Reliable Transmission Design for Wireless Sensor Network Using AI-ACO Approach

Apprehensions about extending the life of Wireless Sensor networks (WSN) have prompted researchers to find a solution. To resolve this problem, a suitable networkevaluated transmission design must be in place. A Number of plans based on numerous methodological optimization algorithms have been in fo...

Full description

Saved in:

Bibliographic Details
Published in:	2023 3rd International conference on Artificial Intelligence and Signal Processing (AISP) pp. 1 - 4
Main Authors:	Lingamaiah, D, Krishna Reddy, D, Kumar. P, P Naveen
Format:	Conference Proceeding
Language:	English
Published:	IEEE 18-03-2023
Subjects:	ACO Energy consumption Heuristic Information Life expectancy Network Evaluation Optimum Path Pheromone Intensity Power supplies Reliability engineering Signal processing Signal processing algorithms Stability analysis Transmission Probability Wireless sensor networks WSN
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	Apprehensions about extending the life of Wireless Sensor networks (WSN) have prompted researchers to find a solution. To resolve this problem, a suitable networkevaluated transmission design must be in place. A Number of plans based on numerous methodological optimization algorithms have been in force but, still, challenges persist. Three parameters viz., energy efficacy, energy stability, and energy attenuation minimization are of great concern as far as network life expectancy is concerned and this paper evaluates the network with respect to these parameters, such as to arrive at an optimum path whereby an increase in network life expectancy in wireless sensor networks is possible. It has been proposed in the literature to use ''artificial ants'' and their intelligence in ACO (Ant Colony optimization) to find optimized paths. This optimization methodology uses heuristic information, pheromone intensity, and its updates to construct an energy optimized path that in turn gives increased network life expectancy. This design and evaluation are used in this work but, with a different nodal deployment strategy and network configuration. The developed work is proposed to be applied to an IOT platform.
ISSN:	2640-5768
DOI:	10.1109/AISP57993.2023.10134892