A secure energy efficient event determination algorithm for underwater wireless sensor networks

Indulekshmi S. Kaimal and G.S. Binu

International Journal of Networking and Virtual Organisations, 2021, vol. 25, issue 1, 48-61

Abstract: Effective routing in underwater sensor networks (UWSNs) is a highly demanding task because of the weak radio channels in water and the changing topology of sensors that manoeuvre indifferently with water. Energy efficient derivative-based prediction (DBP) approach has been proposed to reduce the amount of messages required for transferring the data samples from a wireless sensor node to a base station. However, predicting sensor data is not effortless for underwater channels as they are prone to wormholes attack due to the inconsistent propagation delays. In this paper, an enhanced empirical data predicting method that not only predicts sensor data but also the topographical movements of the sensor nodes is presented. Further, a security aware locally restrained algorithm RDV-HOP is proposed to assess the influence of paths to other broadcaster nodes and to transmit the collected information to the network. The Advanced Encryption Standard (AES) algorithm is used to protect the confidentiality of data. The proposed method demonstrates a significant benefit in managing the dynamic networks with better energy efficiency even with extensive number of attackers. Extensive simulations were performed with variable number of wormhole attackers and the results show higher packet delivery ratio with reduced delay.

Keywords: underwater wireless sensor network; derivative-based prediction; DBP; depth-based routing; DBR; encryption; prevention. (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=117755 (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:ijnvor:v:25:y:2021:i:1:p:48-61

Access Statistics for this article

More articles in International Journal of Networking and Virtual Organisations from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().