ASLPP-RR Routing Based on Improved IDAF-FIT Clustering with Secure Data Aggregation in Wireless Sensor Network
Megha Garg, Yakesh Dogra - · 2023
Wireless Sensor Network (WSN) technology has recently emerged as a critical component for monitoring and tracking tasks across a variety of application domains. The most difficult problem now is developing a power-efficient data collection technique. This is due to the fact that each sensor node in the network only has a certain amount of power resources. Clustering is used to improve power efficiency, network connectivity, and delay minimization. Therefore, because of data aggregation and cluster head selection, approaches base on clustering for information collection assume an essential part as far as power-saving and expanding the lifetime of the network. The IDAF- FIT (Fuzzy and Distributed Autonomous Fashion Integration The algorithm (If-then Rules) is suggested for clustering in this suggested approach, and in the interim, the Cluster kind of Head is also chosen. The routing concept is then started in order to transfer the packet from the source to the target node by selecting the best route. ASLPP-RR, Routing is suggested using an adaptive source location privacy preservation method. in this context. Additionally, Using Secure Data Aggregation based on Principle Component Analysis and integrity are preserved (SDA-PCA) technique. Finally, a thorough analysis of the security of sensitive data yields results that are superior to those of the current methods. The total performance of the suggested approach is described as a 20% increase in packet delivery ratio, a 15% decrease in packet dropping ratio, an 18% increase in residual power, a 22% increase in network lifespan, and a 16% decrease in power consumption when compared to existing.