Abstract
Wireless Sensor Network (WSN) encompasses several tiny devices termed as Sensor Nodes (SN) that have restriction in resources with lower energy, memory, together with computation. Data Aggregation (DA) is required to optimize WSN for secured data transmission at Cluster Head (CH) together with Base Station (BS). With regard to the Energy Efficiency (EE) along with the privacy conservation requirements of WSN in big-data processing and aggregation, this paper proposed Diversity centered Adaptive Moth-Flame Optimization (DAMFO) for Optimal Path Selection (OPS) and DA in WSN. In the proposed work, initially, the Trust Evaluation (TE) process is performed. The Pompeiu Distance-centered Fuzzy C-Means (PDFCM) is employed for Cluster Formation (CF) in addition to Cluster Head Selection (CHS) and then DAMFO algorithm chooses the optimal path to gather the data together with cluster centroids. The DHECC algorithm then generates keys and encrypts the aggregated data. The encrypted data is finally passed on to the BS. The experimentation outcomes exhibited that the proposed algorithm outweighs the traditional methods with respect to Energy Consumption (EC) 6.35 J, Packet Delivery Ratio (PDR) of 93%, Throughput of 0.956 bps, end-to-end delay 6.547 s, together with a lifetime of networks. Additionally, the proposed system exhibits the best Security Level (SL) of 94.2% amid the transmission.
Highlights
Sensor networks are being utilized in several everyday applications recently
With regard to the Energy Efficiency (EE) along with the privacy conservation requirements of Wireless Sensor Network (WSN) in big-data processing and aggregation, this paper proposed Diversity centered Adaptive Moth-Flame Optimization (DAMFO) for Optimal Path Selection (OPS) and Data Aggregation (DA) in WSN
This section contrasts the results shown by the proposed DA and encryption frameworks and the existing algorithms with respect of some measures mainly for analyzing the proposed work’s performance efficiency, which is explicated below
Summary
Sensor networks are being utilized in several everyday applications recently. these WSN [1,2] are made of SN that encompasses lower battery power, minimal computing capacity, together with restricted memory aimed at data storage. Elliptic Curve Cryptography (ECC) is utilized for its ability to render high security with short key size [19] to trounce the conventional encryption schemes’ complexity concerning storage space in WSN. An effectual trust-centered CH selection for safe DA and Modified ECC centered cryptography for safe data transmission in WSN is proposed. This trust mechanism discovers the MN as of the SN group in WSN, which aids to secure the DA, and MECC encrypts the amassed data and sent it to the BS that aids in preventing the data as of illegal access.
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