Simulation for spatial convergence on structure free data aggregation in wireless sensor network

Data aggregation is known as the collection of data from a set of sensors toward a sink node with routing algorithms. For that, many structured protocols used for aggregation and forwarding packets. Since, sensor nodes are less battery powered devices, its maximum energy spent for constructing certain topologies. There are number of prior works based on tree-based or cluster-based, grid based and chain based structured approaches. Though structured based approaches are appropriate for data collecting applications, but still they suffers high maintenance problem while using dynamic sensor node scenarios. The mission of our work is to design the well suited aggregation method and proposed the protocol as structure free data aggregation (SFDA) that lead to efficient energy consumption based data aggregation without explicit maintenance of a construction of network environment. By exploiting the interaction among the sensor nodes, packets are fused which can reduce the amount of data traffic that excel with robustness. This approach helps in increasing the packet delivery ratio and reduces delay with control packet overheads which in turn reduces the energy consumption in a sensor network. Simulation results of the proposed work were analyzed and compared with the existing works. The SFDA has an average difference of 1.22% higher packet delivery ratio when compared to the existing approach and 2.92 % against the grid approach. The significant difference in the results proved that the proposed SFDA was more reliable at higher mobility scenarios with its performance metrics.