Underwater node localization using range based multilateral accumulation method (RBMAM) and least square method (LSM)

摘要

In large-scale centralized underwater wireless sensor networks (UWSNs), there are problems of large number of nodes, limited communication distances and incapable to cover full networks. Usually we use surface gateway node to travel in a fixed trajectory and simultaneously collect underwater node information to localize node positions. The traditional area location scheme (ALS) has the problem of low precision and high collisions. Because of the collision, the identity information is always lost which is unable to match with distance measurements. The least square method (LSM) needs to match each distance to ID information so it has very low computation efficiency. To solve the above problems, we propose a range based multilateral accumulation method (RBMAM), which is applicable for large scale centralized network localization. This method has a far higher precision than ALS and close to LSM. This method also has a higher efficiency than LSM even though the information is lack with node number and identity information.