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.

[1]  Biswanath Mukherjee,et al.  Wireless sensor network survey , 2008, Comput. Networks.

[2]  A. Alkandari,et al.  Water monitoring system using Wireless Sensor Network (WSN): Case study of Kuwait beaches , 2012, 2012 Second International Conference on Digital Information Processing and Communications (ICDIPC).

[3]  Hamid Sharif,et al.  Effective sensor deployment based on field information coverage in precision agriculture , 2015, Wirel. Commun. Mob. Comput..

[4]  Pin-Han Ho,et al.  Power-aware optimization modeling for cost-effective LRPON infrastructure deployment , 2013, 2013 21st International Conference on Software, Telecommunications and Computer Networks - (SoftCOM 2013).

[5]  Pin-Han Ho,et al.  Cascaded splitter topology optimization in LRPONs , 2012, 2012 IEEE International Conference on Communications (ICC).

[6]  Fabrice Valois,et al.  WARIM: Wireless Sensor Networks Architecture for a Reliable Intersection Monitoring , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).

[7]  David J. Sherwin,et al.  System Reliability Theory—Models and Statistical Methods , 1995 .

[8]  Zhong Yang,et al.  SID: Ship Intrusion Detection with Wireless Sensor Networks , 2011, 2011 31st International Conference on Distributed Computing Systems.

[9]  C. J. A. Bastos-Filho,et al.  A multi-objective approach to design all-optical and translucent optical networks considering CapEx and QoT , 2012, 2012 14th International Conference on Transparent Optical Networks (ICTON).

[10]  Kwan-Wu Chin,et al.  On complete targets coverage and connectivity in energy harvesting wireless sensor networks , 2015, 2015 22nd International Conference on Telecommunications (ICT).

[11]  Yang Si-qing.  Optimal Deployment of Nodes in Sensor Network Based on Energy Consumption Balance , 2010 .

[12]  Kaishun Wu,et al.  LDSN: Localization scheme for double-head maritime Sensor Networks , 2014, 2014 20th IEEE International Conference on Parallel and Distributed Systems (ICPADS).

[13]  Lin Lin,et al.  Site planning of Relay Stations in greenwireless access networks: A genetic algorithm approach , 2011, 2011 International Conference of Soft Computing and Pattern Recognition (SoCPaR).

[14]  Thomas F. La Porta,et al.  Movement-assisted sensor deployment , 2004, IEEE INFOCOM 2004.

[15]  Ning Ding,et al.  Heterogeneous Roadside Unit Placement in Eco-Sustainable Communication Networks for Intelligent Transportation , 2015, 2015 Ninth International Conference on Frontier of Computer Science and Technology.

[16]  Youn-Hee Han,et al.  Regular sensor deployment patterns for p-coverage and q-connectivity in wireless sensor networks , 2012, The International Conference on Information Network 2012.