Please wait a minute...
J4  2014, Vol. 48 Issue (3): 384-390    DOI: 10.3785/j.issn.1008-973X.2014.03.002
计算机技术,无线电电子学     
CRSN中一种基于频谱已知的多信道机会路由协议
潘雄振,蒋铃鸽,何晨
上海交通大学 电子信息与电气工程学院, 上海 200240
 Spectrum aware based multi-channel opportunistic routing in CRSN
PAN Xiong-zhen, JIANG Ling-ge,HE Chen
School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240, China
 全文: PDF(1975 KB)  
摘要:

为了解决在无线认知传感网络(CRSN)中,因为无线链路的不稳定性所导致的一般路由方式取得的吞吐量非常有限的问题,提出一种基于频谱已知的多信道机会路由协议(SAMOR).该路由方式一方面可以克服无线链路的不稳定性,另一方面可以提高频谱资源的利用率.在构造节点的传输竞争集时,综合考虑了投递率、能量消耗和时延三者之间的权衡设计了一个竞争集优化算法.在数据的传输过程中,中继节点和数据信道的选择是在一种基于控制信道的跨层协商机制(MC-OMAC)中完成的.仿真结果表明:SAMOR比基于频谱已知的机会路由协议(SAOR)在平均吞吐量、平均丢包率和平均时延上表现得更加优越;链路的平均投递率越小,SAMOR表现出来的优势就越明显.

关键词: 无线传感器网络认知无线电机会路由跨层    
Abstract:

The throughput achieved by the traditional routing in cognitive radio sensor network (CRSN) is quite limited because of the instability of wireless links. A spectrum aware based multi-channel opportunistic routing (SAMOR) was proposed, which can overcome the instability of wireless links, and at the same time improve the utilizations of spectrum. When constructing the forwarding candidate set, a modification algorithm was presented which considered the trade-off among the delivery, energy consumption and delay. During the data transmit process, the selection of data channel and relay node is completed in a control channel based cross-layer mechanism (MC-OMAC). Simulation shows that SAMOR perform better than spectrum aware opportunistic routing (SAOR) in average throughput, average loss ratio and average delay. The advantage of SAMOR is more obvious when the average delivery of wireless link is similar.

Key words:  wireless sensor network    cognitive radio    opportunistic routing    cross-layer
出版日期: 2014-04-02
基金资助:

国家科技重大专项资助项目(2011ZX03003-001-03).

通讯作者: 蒋铃鸽,女,教授,博导.     E-mail: lgjiang@sjtu.edu.cn
作者简介: 潘雄振(1988-),男,硕士生,从事无线传感网络中路由协议的研究. E-mail:sjtuxiong@sjtu.edu.cn
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  

引用本文:

潘雄振,蒋铃鸽,何晨. CRSN中一种基于频谱已知的多信道机会路由协议[J]. J4, 2014, 48(3): 384-390.

链接本文:

http://www.zjujournals.com/xueshu/eng/CN/Y2014/V48/I3/384

[1] Federal Communications Commission. Spectrum policy task force report,federal communications commission 02-155 [R]. Washington, DC:FCC,2002.
[2] BISWAS S, MORRIS R. Exor: opportunistic multi-hop routing for wireless networks[C]∥Proceedings of the 2005 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications. New York: ACM, 2005:133-144.
[3] CHENG G, LIU W, CHENG W. Spectrum aware on-demand routing in cognitive radio networks [C]∥ IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks. Dublin:IEEE, 2007:571-574.
[4] LIN S-C, CHEN K-C. Spectrum aware opportunistic routing in cognitive radio networks [C]∥IEEE Global Telecommunications Conference. Miami:IEEE,2010: 16.
[5] SHILA D-M, CHENG Y. Capacity enhancement of cognitive wireless networks with 7-distance spectrum usage policy[C]∥IEEE International Conference on Communications. Ottawa:IEEE,2012: 78-82.
[6] TANG L, SUN Y J, GUREWITZ O. PW-MAC: An energy-efficient predictive-wakeup MAC protocol for wireless sensor networks[C]∥INFOCOM. Shanghai:IEEE,2011: 1305-1313.
[7] LEE W Y, AKYLDIZ I F. A spectrum decision framework for cognitive radio networks [J]. IEEE Transactions on Mobile Computing, 2011,10(2):161-174.
[8] ZENG K, LOU W, YANG J. On geographic collaborative forwarding in wireless Ad Hoc and Sensor networks[C]∥Proceedings of the International Conference on Wireless Algorithms, Systems and Applications. Chicago:\
[s.n.\],2007: 11-18.
[9] ZHANG X, SU H. CREAM-MAC: Cognitive radio-enabled multichannel MAC protocol over dynamic spectrum access networks [J]. IEEE Journal of Selected Topics in Signal Processing,2011,5(1):110-123.

[1] 肖璟博, 陈敏, 刘云涛, 刘云超, 陈杰. 水质监测传感器数据采集节点的设计和实现[J]. 浙江大学学报(工学版), 2017, 51(7): 1446-1452.
[2] 钱良芳, 张森林, 刘妹琴. 基于预约的数据队列水下无线传感器网络MAC协议[J]. 浙江大学学报(工学版), 2017, 51(4): 691-696.
[3] 董利达,黄聪,管林波. 基于双树结构的无线HART调度策略[J]. J4, 2014, 48(3): 391-397.
[4] 宫本康, 张朝阳, 叶露. Overlapped OFDMA—新颖的多载波频谱共享传输机制[J]. J4, 2013, 47(5): 860-866.
[5] 容志能,金文光,骆一希. 人体运动传感数据的无线采集方案设计[J]. J4, 2012, 46(7): 1314-1319.
[6] 鲍必赛, 伍健荣, 楼晓俊, 刘海涛. 基于二维特征矩阵的特征融合算法[J]. J4, 2012, 46(11): 2081-2088.
[7] 楼文涛, 张朝阳, 陈少磊, 殷锐. 基于无速率编码的认知无线电系统能量分配算法[J]. J4, 2012, 46(10): 1816-1821.
[8] 高庆,李善平,杨朝晖. 基于虚拟场的能量高效传感器网络地理路由[J]. J4, 2012, 46(1): 98-104.
[9] 潘巨龙,李善平,张道远. 无线传感器网络簇内可疑节点的博弈检测方法[J]. J4, 2012, 46(1): 72-78.
[10] 朴云,董利达,丁力. 能够克服局部NLOS影响的自主移动节点定位方法[J]. J4, 2011, 45(7): 1147-1153.
[11] 夏明, 董亚波, 鲁东明. 无线传感网逐跳自适应FEC传输可靠性
保证方法
[J]. J4, 2011, 45(2): 273-279.
[12] 杨波, 邹富强. 异向性磁阻传感器检测车流量的新方法[J]. J4, 2011, 45(12): 2109-2114.
[13] 章翠枝, 陈淑敏, 于强, 梁书成, 徐元欣. 基于AF中继的OFDM认知系统的
功率分配和子载波配对算法
[J]. J4, 2011, 45(12): 2259-2264.
[14] 陈友荣, 俞立, 董齐芬, 洪榛. 基于近邻算法的无线传感器网络功率控制[J]. J4, 2010, 44(7): 1321-1326.
[15] 蔡文郁, 唐军, 张昱. 无线传感器网络MDC视频传输的跨层多径路由协议[J]. J4, 2010, 44(1): 61-67.