract In this paper, we employ compressive sensing (CS) to design a data gathering scheme for wireless sensor networks (WSNs) with transmit-only nodes, where plenty of transmit-only nodes are activated to perform the sensing task and their data are gathered at a sink center to monitor environment using the CS principle. Typically, in the research published methods based on CS and random chan...
Dysfunctional reward processing is implicated in various mental disorders, including attention deficit hyperactivity disorder (ADHD) and addictions. Such impairments might involve different components of the reward process, including brain activity during reward anticipation. We examined brain nodes engaged by reward anticipation in 1,544 adolescents and identified a network containing a core s...
Several Job scheduling algorithms have been developed for HadoopMapReduce model, which vary widely in design and behavior for handling different issues such as locality of data, user share fairness, and resource awareness. This article focuses on empirically evaluating the performance of three schedulers: First In First Out (FIFO), Fair scheduler, and Capacity scheduler. To carry out the experi...
Recent research in sensor networks has made it possible to deploy networks of sensors with significant local processing. These sensor networks are revolutionising information collection and processing in many different environments. Often the amount of local data produced by these devices, and their sheer number, makes centralised data processing infeasible. Smart camera networks represent a pa...
Sensor networks play an increasing role in several disciplines like security surveillance or environmental monitoring. A challenge of such systems is integration of observations from individual nodes into a common semantic representation of their environment. In this paper, an approach for establishing such a global view is presented, solely by correlating local information learned at the level...
Path planning belongs to the best-known and well explored problems in computer science. However, in today’s real-time and dynamic applications, such as virtual reality, existing algorithms for static environment are considerably insufficient and, surprisingly, almost no attention is given to techniques for dynamic graphs. This paper introduces two methods to plan a path in an undirected graph w...
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