LI Yongyan, GAO Wen, WU Chunming, et al., “Deployment of Sensors in WSN: An Efficient Approach Based on Dynamic Programming,” Chinese Journal of Electronics, vol. 24, no. 1, pp. 33-37, 2015,
Citation: LI Yongyan, GAO Wen, WU Chunming, et al., “Deployment of Sensors in WSN: An Efficient Approach Based on Dynamic Programming,” Chinese Journal of Electronics, vol. 24, no. 1, pp. 33-37, 2015,

Deployment of Sensors in WSN: An Efficient Approach Based on Dynamic Programming

Funds:  This work is supported by the National Basic Research Program of China (973 Program) (No.2012CB315903), the Key Science and Technology Innovation Team Project of Zhejiang Province (No.2011R50010, No.2013TD20), 863 Program of China (No.2012AA01A507), the National Natural Science Foundation of China (No.61379118), and the Research Fund of ZTE Corporation.
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  • Corresponding author: WU Chunming is currently a professor of College of Computer Science at Zhejiang University. His research fields include network architecture, reconfigurable network, network virtualization,and network security architectures.
  • Received Date: 2013-12-01
  • Rev Recd Date: 2014-05-01
  • Publish Date: 2015-01-10
  • Efficient sensor node deployment is extremely important in wireless sensor networks. It earns great practical meanings through using fewer sensor nodes as far as possible to satisfy different requirements such as the requirement on coverage and overcoming the potential sensor node failures and the adverse influence from the environment. We propose an efficient approach for the deployment of sensor nodes in wireless networks, termed as EDSNDA, which is excellent in taking both the requirements of sensor coverage and network connectivity into consideration when minimizing the number of necessary sensor nodes to the best of its ability. We proposed a new coverage model of sensor node. Based on the sensor coverage model, we establish four dynamic programming models in four different practical situations, respectively. The algorithms are then proposed which are used for solving the corresponding dynamic programming models. The validity of the method is justified by simulation studies in which the method is compared with the current representative methods. The simulation results show that our method performs better than the other ones with fewer sensor nodes, better coverage and network connectivity result in the same circumstance.
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