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

机译:无线传感器网络中结构自由数据聚集的空间收敛模拟

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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.
机译:数据聚合被称为来自一组传感器的数据集合,朝向带路由算法的宿节点。为此,许多用于聚合和转发数据包的结构化协议。由于传感器节点较少的电池供电设备,其最大能量用于构建某些拓扑。基于树的基于树或基于群集的基于网格和基于链的结构方法,有数量的现有作品。虽然基于结构的方法适用于数据收集应用,但仍然在使用动态传感器节点方案时仍然存在高维护问题。我们的工作使命是设计良好的聚合方法,并提出了该协议作为结构自由数据聚合(SFDA),其导致基于能量消耗的数据聚合,而无明确维护网络环境的构建。通过利用传感器节点之间的交互,数据包被融合,可以减少以稳健性为Excel的数据流量量。该方法有助于增加分组传递比率并减少控制分组开销的延迟,这反过来又降低了传感器网络中的能量消耗。分析了拟议工作的仿真结果,并与现有工程进行了比较。与现有方法相比,SFDA的平均差异为1.22%,较高的数据包交付比率和2.92%逆网格方法。结果的显着差异证明,拟议的SFDA在较高的流动性方案中更可靠,具有其性能指标。

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