An Improved IDAF-FIT Clustering Based ASLPP-RR Routing with Secure Data Aggregation in Wireless Sensor Network
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An Improved IDAF-FIT Clustering Based ASLPP-RR Routing with Secure Data Aggregation in Wireless Sensor Network M. Vasim Babu 1 & Jafar A. Alzubi 2 Deepak Gupta 6
&
Ramesh Sekaran 3 & Rizwan Patan 4 & Manikandan Ramachandran 5 &
Accepted: 23 September 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract In recent years, Wireless Sensor Network (WSN) became a key technology for monitoring and tracking applications in a wide application range. Still, an energy-efficient data gathering protocol has become the most challenging issue. This is because each sensor node in the network is equipped with limited energy resources. To achieve better energy efficiency, better network communication, and minimized delay, clustering is introduced. Therefore, the clustering-based techniques for data gathering play a vital role in terms of energy-saving and increasing the lifetime of the network due to cluster head election and data aggregation. In this proposed methodology, the Integration of Distributed Autonomous Fashion with Fuzzy If-then Rules (IDAFFIT) algorithm is proposed for clustering, and also the Cluster Head (CH) is elected in the meanwhile. After that, to transmit the packet from source to the destination node by choosing an optimal path, the routing concept is initiated. For this purpose, an Adaptive Source Location Privacy Preservation Technique using Randomized Routes (ASLPP-RR) is presented for routing. Also, Secure Data Aggregation based on Principle Component Analysis (SDA-PCA) algorithm is performed with end-to-end confidentiality and integrity. Finally, the security of confidential data is analyzed properly to obtain a better result than the existing approaches. The overall performance of the proposed methodology when compared with existing is expressed in terms of 20% higher packet delivery ratio, 15% lower packet dropping ratio, 18% higher residual energy, 22% higher network lifetime, and 16% lower energy consumption. Keywords Wireless Sensor Network (WSN) . Clustering . Energy efficiency . Routing . Data aggregation . Secure data . Network lifetime
1 Introduction Wireless Sensor Network (WSN) deploys multiple small, low powered sensing units known as sensor nodes and a Base Station (BS) [1]. Usually, the sensor nodes have some main * Jafar A. Alzubi [email protected]
capabilities such as mobilizing, computing, sensing, and data communication. One of the major issues in WSN is network lifetime and energy consumption. Multiple clustering approaches are adapted into WSN to tackle the power consumption issue. Routing is more responsible for establishing low 1
Department of Electronics and Communication Engineering, KKR & KSR Institute of Technology & Sciences (KITS), Guntur, Andhra Pradesh, India
2
Engineering Faculty, Al-Balqa Applied University, 19117 Salt, Jordan
Ramesh Sekaran [email protected]
3
Department of Information Technology, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, India
Rizwan Patan [email protected]
4
Department of Compute
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