Induced Redundancy Based Lossy Data Compression Algorithm
A Wireless Sensor Network (WSN) is an increasingly important mechanism for enabling continuous monitoring and sensing of physical variables like temperature, humidity etc. The tiny sensor nodes are powered by low capacity batteries. As the WSNs are usually deployed in remote areas, battery replacement becomes difficult. To minimize the power consumption in WSN, the data compression schemes play a vital role. If applied appropriately, these data compression schemes can result in drastic increase in the lifetime of the network. In this paper, the authors present a scheme called Induced Redundancy based Lossy Data Compression Algorithm, (IR-LDCA), which is best suited for WSNs that sense data with higher correlation.