A New Deterministic Code Allocation Technique for Data Compression in Wireless Sensor Networks
H. Anwer Basha1, S. Arivalagan2, P. Sudhakar3, R.P. Narmadha4

1H. Anwer Basha, Research Scholar, Department of Computer Science, Annamalai University, Chennai (Tamil Nadu), India.
2S. Arivalagan, Assistant Professor, Department of Computer Science & Engineering, Annamalai University, Chennai (Tamil Nadu), India.
3P. Sudhakar, Assistant Professor, Department of Computer Science & Engineering, Annamalai University, Chennai (Tamil Nadu), India.
4R.P. Narmadha, Assistant Professor Senior Grade, Department of Computer Science & Engineering, Sri Shakthi Institute of Engineering & Technology, Chennai (Tamil Nadu), India.
Manuscript received on 07 February 2019 | Revised Manuscript received on 29 March 2019 | Manuscript Published on 28 April 2019 | PP: 80-86 | Volume-7 Issue-5C February 2019 | Retrieval Number: E10210275C19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Energy utilization is the huge conflict in modeling WSN because it has only inbuilt limited battery. To diminish the sum of data requires to be communicated, an efficient technique data compression is used prior to transmission. Since, there is lot of textual data that are available in WSN dataset, lossless compression method is desirable where the data loss is not preferable. This paper introduces a new deterministic code allocation (DCA) technique for effectively compresses the data. The DCA technique is a dictionary based, single character encoding scheme which uses a static dictionary for codeword allocation. The unique feature of DCA technique is the use of fixed 4-bit codewords for every character in the input sequence. As the nodes are constrained on computational resources, the proposed DCA technique is highly suitable because of its easier implementation. In addition, the DCA technique compresses the data with no loss of quality and it does not requires any extra information to be transmitted along with the compressed file. To verify the robustness and compression performance, an extensive experimental analysis is carried out using real time WSN dataset interms of various performance measures. The experimental results ensured that the DCA method obtains better compression performance with less computation complexity.
Keywords: WSN, Data Compression, Encoding, Energy Utilization.
Scope of the Article: Wireless ad hoc & Sensor Networks