Research Repository

E2DA: Energy Efficient Data Aggregation and End-to-End Security in 3D Reconfigurable WSN

Ramasamy, Karthick and Anisi, Mohammad Hossein and Jindal, Anish (2022) 'E2DA: Energy Efficient Data Aggregation and End-to-End Security in 3D Reconfigurable WSN.' IEEE Transactions on Green Communications and Networking, 6 (2). pp. 787-798. ISSN 2473-2400

E2DA.pdf - Accepted Version

Download (1MB) | Preview


This paper deals with energy consumption and security limitations in the reconfigurable WSN’s in order to improve the network lifetime with end-to-end data privacy. The network consists set of nodes placed in distributed environment such that each node performs a reconfiguration task to support users requirements. We proposed novel solutions that improved network lifetime through efficient reconfigurable routing and less network traffic. We proposed an in-network task to eliminate duplicate packets at the node level using hashing distance computation (HDC). Further, we introduced power-efficient reconfigurable cell-by-cell golden sector-based emperor penguin colony (CbC GSEPC) for trust-based routing. In terms of data confidentiality in the energy-constrained environment, a lightweight key expandable cryptography method was proposed for end-to-end confidentiality. Additionally, a reading-based dual validation (RbDV) audits the information at sink level for intrusion detection and isolates suspicion nodes. The proposed and existing works simulated with NS-3.26 and the results show that the proposed work’s average energy consumption is 5.82% lower than the existing 2D-WSN while offering end-to-end confidentiality and node reconfiguration opportunity.

Item Type: Article
Uncontrolled Keywords: 3D Grid WSN; Encryption; Data Deduplication; Dual validation; Data Aggregation; End-to-End Security
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 12 Nov 2021 10:31
Last Modified: 07 Jun 2022 15:41

Actions (login required)

View Item View Item