Abstract

This paper designs a multi-sensor resource dynamic allocation method based on auction algorithm. Tasks are prioritized according to the needs of the engineering field. Task priority is used as the basis for multi-sensor resource allocation order, taking into account the target's threat value and information needs. The sensor and task pairing function is established and used to measure the sensor resource dynamic allocation, we also use Analytic Hierarchy Process to determine the weight of each performance parameter in the pairing function (such as detection probability, intercept probability, positioning accuracy, tracking accuracy, recognition probability, etc.). The auction algorithm is improved by adding resource dynamic allocation constraints, which not only ensures the continuous execution of the target task, but also improves the dynamic allocation efficiency of multi-sensor resources. The simulation results show that the allocation method in this paper is scientific and reasonable.

Highlights

  • 量,xij 表示使用传感器(组)i 执行任务 j。 (8) 式保 证传感器执行的任务数不超出其能力范围,(9) 式

  • This paper designs a multi⁃sensor resource dynamic allocation method based on auction algorithm

  • Task priority is used as the basis for multi⁃sensor re⁃ source allocation order, taking into account the target′s threat value and information needs

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Summary

Introduction

量,xij 表示使用传感器(组)i 执行任务 j。 (8) 式保 证传感器执行的任务数不超出其能力范围,(9) 式 从表 1 和表 2 中可知,加入资源动态分配约束 后,配对函数值和代价函数值均降低。 为了保证任 务的连续性,更倾向于采用原有平台执行任务,但原 有平台与该任务的配对函数值低于新分配给该任务 的平台配对函数值,所以导致配对函数值下降。 但 由于无需花费时间进行信息共享和目标交接,因此 代价函数值降低。 改进后的效能值略大于改进前的 效能值,证明改进后的动态分配拍卖算法更有效。 系统工程与电子技术, 2007,29( 9) : 1472⁃1475 WANG Feng, PAN Quan, WANG Yinhuai, et al An Optimal Decision Model for Sensor Management Based on Efficiency Function[ J] . 电光与控制, 2014, 21(8) :63⁃67 YANG Tao, XU Yunshan, XIAO Bingsong, et al Adaptive Sensor Tracking Resource Allocation Based on Performance Function [ J] .

Results
Conclusion

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