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Channel-Based Encrypted Binary Arithmetic Coding in Wireless Sensor Networks
Author(s) -
Balaji Subramanian,
Harold Robinson,
Golden Enoch
Publication year - 2020
Publication title -
ingénierie des systèmes d information
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.161
H-Index - 8
eISSN - 2116-7125
pISSN - 1633-1311
DOI - 10.18280/isi.250207
Subject(s) - encryption , binary number , coding (social sciences) , computer science , arithmetic , channel (broadcasting) , wireless , binary code , variable length code , arithmetic coding , decoding methods , context adaptive binary arithmetic coding , telecommunications , mathematics , algorithm , computer network , data compression , statistics
Received: 22 November 2019 Accepted: 27 January 2020 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 provenancerecovery. 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.

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