DAMFO-Based Optimal Path Selection and Data Aggregation in WSN

Wireless Sensor Network (WSN) encompasses several tiny devices termed as Nodes (SN) that have restriction in resources with lower energy, memory, together computation. Data Aggregation (DA) is required to optimize WSN for secured data transmission at Cluster Head (CH) Base Station (BS). With regard the Energy Efficiency (EE) along privacy conservation requirements of big-data processing and aggregation, this paper proposed Diversity centered Adaptive Moth-Flame Optimization (DAMFO) Optimal Path Selection (OPS) DA WSN. In work, initially, Trust Evaluation (TE) process performed. The Pompeiu Distance-centered Fuzzy C-Means (PDFCM) employed Formation (CF) addition (CHS) then DAMFO algorithm chooses optimal path gather cluster centroids. DHECC generates keys encrypts aggregated data. encrypted finally passed on BS. experimentation outcomes exhibited outweighs traditional methods respect Consumption (EC) 6.35 J, Packet Delivery Ratio (PDR) 93%, Throughput 0.956 bps, end-to-end delay 6.547 s, a lifetime networks. Additionally, system exhibits best Security Level (SL) 94.2% amid transmission.