The Study Of Sensor Deployment For Underwater Sensor Networks

Underwater sensor networks are monitoring systems composed of sensors with acoustic communication ability. As extend from wireless sensor networks to underwater sensor networks, they are envisioned enable applications for oceanographic data collection, pollution monitoring, offshore exploration, and tactical surveillance applications and attracting increasing interest from many countries and research institutions.The research of UWSNs involves energy efficiency communication protocol, routing algorithm, location in recent years, but the research on sensor deployment is seldom. Underwater circumstance is unique compared with land: the underwater environment is complicated and multi-various; the surveillance target is dynamic; the mobility of sensors is better. Therefore, how to adjust location of sensors according to the change of the underwater environment and surveillance target is an imminence issue. This thesis is proposed to solve the above questions.The main content and innovation of this paper are as follows:Firstly, this paper describes the problem of sensor deployment combined with the meandering current mobility model in UWSNs, and defines a new performance evaluation metrics for underwater sensor deployment.Secondly, based on self-organize map and Gibbs sampling, this paper proposes improved self-organize map algorithm and applies it to ocean-bottom sensor deployment, which can make the distributing shape and density of sensors match with the distributing shape and density of events respectively.Thirdly, this thesis proposes fish swarm inspired underwater sensor deployment for ocean-column sensor deployment which is a distributed algorithm and can come true easily. After the running of the algorithm, sensors will cover events by self-determination and get good coverage. Moreover, this approach of placing sensors makes the distributing density of sensors matches that of events to be sensed.