Title: Computation on scheduling attacks and optimal resource utilisation in wireless sensor networks via optimisation techniques

Authors: S. Narasimha Prasad; K. Senthamil Selvan; B. Lakshmi Dhevi; A. Niranjil Kumar

Addresses: Department of Electronics and Communication Engineering, Dhanalakshmi College of Engineering, Anna University, Chennai, Tamil Nadu, India ' Department of Electronics and Communication Engineering, Prince Shri Venkateshwara Padmavathy Engineering College, Chennai, Tamil Nadu, India ' Institute of Artificial Intelligence and Machine Learning, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India ' Department of Electronics and Communication Engineering, Dhanalakshmi College of Engineering, Chennai, Tamil Nadu, India

Abstract: Security issues of wireless sensor nodes for classifying sensory data and its accuracy needed to prevent wastage of sensor resources. The limitation occurs due to processing of small-scale samples in training or data imbalance, which occurs due to nodal density. In this context, pre-processing of sensor data to overcome scheduling attacks considered with two algorithms is proposed. The first is 'Time Stamp Reordering for Scheduling Attack' (TSRSA) and the second is 'Energy Efficiency based Routing using Simulated Annealing' (EERSA). The former is susceptible to scheduling attacks, whereas the later alleviate this by using simulated annealing. EERSA method provides optimal moves as data traverses using energy bound values, time-bound transitions using propagation delay and offset values. The simulation of both developed protocols measured and compared for misalignment ratio and consolidated residual energy.

Keywords: scheduling attacks; misalignment ratio; resource utilisation.

DOI: 10.1504/IJIPT.2023.133026

International Journal of Internet Protocol Technology, 2023 Vol.16 No.3, pp.131 - 137

Received: 20 Feb 2022
Accepted: 19 Jun 2022
Published online: 25 Aug 2023 *

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