An Energy-Aware Model for Wireless Sensor Networks: Hierarchical Compressive Data Gathering for Hierarchical Grid-Based Routing (HCDG-HGR)

In wireless sensor networks compressive sensing (CS) is an effective alternative technique for traditional data gathering methods which affect the energy consumption by decreasing the whole number and length of data packets transmitted to the sink node. Due to using CS technique in hierarchical routing methods further reduction of energy consumption is achieved. In this work, an energy-aware CS-based data gathering model for hierarchical grid-based routing methods named HCDG-HGR is presented. In this model, a CS-based method is put into the WSN in which routing is performed based on hierarchical routing methods. In this model, network energy consumption is analyzed and practical relationships are formulated to calculate energy consumption of the network at the end of each sampling period. Simulation results confirm that the model effectively reduces the network energy consumption and thus increases the network lifetime with regard to the number of network alive nodes at the end of sampling periods.