Secure cluster-based data aggregation in wireless sensor networks with aid of ECC

C. SriVenkateswaran and D. Sivakumar

International Journal of Business Information Systems, 2019, vol. 31, issue 2, 153-169

Abstract: In WSN, to overcome the energy consumption issue, some of the researchers used cluster head-based approach to send the data to the sink node. In this paper, we have presented the approach for cluster head selection for data aggregation in wireless sensor network. For clustering the node, hybrid k means and fuzzy c-means clustering algorithm is used. Then we select the cluster head from each cluster. Every node in the wireless sensor network sends their sensed data to the cluster head. The data aggregation is done in the cluster head. Finally base station is received the data from one cluster head, in order to reduce the transmission time here the proposed method is remove the duplicate data and then secure transmission is done by elliptic curve cryptography (ECC). The performance of the proposed technique is evaluated by overall running time and also the encryption and decryption time.

Keywords: data aggregation; wireless sensor network; WSN; k means clustering; fuzzy c-means clustering; elliptic curve cryptography; ECC. (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.inderscience.com/link.php?id=100277 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbisy:v:31:y:2019:i:2:p:153-169

Access Statistics for this article

More articles in International Journal of Business Information Systems from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().