A Novel Optimal Path Planning Procedure for Autonomous Underwater Vehicles
V. Nancy Siron Santhiya, Judy Simon
Abstract
Autonomous underwater vehicles (AUVs) are used in underwater sensor communication networks to collect data from the cluster heads. The energy efficiency of the underwater sensor networks is improved in a better manner by incorporating this data acquisition procedure. However, the path to acquire information from the sensor nodes are dynamically calculated due to the sensor data acquiring characteristics and design. Different sensors collect diverse data over time and it has to be collected properly by AUV s without travelling long distances. Thus, the AUVs are provided with a trajectory for movement which is generally obtained through optimization algorithms. However, the traditional optimization algorithms have limited exploration and exploitation features which reduces the path planning performances. Thus, in this research work a novel optimal path planning procedure is presented for AUV movement using Modified Humming bird algorithm. The optimal path obtained by the optimization model reduces the energy consumption of AUVs in WSNs.