A New Lossless Compression Scheme for WSNs Using RLE Algorithm

The most valuable resource in Wireless Sensors Networks (WSNs) is power consumption since it directly influences the lifetime of micro-sensors. So, there are several techniques have been proposed to solve this issue, such as routing protocol (energy-efficient medium access control (MAC)) and routing methods. Recently, compression techniques are used to reduce the size of transmitted data (less storage cost) and transmission time (less bandwidth needed) over wireless channels, which is the main power consumer in wireless sensor networks. In this paper, a new lossless compression scheme for Wireless Sensor Networks (WSNs) is proposed. It built on the nature of the data we dropped from a real-world deployment (Sensorscope project), which take into account the integer and the float part of the samples and compressed them separately using different methods. Our method overcomes many traditional algorithms, and it performed 90% and 79% better in term of compression ratio for Temperature and Relative Humidity, respectively.