Open Access

ARTICLE

Cellular Automata Based Energy Efficient Approach for Improving Security in IOT

by P. Hemalatha^1,*, K. Dhanalakshmi²

1 Department of Computer Science and Engineering, IFET College of Engineering, Villupuram, Tamilnadu, India
2 Department of Computer Science and Engineering, PSNA College of Engineering and Technology, Dindigul, Tamilnadu, India

* Corresponding Author: P. Hemalatha. Email:

Intelligent Automation & Soft Computing 2022, 32(2), 811-825. https://doi.org/10.32604/iasc.2022.020973

Received 17 June 2021; Accepted 20 July 2021; Issue published 17 November 2021

Abstract

Wireless sensor networks (WSNs) develop IoT (Internet of Things) that carry out an important part and include low-cost intelligent devices to gather information. However, these modern accessories have limitations concerning calculation, time taken for processing, storage capacity, and vitality sources. In addition to such restrictions, the foremost primary challenge for sensor networks is achieving reliable data transfer with the secured transmission in a hostile ambience containing vulnerable nodes. The proposed work initially analyses the relation between deployment configuration, lifetime of the deployed network, and transmission delay with this motivation. Besides, it also introduces a new cellular automata-based scheme for improving the security of the network. Each device has a unique id based on its properties (or random number with timestamp). While initializing the communication, they will broadcast their id to all neighbour nodes; to pair with other nodes, they should exchange their unique id. The main advantage of this work is the infinitive states’ existence, i.e., the encoded codes generated by cellular automata are infinite. Besides, a modern approach named Fast Particle Swarm Optimization is used to collect data for nodes ar away from the sink and slow data collection for nodes Close to the Sink (FPSO-FSC). Hence the proposed energy-efficient method reduces the end-to-end delay. Comparison studies report that the performance of FPSO-FSC outperforms the previously proposed methods.

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Citations