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Modified Data Aggregation & Compression Approach for Homogeneous and Heterogeneous Protocols in Wireless Sensor Network

机译:无线传感器网络中异构协议的改进的数据聚合与压缩方法

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In the application based wireless sensor networks (WSN) situation, energy and bandwidth of the sensors are valued resources and essential to consume proficiently. Data aggregation at the base station(BS) by individual nodes causes flooding of the data which consequences in maximum power utilization. To diminish this problem a new data aggregation technique has been proposed in this paper which has improved the performance of the low energy adaptive clustering hierarchy (LEACH) and stable election protocol (SEP) by using the intercluster based data aggregation also called hybrid data aggregation method, where grouping of nodes has been done on the basis of the available clustering techniques and grouping of cluster heads(CHs) is also done to utilize the features to inter cluster data aggregation. The proposed algorithm helps to reduce the energy consumption problem, aggregates and transmit the data in efficient manner. In addition, the additive and divisible data aggregation function has been used by the proposed technique at relay node and BS to minimize the power consumption and also controls flooding at BS. LempelZivWelch ( LZW) based data aggregation is also applied on the relay node to enhance the results further.
机译:在基于应用程序的无线传感器网络(WSN)的情况下,传感器的能量和带宽是宝贵的资源,对于有效消耗至关重要。各个节点在基站(BS)的数据聚合会导致数据泛洪,从而导致最大的功率利用率。为了解决这个问题,本文提出了一种新的数据聚合技术,该技术通过使用基于集群间的数据聚合(也称为混合数据聚合方法)提高了低能耗自适应聚类层次结构(LEACH)和稳定选举协议(SEP)的性能。 ,其中已经根据可用的群集技术对节点进行了分组,并且对群集头(CH)进行了分组,以利用这些功能在群集间进行数据聚合。所提出的算法有助于减少能耗问题,以有效的方式汇总和传输数据。另外,所提出的技术已经在中继节点和BS处使用了累加和可整除的数据聚合功能以最小化功率消耗并且还控制BS处的泛洪。基于LempelZivWelch(LZW)的数据聚合也应用于中继节点,以进一步增强结果。

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