A Proposed Method for Data Size Reduction in WSN: Optimizing Humidity, Temperature, and Pressure Sensing

The utilizing of Wireless Sensor Network (WSN) for collecting data of humidity, temperature, and pressure is important to avoid natural disasters. However, the using of WSN has many challenges which are represented by node energy and power consumption as well node throughput. This study proposes a scheme to improve node life time and node throughput. The proposed scheme is coding the sensed data in a way that making an efficient compression by Huffman coding. The using of the proposed scheme with Huffman algorithm optimizes humidity, temperature, and pressure transmitted data over WSN, which produces efficient energy and power consumption as well node throughput. The testing result shows that the proposed scheme enhances network life time and network performance.