Energy Efficient Data Compression in Wireless Sensor Networks

In order for wireless sensor networks to exploit signal, signal data must be collected at a multitude of sensors and must be shared among the sensors. The vast sharing of data among the sensors contradicts the requirements (energy efficiency, low latency and high accuracy) of wireless networked sensor. This paper describes our design and implementation of the two lossless data compression algorithms integrated with the shortest path routing technique to reduce the raw data size and to accomplish optimal trade-off between rate, energy, and accuracy in a sensor network. To validate and evaluate our work, we apply it to different types of datasets from different real-world deployments and show that our approaches can reduce energy consumption over other data compression schemes based on simulations.