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Teaching Networks How to Learn

Name: Teaching Networks How to Learn
Brand: Sudwestdeutscher Verlag Fur Hochschulschriften AG
SKU: 9783838109367
Price: 202.19 PLN
Availability: InStock

Data Dissemination in Wireless Sensor Networks with Reinforcement Learning

Autor: Anna Förster

Język:

Oprawa: Miękka

Wydawca: Sudwestdeutscher Verlag Fur Hochschulschriften AG

Dostępność: Dostępna u dostawcy

Wysyłamy za 8-11 dni

202.19 zł

Routing and clustering for wireless sensor networks (WSN) play a significant role for reliable and e...

Informacje o książce

Autor

Anna Förster

Język

Niemiecki

Oprawa

Książka - Miękka

Data wydania

2009

strony

236

EAN

9783838109367

ISBN

3838109368

Enbook ID

06937642

Wydawca

Sudwestdeutscher Verlag Fur Hochschulschriften AG

Waga

322

Wymiary

152 x 229 x 13

Pełny opis

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. 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. Showing this will open up new paths for development at all levels of the communication stack. 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. 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.

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Teaching Networks How to Learn

Data Dissemination in Wireless Sensor Networks with Reinforcement Learning

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