挑战环境下无线磁感应传感网理论与关键技术

施文娟; 孙彦景; 李松; 翟文艳; 谭泽富; 蔡黎

doi:10.13272/j.issn.1671-251x.2016.06.006

挑战环境下无线磁感应传感网理论与关键技术

doi: 10.13272/j.issn.1671-251x.2016.06.006

施文娟^{1, 2},
孙彦景^{1, 3},
李松¹,
翟文艳¹,
谭泽富⁴,
蔡黎⁴

1.
中国矿业大学信息与电气工程学院，江苏徐州221008
2.
盐城师范学院新能源与电子工程学院，江苏盐城224002
3.
中国矿业大学江苏省煤矿电气与自动化工程实验室，江苏徐州221008
4.
重庆三峡学院电子与信息工

基金项目:

国家自然科学基金项目（51274202，51504214，51504255）

江苏省重点研发计划项目（BE2015040）

江苏省自然科学基金项目（BK20131124，BK2012068，BK2012246，BK20130199）

江苏省产学研前瞻性联合研究项目（BY201

详细信息

中图分类号: TD655
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出版历程
- 刊出日期: 2016-06-10

Theory and key technologies for wireless magnetic induction sensor network in challenging environment

SHI Wenjuan^{1, 2},
SUN Yanjing^{1, 3},
LI Song¹,
ZHAI Wenyan¹,
TAN Zefu⁴,
CAI Li⁴

1.
School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China
2.
School of New Energy and Electronical Engineering, Yancheng Normal University, Ya

摘要

摘要: 针对挑战条件下复合介质中安全与环境监测的需求，为了克服路径损耗严重、信道条件动态变化和电源条件受限等问题，提出了面向复合介质应用的基于无线磁感应通信和磁感应波导通信的理论模型，给出了无线磁感应传感网的网络体系结构。对无线磁感应传感网的研究方向及应用进行了展望，指出了开展相关研究的迫切性。无线磁感应传感网的研究对地下环境监测、长距离或人口密集区输油、输气、输水等生命线工程的安全监测具有重要意义。
- 挑战环境 /
- 磁感应 /
- 磁感应波导 /
- 无线磁感应传感网
Abstract: In view of requirements of security and environmental monitoring in coal mine multiplex medium in challenging environment, in order to conquer the obstacles such as serious path loss, dynamic channel condition and constrained supply condition and so on, theory model of wireless magnetic induction communication and magnetic induction waveguide communication in multiplex medium was proposed, and structure of wireless magnetic induction sensor network was given. Research directions and application of wireless magnetic induction sensor networks in the future were prospected, the urgency of related study was pointed out. It has great significance to safety monitoring of underground environment and the oil, gas or water pipeline which is especially long or in densely populated area.
- challenging environment /
- magnetic induction /
- magnetic induction waveguide /
- wireless magnetic induction sensor networks