Fruit Fly algorithm based clustering protocol in wireless sensor networks

In recent days, wireless sensor networks (WSN) are catching the spotlights in networking and other emerging fields like large data communication, artificial intelligence, automation systems etc. The major constraint wireless sensor networks are struggling with limited energy supply issues for their sensor nodes. This paper is focused to put emphasis on implementing a clustering protocol inspired from Fruit Fly (FF) movement to reduce the power usage of the sensor nodes by using shortest paths possible for data transmission and in turn enhancing the life time of the network. The whole network is partitioned into several areas by the FF algorithm. At first place, energy efficiency was the vital motto to thrive for implementing FF algorithm. Network lifetime analysis using CH selection method and data transmission efficiency were tested using FF algorithm based clustered in WSN. A comparative analysis was then took place to compare existing and commonly practiced algorithm such as Cuckoo Search, LEACH, LEACH-C algorithm based protocols against the proposed FF algorithm.