Open AccessImproved Clustering with Optimization and Intelligent Path Selection
Author(s) -
J. Deepika*
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.d1828.029420
Subject(s) - cluster analysis , computer science , ant colony optimization algorithms , network packet , node (physics) , computer network , wireless sensor network , path (computing) , sink (geography) , distributed computing , engineering , artificial intelligence , cartography , structural engineering , geography
Wireless sensor networks (WSN) are widely used networking paradigm in research areas and clustering is one of the trusted mechanism for storing and processing data among the nodes in the network. The clustering makes use of a single node for transferring data to the sink node with sustaining the energy of all other nodes in the network and does the procedure of storing and processing of data using an optimization technique called as Ant Colony Optimization (ACO). The ACO is proposed in accordance along clustering which is the optimization technique used for robust communication between source node and destination node. The clustering mechanism used for sending data along the best path among the source and destination in the network so that the data can reach the destination rapidly and that helps in availing the faster response between source node and destination node. The ACO will greatly influence the dropped packets and that the delay occurring in the network based on the traffic available among the nodes in the network.