Published Paper Details:

In this paper, we present an effective Wireless technique in which two optimization algorithms i.e., Artificial Bee Colony (ABC) and Grasshopper Optimization algorithm (GOA) has been hybridized. The key motive of the proposed HABCGOA model is to improve the lifespan of the network by reducing its energy consumption. To combat this task, nodes are deployed in the network upon which HABCGOA technique is implemented. In order to select the optimum CH in the network, the proposed model analyses four parameters i.e., node density, residual energy, distance from CH to BS and average distance between two nearby nodes to calculate fitness value. The node with the best fitness value is selected as CH in the network for a particular cluster on iteration. Additionally, we have also introduced the range-based communication in the proposed work by virtue of which non cluster member nodes transfer their data to the nearest CH node instead of transferring it directly to Base Station (BS). The effectiveness or proposed HABCGOA model is analysed and validated by comparing it with similar approaches in MATLAB Software using various dependency factors.