Application of Wind Driven Optimization algorithm for Clustering in WSN to Achieve Energy Efficiency

This thesis aims at reducing energy consumption in wireless sensor networks. To achieve this, we considered Wind Driven Optimization algorithm (WDO) in the selection of Cluster Head (CH) in such a way so that its energy is used uniformly with delayed disintegration of network. For this purpose, the LEACH algorithm random clustering approach has been replaced by WDO clustering. The WDO based LEACH protocol has been compared with random LEACH, LEACH-C and K-MEANS algorithm. Various factor taken for comparison are network life in the form of number of rounds, no of dead nodes and no of packet sent to BS affect performance of routing algorithm in WSN. The performance of cluster based routing protocol shows some differences by varying life pattern among nodes and number of dead nodes. LEACH-C perform better in network disintegration criterion but it give less network life as compared to WDO based LEACH. In WDO which is made of both types of search capabilities performs better than other methods.