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Teaching Networks How to Learn. Data Dissemination in Wireless Sensor Networks with Reinforcement Learning

Автор:   Anna F.
мягкая обложка
236 страниц
2009 год
Издательство:   Книга по Требованию
2359 руб
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Описание:Showing this will open up new paths for development at all levels of the communication stack. The main goal of this work is to demonstrate that machine learning is a practical approach to a range of complex distributed problems in WSNs. Both are based on reinforcement learning, and exhibit vital properties such as robustness against mobility, node and link failures, fast recovery after failures, very low control overhead and a wide variety of supported network scenarios and applications. Both protocols are fully distributed and have minimal communication overhead. To achieve this goal we present a robust, energy-efficient, and flexible data dissemination framework consisting of the routing protocol FROMS and the clustering protocol Clique. Routing and clustering for wireless sensor networks (WSN) play a significant role for reliable and energy efficient data dissemination. Although these research areas attract a lot of interest lately, there is still no holistic approach that is able to meet the requirements and challenges of many different applications and network scenarios, like various network sizes and topologies, multiple mobile data sinks, or node failures.

Orthomol Immun Junior Сила иммунитета на страже Вашего ребенка Orthomol Immun Junior Сила иммунитета на страже Вашего ребенка

2990 руб
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C# 2008 Programmer's Reference

Chapter 11 Files and Streams At some stage in your development cycle, you need to store data on some persistent media so that when the computer is restarted the data is still be available. In most cases, you either store the data in a database or in files. A file is basically a sequence of characters stored on storage media such as your hard disks, thumb drives, and so on. When you talk about files, you need to understand another associated term — streams. A stream is a channel in which data is passed from one point to another. In .NET, streams are divided into various types: file streams for files held on permanent storage, network streams for data transferred across the network, memory streams for data stored in internal storage, and so forth. With streams, you can perform a wide range of tasks, including compressing and decompressing data, serializing and deserializing data, and encrypting and decrypting data. This chapter examines: □ Manipulating files and directories □ How to quickly read and write ...»

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