Data Security in WSN-Based Internet of Things Architecture Using LDS Algorithm

Author:

Tharakan Linoy A.1,Dhanasekaran R. 2,Suresh A. 2

Affiliation:

1. Mar Thoma Institute of IT, India

2. Syed Ammal Engineering College, India

Abstract

The possibility of internet of things (IoT) was produced in parallel to WSNs. The term IoT was formulated by Kevin Ashton in 1999 and alludes to remarkably identifies items and their virtual portrayals in a “internet like” structure. While IoT does not accept a specific communication approach, wireless data transfer will assume a noteworthy part, and specifically, WSNs will multiply numerous applications. The small, cheap, and low-powered WSN sensors will bring the IoT to even the smallest items introduced in any sort of condition at sensible expenses. There are several methods and tactics for distributed IoT systems to prevent security attacks or contain the extent of damage of such attacks. Many of these deserve significant computational, communication, and storage requirements, which often cannot be contented by resource-constrained sensor nodes. This chapter proposes a WSN architecture with energy-efficient communication with secure data packets with a proposed LDS (Lino-Dhanasekaran, Suresh) algorithm which is useful in IoT applications.

Publisher

IGI Global

Reference39 articles.

1. An Efficient Energy,Coverage and Connectivity Algorithm for Wireless Sensor Networks;D. G.Anand;International Journal of Computers and Applications,2012

2. Energy conservation in wireless sensor networks: A survey

3. A Survey On Security Mechanisms And Attacks In Wireless Sensor Networks;G. A. A.Anser;Contemporary Engineering Sciences,2014

4. Bajwa, W., Haupt, J., Sayeed, A., & Nowak, R. (2006). Compressive Wireless Sensing. Proceedings of Information Processing in Sensor Networks, 134-142.

5. Energy-aware lossless data compression

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