Dynamically Optimized Sensor Deployment Based on Game Theory

ZHANG Fan,ZHENG Zhi,JIAO Lei

Journal of Systems Science & Complexity ›› 2018, Vol. 31 ›› Issue (1) : 276-286.

PDF(273 KB)
PDF(273 KB)
Journal of Systems Science & Complexity ›› 2018, Vol. 31 ›› Issue (1) : 276-286. DOI: 10.1007/s11424-018-7384-5

Dynamically Optimized Sensor Deployment Based on Game Theory

  • ZHANG Fan , ZHENG Zhi , JIAO Lei
Author information +
History +

Abstract

Sensor network deployment is the key for sensors to play an important performance. Based on game theory, first, the authors propose a multi-type sensor target allocation method for the autonomous deployment of sensors, considering exploration cost, target detection value, exploration ability and other factors. Then, aiming at the unfavorable environment, e.g., obstacles and enemy interference, the authors design a method to maintain the connectivity of sensor network, under the conditions of effective detection of the targets. Simulation result shows that the proposed deployment strategy can achieve the dynamic optimization deployment under complex conditions.

Cite this article

Download Citations
ZHANG Fan , ZHENG Zhi , JIAO Lei. Dynamically Optimized Sensor Deployment Based on Game Theory. Journal of Systems Science and Complexity, 2018, 31(1): 276-286 https://doi.org/10.1007/s11424-018-7384-5
PDF(273 KB)

76

Accesses

0

Citation

Detail

Sections
Recommended

/