Event-driven coverage optimization strategy based on VF-SCSO algorithm in underwater wireless sensor networks

In marine search and rescue applications, Event-driven networks are capable of monitoring and capturing events as they occur in real time. In this paper, an event-driven coverage optimization strategy based on the virtual force-aided sand cat swarm optimization algorithm (VF-SCSO) is proposed for node deployment in 3D underwater networks. First, the SCSO algorithm was used to initially improve the location of the sensor nodes. Second, the uncovered events and the virtual force of neighboring nodes are introduced to address the coverage vulnerability in the monitoring area. The range of random wandering of the sand cat is limited and the location update of the node is locally adjusted so as to maximize the network coverage. Simulation results show that under the same initial conditions, the VF-SCSO algorithm not only achieves high coverage of target events, but also greatly reduces the moving distance of nodes during the deployment process, achieving the purpose of reducing energy consumption.