An Energy based Data Gathering Approach for Wireless Sensor Networks

In Wireless Sensor Networks (WSNs), sensor nodes are organized in a random manner. These sensor nodes are mainly deployed in physical environment to gather data and deliver the data to the destination wherever requires. Sensor nodes have limited computational capability, limited bandwidth, energy source and memory. The main challenge in data gathering is to maximize the network lifetime and the given energy constraints of sensor nodes. If energy consumption per node can be balanced as well, a near optimal data gathering and routing scheme can be achieved in terms of network lifetime. We have proposed the algorithm called Energy based Data Gathering Approach (EDGA) to make the correct balance between the three factors like residual energy, distance and data gathering ratio. By simulation results we have shown that the EDGA achieves good throughput, high network lifetime, high residual energy while attaining low delay than the existing schemes LEACH and EBRP.