Genetically derived secure cluster‐based data aggregation in wireless sensor networks. Issue 1 (1st January 2014)

• Record Type: Journal Article
• Authors: Bhasker, Lathies
• Is Part Of: IET information security. Volume 8:Issue 1(2014)
• Page Start: 1
• Page End: 7
• Publication Date: 2014-01-01
• Subjects: cryptography -- data integrity -- genetic algorithms -- pattern clustering -- telecommunication security -- wireless sensor networks; transmission overhead reduction -- data security -- energy consumption -- data integrity -- data encryption technique -- genetic algorithm -- clustering process -- node connectivity -- cluster heads -- data confidentiality -- data authentication -- secured data transmission -- WSN -- wireless sensor networks -- genetically derived secure cluster‐based data aggregation technique; Computer security -- Periodicals; Cryptography -- Periodicals; Computer networks -- Security measures -- Periodicals; Database security -- Periodicals; 005.8
• DOI: 10.1049/iet-ifs.2013.0133
• Languages: English
• ISSNs: 1751-8709

Abstract

Abstract : In wireless sensor networks (WSNs), the current cluster‐based data aggregation technique consumes more energy. Also the secured data transmission are vital for enhancing the data authentication and confidentiality. In order to overcome these issues, in this study, the authors propose a genetically derived secure cluster‐based data aggregation in WSN. Initially the cluster heads are selected based on the node connectivity, which acts as a data aggregator. Then, the clustering process is executed using the genetic algorithm. When a cluster member wants to transmit the data to aggregator, a data encryption technique are utilised that offers authenticity, confidentiality and integrity. By simulation results, the authors show that the proposed technique minimises the energy consumption, ensures data security and reduces the transmission overhead.