Title: Fuzzy logic-based optimisation of aloha protocol in wireless networks under different traffic loads

Authors: Ridhima Mehta

Addresses: School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India

Abstract: Random and decentralised channel access by hosts in the wireless broadcast network is highly susceptible to packet collisions, information loss and alleviated system throughput. The slotted Aloha method is a random multiple-access resolution protocol at the data link layer for data transmission across the shared communication path in synchronised way. In this paper, we propose a novel adaptive, throughput-efficient and fully-distributed slotted Aloha protocol based on the fuzzy logic design. Distinct network attributes are modelled using the multivariate fuzzy logic controller. The fuzzy inputs employed in the presented system include the propagation delay of wireless radio links, network size, and packet length. Moreover, the slot duration and the transmission rate constitute the two fuzzy outputs. Through extensive simulation experiments and analysis, the developed optimisation model is compared with the standard Aloha protocol under diverse traffic load distributions. The simulation results demonstrate the enhanced performance of the Aloha wireless network implemented with fuzzy decision-making over the conventional Aloha systems. The deployed performance parameters for comparative assessment incorporate the collision multiplicity, channel utilisation, collision rate, and throughput.

Keywords: fuzzy logic; membership function; slotted Aloha protocol; throughput.

DOI: 10.1504/IJAISC.2023.137354

International Journal of Artificial Intelligence and Soft Computing, 2023 Vol.8 No.1, pp.21 - 41

Accepted: 14 Dec 2023
Published online: 13 Mar 2024 *

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