Secure Data Aggregation Using Fussy Logic in Cluster-Based Wireless Sensor

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Provided by: International Journal of Engineering Sciences & Research Technology (IJESRT)
Topic: Data Management
Format: PDF
Recent advances in Wireless Sensor Network (WSN) have led to many new promising application including monitoring and target tracking. However data communication between nodes consumes a large portion of energy consumption of WSN. Data aggregation can help to reduce the energy consumption by eliminating redundant data travelling back to base station. In order to provide integrity and to overcome from communication overhead, the authors propose data aggregation technique using fussy logic. In phase 1 In its first phase, it performs clustering and cluster head selection process. In phase 2 they do the distance estimation. In phase 3 fuzzy logic technique was used to select the secure node members for data aggregation.
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