Culminate Coverage For Sensor Network Through Bodacious-Instance Mechanism

Due to unavoidable environmental factors, the wireless sensor networks are facing numerous tribulations regarding network coverage. This arose due to the uncouth deployment of the sensor nodes that influence the performance. To enhance the network coverage, a node deployment based Bodacious-instance Mechanism (BiM) has been proposed. Each instance describes a solution for the deployment of sensor nodes individually. Further variations of various parameters of BiM such as loudness, pulse emission rate, maximum frequency, grid points, and sensing radius has been explored and optimized values of these parameters are identified. The simulation results of node deployment based on tuned Bodacious-instance mechanism is also compared with BiM and fruit fly optimization algorithm (FOA) based node deployment in terms of mean coverage rate, computation time, and standard deviation. The coverage rate curve for various numbers of iterations and sensor nodes are also presented for tuned Bodacious-instance Mechanism, BiM, and FOA. The results demonstrate the effectiveness of tuned Bodacious-instance mechanism as it achieves more coverage rate than BiM and FOA.