Design and Planning of Heterogeneous Marine Sensor Networks for Marine Intelligent Transportation

To satisfy the stringent requirement of ocean monitoring in Marine Intelligent Transportation System, Marine Sensor Networks (MSNs) is envisioned as one of the most effective solutions. In this paper, we study the Heterogeneous and Double Paths MSNs (HDPM) architecture with Sensors (SNs) in view of the reliability of the networks. And we propose a generic integer linear programming (ILP) model to minimize the total cost under the condition of satisfying the performance of the network. We solve the model by Gurobi, which is the newest ILP solver by now. A series of case studies are conducted to validate the optimization framework and demonstrated the solvability and scalability of the ILP model. Computational results show the significant performance benefits of HDPM in Marine Intelligent Transportation System in terms of lower cost, prolonged lifetime and higher reliability.