DMBRLE: A lossless compression algorithm for solar irradiance data acquisition

Roy, S. K.; Panja, Subhas Chandra; Patra, Sankar Narayan

doi:10.1109/retis.2015.7232921

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…A sensor LZW (S-LZW) algorithm [16] is an extension of a lossless data compression algorithm created by Abraham Lempel, Jacob Ziv, and Terry Welch (LZW) [17,18]. Capo-Chichi et al [19] and Roy et al [20] reported a concept of S-LZW that is a dictionary-based algorithm that is initialized by all standard characters of 255 ASCII codes. However, a new string in the input stream creates a new entry and results in the limitation of memory in a sensor node.…”

Section: Introductionmentioning

confidence: 99%

Differential Run-Length Encryption in Sensor Networks

Chianphatthanakit

Boonsongsrikul

Suppharangsan

2019

Sensors

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Energy is a main concern in the design and deployment of Wireless Sensor Networks because sensor nodes are constrained by limitations of battery, memory, and a processing unit. A number of techniques have been presented to solve this power problem. Among the proposed solutions, the data compression scheme is one that can be used to reduce the volume of data for transmission. This article presents a data compression algorithm called Differential Run Length Encryption (D-RLE) consisting of three steps. First, reading values are divided into groups by using a threshold of Chauvenet’s criterion. Second, each group is subdivided into subgroups whose consecutive member values are determined by a subtraction scheme under a K-RLE based threshold. Third, the member values are then encoded to binary based on our ad hoc scheme to compress the data. The experimental results show that the data rate savings by D-RLE can be up to 90 % and energy usage can be saved more than 90 % compared to data transmission without compression.

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