Energy aware bottleneck nodes avoidance data gathering tree for wireless sensor networks

Efficient data gathering via a heterogeneous wireless sensor network (WSN) is a challenging research area due to the limited energy of the battery used inside the tiny sensor nodes. This paper proposes a novel tree-structure based data gathering technique for WSNs called Energy aware Bottleneck-nodes Avoidance Data Gathering (EBADG) tree minimizing energy wastage to ensure maximum utilization of each node energy before terminating the exploration process under the network. Theoretical analysis and simulation results confirm the superior performance of the proposed EBA-DG over an existing data gathering treebased algorithm.