Entropy correlation and its impact on routing with compression in wireless sensor network
| Autor: | Nguyen Thi Thanh Nga, Son Ngo Hong, Nguyen Kim Khanh |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Routing protocol
Computer science Computation Correlation clustering 020206 networking & telecommunications 02 engineering and technology computer.software_genre Joint entropy Correlation Computer Science::Networking and Internet Architecture 0202 electrical engineering electronic engineering information engineering Entropy (information theory) 020201 artificial intelligence & image processing Data mining Cluster analysis computer Wireless sensor network |
| Zdroj: | SoICT |
| DOI: | 10.1145/3011077.3011115 |
| Popis: | The existence of correlation characteristics brings significant potential advantages for the development of efficient routing protocols in wireless sensor network. However, one of the main problems is identifying the correlation region. This paper proposes an estimated joint entropy model to evaluate joint entropy of multiple sensed data. Using the proposed model, a definition of correlation region based on entropy theory is proposed and followed by a correlation clustering scheme with less computation is presented. In addition, using the proposed model, some routing protocols with compression scheme are considered in order to select the most appropriate scheme. The clustering of correlation region to optimize the communication cost is also considered in this paper. |
| Databáze: | OpenAIRE |
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