Title: SMNBMQR: optimisation of sleep schedules in multimedia networks via bioinspired modelling for QoS-aware routing operations

Authors: Minaxi Doorwar; P. Malathi

Addresses: D.Y. Patil College of Engineering, Nigdi Pradhikaran, Akurdi, Pune, India ' D.Y. Patil College of Engineering, Nigdi Pradhikaran, Akurdi, Pune, India

Abstract: In this paper, a bioinspired model for sleep-scheduled multimedia networks is suggested in order to increase this scalability while preserving superior routing performance. The proposed model uses instantaneous node metrics such as node-to-node distance, residual energy levels, and connection quality to create initial routes. For the assessment of route fitness, these variables are paired with temporal performance measurements such as packet delivery ratio, throughput, packet priority, and temporal connection quality. In order to find the best route between a given pair of source and destination nodes, several routing options are assessed using a genetic algorithm (GA) model based on fitness value. The suggested approach is able to decrease end-to-end communication latency, energy consumption, and delay jitter because it incorporates temporal performance indicators with sleep scheduling. Additionally, when we compared several state-of-the-art methods, the suggested model can enhance network throughput and packet delivery performance.

Keywords: multimedia; bioinspired computing routing; sleep scheduling; lifetime; genetic algorithm.

DOI: 10.1504/IJNVO.2023.134994

International Journal of Networking and Virtual Organisations, 2023 Vol.29 No.2, pp.211 - 228

Received: 31 Jan 2023
Accepted: 17 Sep 2023

Published online: 23 Nov 2023 *

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