IJFANS International Journal of Food and Nutritional Sciences
ISSN PRINT 2319 1775 Online 2320-7876
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Effect of Biostimulants (Azospirillum, Pseudomonas and Bacillus) on the growth and disease suppression of neem Azadirachta indica (A) juss.seedlings
Volume 13 | Issue 4
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“Pigments of Imagination & Color Psychology of Consumers towards Apparel: A Perceptual Study”
Volume 13 | Issue 4
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Exploring The Relationship Between Weather Patterns and Energy Consumption in Smart Homes: A Regression Analysis
Volume 13 | Issue 4
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DEEP LEARNING BASED APPROACH FOR BIRD SPECIES IDENTIFICATION AND CLASSIFICATION
Volume 13 | Issue 4
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ML-DRIVEN WASTE CLASSIFICATION FOR EFFECTIVE ORGANIC AND NON-ORGANIC WASTE MANAGEMENT
Volume 13 | Issue 4
ENERGY EFFICIENT MOTH FLAME OPTIMIZATION ALGORITHM FOR WIRELESS SENSOR NETWORK
Main Article Content
Abstract
Sensor Nodes play a vital role in wireless sensor networks (WSN). Routing protocols helps to enhance the lifespan and energy efficiency of battery powered sensor nodes. In wireless sensor network similar nodes are grouped to form clusters. Moth flame optimization algorithm is used for selecting the cluster head. MFO algorithm helps to solve the complex real-world problems. In this paper, we propose Moth flame optimization algorithm for Wireless sensor network. This paper presents the steps to form the clustering network in WSN and the transmission strategy.
