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In this paper a packet level simulator is used to explore the performance ofthe proposed DLMT and CLMT algorithms under various traffic conditions.Performance of the proposed algorithms is compared with already existing E-Spantree structure. These proposed algorithms tend to extend the node lifetime inorder to increase the amount of information gathered by the tree root.Decentralized lifetime maximizing tree (DLMT) features in nodes with higherenergy to be chosen as data aggregating parents while Centralized LifetimeMaximizing Tree (CLMT) features with the identification of the bottleneck nodeto collect data in a central manner among given set of nodes. By choosingForwarded Diffusion as our underlying routing platform the simulations arecarried on J-Sim. Our simulation results have shown that the functionallifetime of event sources can be enhanced by a maximum of 147% when data isaggregated via DLMT and by 139% when data is aggregated via CLMT. Our proposedDLMT algorithm has shown maximum of 13% additional lifetime saving withoutincreasing the delay. Packet delivery ratio has also shown a remarkableincrease when the tree depth is considered in these proposed tree structures.Furthermore, the delay is also reduced by using DLMT & CLMT in comparison withE-Span.

Performance Comparison of Proposed Lifetime Maximizing Trees for Data Aggregation in Wireless Sensor Networks