Trust Based Energy Efficient Clustering Using Genetic Algorithm in Wireless Sensor Networks (TEECGA)

Provided by: International Journal of Computer Applications
Topic: Networking
Format: PDF
Wireless sensor networks are gaining lot of popularity because of its widespread applications. They consist of small sensor nodes that are low in battery and computational capability. Mostly these nodes are deployed in remote areas thus it's not easy to replace their batteries. In clustering process, clusters of the sensor nodes are formed. All the sensor nodes send the sensed data to their cluster heads and cluster heads forward the data to sink. Various techniques like fuzzy logic, neural networks, artificial intelligence and genetic algorithm etc can be used for clustering and cluster head selection in wireless sensor networks. Proposed system implements genetic algorithm based cluster head selection technique.

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