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认知无线传感器网络中基于网络特性的单天线媒体接入控制协议
  • ISSN号：1006-2467
  • 期刊名称：上海交通大学学报
  • 时间：0
  • 页码：1729-1735
  • 分类：TP393[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构：[1]上海交通大学电子信息与电气工程学院,上海200240
  • 相关基金：国家自然科学基金资助项目（60832009）,富士通研发中心有限公司合作项目
  • 相关项目：基于认知的无线资源管理与利用
作者： 周桂寅|何晨|蒋铃鸽|
关键词： 无线传感器网络, 信道接入控制, 协议, 单收发器, wireless sensor networks, medium access control（MAC）, protocol, single transceiver
中文摘要：

提出了一种基于网络特性的单天线媒体接入控制（STNC—MAC）协议用于认知无线传感器网络．该协议能使作为次用户的无线传感器节点有效地对主用户使用信道进行机会接入．STNC—MAC充分考虑了主用户和次用户的网络特性，通过定义数据传输单元和最大信道占用时间。设计出适用于STNC—MAC的数据传输方案和可用信道列表管理机制，克服多信道隐藏终端问题和“盲”状态问题；同时，在不对主用户造成严重干扰的情况下，实现了不同主用户信道利用率的数据信道支持不同长度数据包传输的功能．NS2仿真结果表明，STNC—MAC在吞吐量和平均时延方面比STDCA—MAC和原始的IEEE802．1lMAC更好地提高了网络性能．

英文摘要：

This paper proposed a single transceiver and network characteristics based MAC protocol （ST- NC-MAC）. The cognitive MAC can make wireless sensor nodes with single transceiver opportunistically access the licensed spectrum. STNC-MAC takes the network characteristics of both PUs （primary users） and SUs （secondary users） into consideration sufficiently. By defining the concepts of data transmission u nit and maximum channel occupation period, STNC-MAC developed its data transmission pattern and a vailable channel table management mechanism to solve the multi-channel hidden terminal problem and blind state problem. Additionally, the packets transmission of different lengths is supported by using the chan nels of different PUs utilizations, causing no or limited interference to PUs. The NS2 simulation results show that STNC-MAC outperforms STDCA-MAC and IEEE 802.11 MAC in terms of throughput and average transmission delay.

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基于认知的无线资源管理与利用
期刊论文 133 会议论文 128 获奖 4 专利 26 著作 2
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期刊信息
  • 《上海交通大学学报》
  • 中国科技核心期刊
  • 主管单位:中华人民共和国教育部
  • 主办单位:上海交通大学
  • 主编：郑杭
  • 地址：上海市华山路1954号15F
  • 邮编：200030
  • 邮箱：shjt@chinajournal.net.cn
  • 电话：021-62933373 62932534
  • 国际标准刊号：ISSN：1006-2467
  • 国内统一刊号：ISSN：31-1466/U
  • 邮发代号:4-256
  • 获奖情况:
  • 1996年全国优秀科技期刊奖,1992年、1996年、1999年国家教育部系统优秀科技期刊奖,2002年“百种重点期刊奖”,2003年百种中国杰出学术期刊,2004年教育部全国高校优秀科技期刊一等奖,2004年“百种重点期刊奖”
  • 国内外数据库收录:
  • 美国化学文摘（网络版）,美国数学评论（网络版）,德国数学文摘,荷兰文摘与引文数据库,美国工程索引,美国剑桥科学文摘,英国科学文摘数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）,中国北大核心期刊（2000版）
  • 被引量:30903