Correlation region and node selection identification for redundant WSNs: Merging spatio-temporal correlation based-location with distortion effects

This paper presents the modified perspective for analysis of wireless sensor network correlation regions and representative nodes. In order to achieve distortion-tolerant communication, the methodology is based on the spatio-temporal correlation regarding distortion effects due to surrounding environments. Several sensor nodes observing data are selected regarding the random changes of propagation paths at each different observation time. Simulation results present that distortion effects at each observation time cause different correlation regions and the representative nodes. The closed forms of computational efforts based 1-D/2-D distributive sensor network are also proposed.