Coverage Optimization using Fuzzy and Artificial Bee Colony Algorithm in Wireless Sensor Networks

Wireless Sensor Networks (WSNs) is very useful in our everyday life. Sensors are connected to various smart devices. The fuzzy rules are implemented into Artificial Bee Colony (ABC) Optimization, especially scout bees and ABC optimization has three kinds of bees, such as Employed, Onlooker and Scout...

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Bibliographic Details
Published in2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI) pp. 1 - 7
Main Authors Revathi, A., Santhi, S.G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 19.10.2023
Subjects
Artificial bee colony algorithm
Artificial Bee Colony Optimization
Computational intelligence
Coverage
Fuzzy
Intelligent sensors
Monitoring
Optimization
Smart devices
Wireless sensor networks
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Summary:Wireless Sensor Networks (WSNs) is very useful in our everyday life. Sensors are connected to various smart devices. The fuzzy rules are implemented into Artificial Bee Colony (ABC) Optimization, especially scout bees and ABC optimization has three kinds of bees, such as Employed, Onlooker and Scout bees. Employed bees sense the area coverage, onlooker bees are unemployed bees and find the food source and scout bees find the best sensors. In this proposed Fuzzy-based Artificial Bee Colony (FABC) Optimization is implemented in the coverage area. Fuzzy rules are deployed into the Scout bee and also used to find the best optimization.
DOI:10.1109/ICAEECI58247.2023.10370941