Optimization of Adaptive Queuing System with Priority-Based Scheduling in Underwater Sensor Networks

Underwater sensor networks (UWSNs) have gained immense attention amongst researchers due to its advanced technologies. Underwater wireless communication (UWC) is important for monitoring marine life, water pollution, oil and gas rig exploration, natural disaster surveillance, navy tactical operations for coastal security and underwater environment monitoring. In this light, the broad adoption of UWC has become a critical topic of research in order to envision many military and commercial applications that have a rising interest in exploring the underwater environment for a variety of purposes. As signals in UWSN are sent by acoustic signals, and a major feature of UWSN is that it is far from other sensor networks. However, the elevated delay in UWSNs can lead to spatial–temporal uncertainty and thereby made transmission scheduling a complex task. To solve this issue, a novel hybrid optimization-driven technique is devised for priority-based scheduling in UWSN-based on queuing technique. Here, the first step is the simulation of UWSN. Thereafter, the optimal paths are discovered for transmitting the signals attained from the sensor nodes. The optimal routing is performed using a fractional gravitational search algorithm (FGSA). Once the optimal routes are obtained, the obtained signals are transmitted to BS, wherein the priority-based scheduling is performed. The priority-based scheduling is performed with a newly devised lion-based shuffled shepherd optimization algorithm (Lion-SS) and fitness factor. The proposed Lion-SS is newly devised considering lion algorithm and shuffled shepherd optimization algorithm. In addition, fitness is obtained by energy, delay and distance. Thus, the fitness factor and proposed Lion-SS are utilized for priority-based scheduling in UWSN.KeywordsQueuingUnderwater sensor networkSchedulingPriorityEnergy efficient routing