| Autor: |
Subramanian, Balaji, Yesudhas, Harold Robinson, Enoch, Golden Julie |
| Předmět: |
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| Zdroj: |
Ingénierie des Systèmes d'Information; Apr2020, Vol. 25 Issue 2, p199-206, 8p |
| Abstrakt: |
The proposed methodology is used for encrypted Joined Compression data attribution which plays a significant responsibility for guaranteed data dependability. Though, the size of the attribution plans to augment at a superior speed as it is delivered from the one end to another end and is executed by a lot of midway nodes. Due to energy and bandwidth boundaries of networks, like growing of attribution size sluggish behind the network and reduces the energy of particular nodes. The proposed Channel-based Binary Encoding Technique is constructed the secured data transmission in Wireless Sensor Networks. A split encoding and decoding procedure discover the syntax components in the regions. As a result, compression of data attribution is a necessary constraint. Related methods like probabilistic node mark methodologies include tall inaccuracy ratios in provenance-recovery. In this paper, the proposed method has the problem and proposes a distributed proposed methodology that achieves a compression ratio higher than that of existing techniques. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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