Utilizing Genetic Algorithm for Optimization of Maritime Surveillance Sensor Network Deployment

As the largest archipelago country in the world, Indonesia has great potential to be the world's maritime axis. The maritime axis is a strategic idea which embodied to ensure inter-island connectivity, shipping and fishery industries development, marine transportation improvement and focus on maritime security. So maritime monitoring is crucial in order to prevent sea pollution, fish theft, sovereignty offenses, territorial disputes, and piracy. Nowadays, maritime monitoring has been a very interesting issue over the last decade. With the rapid advancement of technology and the Internet, sensor network technology has become very important in monitoring the aquatic environment. Maritime responsibilities, such as vigilance and patrolling, wildlife monitoring, and aqua-culture inspection, mostly require large operational teams and expensive equipment. In this position paper, we study and propose a scheme based on genetic algorithm to deploy nodes in the target area which composed of potentially hundreds sensor nodes. The goals of this work is to optimizing of wireless sensor network (WSN) deployment for maritime environment monitoring by using a genetic algorithm.