Optimal Lifetime Aware Data Aggregation for WSNs using Optimization Techniques

摘要

Objectives: The goal of this work to identify the bloated state problem or increase of the agent size in the network. Methods/Findings: In this case, one of the mobile agent’s issues is Bloated State Problem (BSP) which resolved by the SLMADA protocol, but by using this solution will have an effect on the aggregation time and the lifetime of the MAs. In order to resolve this issue, we designed in this paper a proposal called (OLDA-WSN protocol). Three different algorithms are the components of the proposed protocol. The grouping optimization algorithm to form the clustering, in this way, reducing the energy consumption of the nodes. The aggregated node evaluated between all nodes of the network for that we have used the node selection algorithm. Application: Also, we have used the modified task scheduling algorithm to calculate the waiting time and aggregated delay. This will be reducing the time-bloated state problem. We have used NS2 software to simulate the proposed protocol. Through analysis, it turned out to us that the proposed protocol has improved a network lifetime, the performance of throughput and success ratio.