Consolidate Data Collecting Based On Even Clustering For Wireless Sensor Networks

Consolidate data gathering (CDG) based on compressed sensing (CS) theory for wireless sensor networks (WSNs) greatly reduces the amount of data transmitted compared with the traditional acquisition method that each node forwards the aggregate data directly to the next node. The method of inconstantly selecting projection nodes as cluster heads to collect the weighted sum of sensor nodes outperforms the non-CS (without using CS) and hybrid-CS (applying CS only to relay nodes that are overloaded) schemes in decreasing the transmission cost and distributing the energy consumption loads. However, the irregular selection of projection nodes causes the overall energy consumption of the network to be unstable and unbalanced. In this paper, we offer two compressive data gathering methods of balanced projection nodes. For WSN with constant distribution of nodes, an even clustering method based on spatial locations is proposed to distribute the projection nodes evenly and balance the network energy consumption. For WSN with unsteadily distributed nodes, an even clustering method based on node density is proposed, taking into account the location and density of nodes together, balancing the network energy and prolonging the network lifetime.