|本期目录/Table of Contents|

[1]田淑梅,高希军,张喜海.基于农田复杂区域的WSN最优移动路径获取策略[J].工业仪表与自动化装置,2015,(02):127.
 TIAN Shumei,GAO Xijun,ZHANG Xihai.Optional moving path acquisition strategy based on farm complex region for WSN[J].Industrial Instrumentation & Automation,2015,(02):127.
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基于农田复杂区域的WSN最优移动路径获取策略(PDF)

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2015年02期
页码:
127
栏目:
出版日期:
2015-04-15

文章信息/Info

Title:
Optional moving path acquisition strategy based on farm complex region for WSN
文章编号:
1000-0682(2015)02-0000-32
作者:
田淑梅13高希军2张喜海3
(1.黑龙江科技大学 计算机与信息工程学院 哈尔滨 150022;2.哈尔滨聚力源有限公司,哈尔滨 150028;3.东北农业大学 电气与信息学院,哈尔滨 150030)
Author(s):
TIAN Shumei13GAO Xijun2ZHANG Xihai3
(1. College of Computer and Information Engineering, Heilongjiang University of Science and Technology, Harbin 150022,China;2.Harbin Juli Jsw Energy Ltd, Harbin 150028,China;3.School of Electrical and Information, Northeast Agricultural University, Harbin
关键词:
无线传感网络虚拟力蚁群算法
Keywords:
wireless sensor networks virtual force ant colony algorithm
分类号:
TP393
DOI:
-
文献标志码:
A
摘要:
为了优化农田复杂区域无线传感网络中的移动路径,提出了一种新的移动路径获取策略。该策略通过使用虚拟力来获得移动信标发射的最优虚拟信标位置,再使用改进的蚁群算法遍历这些最优位置,从而获得最优移动路径。仿真实验表明,与传统路径获取方式相比,此方法更加适用于不规则区域的移动路劲获取工作。
Abstract:
In order to optimize the complex area of farmland in mobile wireless sensor network path , we propose a new acquisition strategy moving path . This policy by using the virtual force to get the best mobile beacon transmission virtual beacon location, and then using the improved ant colony algorithm to traverse the best position to obtain the optimal path of movement . Simulation results show that compared with the traditional path acquisition mode, this method is more suitable for irregular areas of Mobile Road King get to work .

参考文献/References:

[1] 王雪,王晟.无线传感网络布局的虚拟力导向微粒群优化策略[J].电子学报,2007,35(11):2039-2042

[2] 李明,石为人.虚拟力导向差分算法的异构移动传感网络覆盖策略[J].仪器仪表学报,2011,32(5):1044-1046.
[3] 邹磊,蔡自兴,任孝平.基于虚拟力的自组织覆盖算法[J].计算机工程,2010,36(14):80-86.
[4] 田一鸣,陆阳.无线传感网络虚拟力覆盖控制及节能优化[J].电子测量与仪器学报,2009,23(11):65-70.
[5] 袁正午,梁均军.基于虚拟力的无线传感网络多跳定位算法[J].重庆邮电大学学报:自然科学版,2010,22(1):22-26.
[6] CARDEI M,WU J. Energy-efficent coverage problems in wireless ad-hoc sensor networks[J].Computer Communication, 2006,29(4):413-420.
[7] TILAK S, ABU-GUAZALEH N, HEINZELMAN W. Infrastructure tradeoffs for sensor networks[A].Proc.of the lst Int’l Workshop on Wireless Sensor Netsor Networks and Applications[C].Atlanta:ACM Press,2002:49-57.
[8] Wang X,Jiang A,Wang S. Mobile agent based wireless sensor network for intelligent maintenance[J].Lecture Notes in Computer Science,2005,(02):316-325.
─5b9] Wang X,Wang S,Ma J. Dynamic deployment optimization in wireless sensor networks[J].Lecture Notes In Control and Information Sciences,2006.182-187.
─5b10] Wang X,Jiang A,Wang S. Mobile agent based wireless sensor network for intelligent maintenance[J].Lecture Notes in Computer Science,2005,(02):316-325.

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备注/Memo

备注/Memo:

收稿日期: 2014-07-07

基金项目:国家自然科学基金资助项目(批准号: 31101080 );黑龙江省教育厅科学技术研究项目( 12511040

作者简介:田淑梅( 1976 ),女,黑龙江哈尔滨人,讲师,博士生,主要从事农业信息无线传感网络研究。

更新日期/Last Update: 1900-01-01