基于烟花算法的多传感器优化模型部署#br#

doi:10.3969/j.issn.1001-506X.2019.08.10

系统工程与电子技术 ›› 2019, Vol. 41 ›› Issue (8): 1742-1748.doi: 10.3969/j.issn.1001-506X.2019.08.10

基于烟花算法的多传感器优化模型部署#br#

田桂林1,2, 刘昌云1, 高嘉乐1,2, 吴舒然1,2

1. 空军工程大学防空反导学院, 陕西西安 710051;
2. 空军工程大学研究生院, 陕西西安 710051

出版日期:2019-07-25 发布日期:2019-07-25

Multi-sensor optimal disposition model based on fireworks algorithm

TIAN Guilin1,2, LIU Changyun1, GAO Jiale1,2, WU Shuran1,2

1. Air and Missile Defense College, Air Force Engineering University, Xi’an 710051, China;
2. Graduate College, Air Force Engineering University, Xi’an 710051, China

Online:2019-07-25 Published:2019-07-25

摘要/Abstract

摘要：

针对现代化战场多传感器网络部署优化问题,对传感器网络部署进行了优化,以总区域覆盖率、重点区域的共视参数、传感器资源利用率三方面作为评价指标,设计了多传感器网络优化模型,并将烟花算法应用于该模型,提出了烟花算法最优解求解方法。通过仿真验证算法的有效性,结果表明:经过烟花算法计算后,总区域覆盖率和重点区域的共视参数均超过了90%,传感器的资源利用率高;同时烟花算法的求解速度快,可赋予重点区域共视参数更高的权重,有利于战场重点区域覆盖率的提高。

关键词: 传感器网络, 烟花算法, 优化部署

Abstract:

Focusing on sensor network deployment optimization in the modern battlefield multi-sensor network deployment, from total area coverage, common view parameters of key targets, and sensor resource utilization, three aspects are used as evaluation indicators, and a multi-sensor network optimization model is designed. The fireworks algorithm is applied to the model, and the optimal solution method of the fireworks algorithm is proposed. Through the effectiveness of the simulation verification algorithm, after the fireworks calculation, the total area coverage and the common view parameters of the key areas exceed 90%, and the sensor resource utilization rate is high. The fast solving speed of the fireworks algorithm gives higher weight to the common vision parameters in key areas, which is beneficial to the increase of coverage in key areas of the battlefield.

Key words: sensor network, fireworks algorithm, deployment optimization

田桂林, 刘昌云, 高嘉乐, 吴舒然. 基于烟花算法的多传感器优化模型部署#br#[J]. 系统工程与电子技术, 2019, 41(8): 1742-1748.

TIAN Guilin, LIU Changyun, GAO Jiale, WU Shuran. Multi-sensor optimal disposition model based on fireworks algorithm[J]. Systems Engineering and Electronics, 2019, 41(8): 1742-1748.

基于烟花算法的多传感器优化模型部署#br#

Multi-sensor optimal disposition model based on fireworks algorithm

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