Lifetime Optimized Methods of Correlated Data Gathering on Sensor Networks

This paper presented two methods of correlated data gathering on sensor networks, LOMFC and LOMSC, based on two types of correlation model, foreign-coding and self-coding. The goal of the methods is to maximize the lifetime of the network. They perform a series of adjustments over a built data gathering topology and improved the lifetime of the network. The methods in this paper overcame the energy consumption imbalance of some previous methods of correlated data gathering and are highly distributed. The stimulations proved that the two methods outperform previous algorithms in lifetime and are always reliable.