期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

多媒体传感网中一种基于优化覆盖及压缩代价评估的节能机制 被引量：1

An Energy Saving Strategy Based on Coverage Optimization and Compression Cost Estimation for Wireless Multimedia Sensor Networks
在线阅读 下载PDF
导出
摘要 为降低无线多媒体传感网能耗,利用贪婪算法调整节点传感方向,实现优化覆盖并降低了传感开销.同时,对节点数据压缩代价进行评估,使其以最小的能量代价传输数据,并根据多媒体事件流规律,优化网络生存时间.仿真结果表明,本方法在延长网络生存时间方面表现出了较好性能. To reduce energy consumption in wireless multimedia sensor networks,a greedy algorithm about sensing direction adjustment is proposed which enhances network coverage and reduces the sensing overhead.A type of compression cost estimation method is also described to minimize the node＇s power on transmission and the network lifetime is optimized according to the regularity of multimedia event stream.Simulation results show that this method obtains satisfactory performance on prolonging networks lifetime.
作者 沙超 王汝传 黄海平 孙力娟
机构地区 南京邮电大学计算机学院 江苏省无线传感网高技术研究重点实验室
出处 《电子学报》 EI CAS CSCD 北大核心 2011年第10期2353-2358,共6页 Acta Electronica Sinica
基金 国家自然科学基金(No.60973139 No.61003039 No.61003236) 江苏省科技支撑计划(工业)项目(No.BE2010197 No.BE2010198) 江苏省级现代服务业发展专项资金 江苏省高校自然科学基础研究项目(No.10KJB520013 No.10KJB520014) 江苏省计算机信息处理技术重点实验室基金(No.kjs1022)
关键词 无线多媒体传感网 能量消耗 贪婪算法 优化覆盖 压缩代价评估 wireless multimedia sensor networks energy consumption greedy algorithm coverage optimization compression cost estimation
分类号 TP393 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献14

  • 1刘文红,张宏科,陶丹.一种适用于唤醒机制的异构传感器网络节点协同唤醒路由算法[J].电子学报,2007,35(7):1341-1346. 被引量：4
  • 2鲁琴,罗武胜,张勇.多媒体传感器网络中基于两跳簇结构的图像传输方案[J].传感技术学报,2007,20(11):2476-2480. 被引量：11
  • 3Markus Flied, Bernd Girod. Coding of multi-view image sequences with video sensors [ A ]. Image Processing, 2006 IEEE International Conference [ C ]. Atlanta, GA: IEEE ICIP, 2006. 609 - 612.
  • 4D Tao,H Mal, Y Liu. Energy-efficient cooperative image processing in video sensor networks[A]. PCM 2005[C]. Jeju Island, Korea: Lecture Notes in Computer Science, Part Ⅱ, LNCS 3768,2005.572 - 583.
  • 5Navrati Saxena, Abhishek Roy, Jitae Shin. A QoS-based ener- gy-aware MAC protocol for wireless multimedia sensor net- works[ A ]. Vehicular Technology Conference [ C ]. Singapore, V'IC Spring,2008.183 - 187.
  • 6Yao Lan, Wen Wenjing, Gao Fuxiang. A real-time and energy aware QoS routing protocol for multimedia wireless sensor net- works[ A ]. Proceedings of the 7th World Congress on Intelli- gent Conlrol and Automation [ C ]. Chongqing, 2008. 3321 - 3326.
  • 7Osais Yahya, St-Hilaire Marc, Yu F Richard. The minimum cost sensor placement problem for directional wireless sensornetworksL A J. IEEE Vehicular Technology Conference, 2008. The 68th IEEE Vehicular Technology Conference[ C]. Calgary, BC,VTC 2008-Fa11,2008.1 - 5.
  • 8Akyildiz I F, Melodia T, Chowdhury K R. A survey on wireless multimedia sensor networks [ J ]. Computer Networks, 2007, 14 (6) :921 - 960.
  • 9Eric J StoUnitz, Tony D DeRose, David H Salesin. Wavelets for computer graphics: A primer[ J]. IEEE Computer Graphics and Applications, 1995,15(3) :76 - 84.
  • 10Heinzelman Wendi Rabiner, Chandrakasan Anantha, Balakrishnan Haft. Energy-efficient communication protocol for wireless microsensor networks[ A]. Proceedings of the Hawaii International Conference on System Sciences [ C]. Hawaii, 2000.223 - 232.

二级参考文献28

  • 1于海斌,曾鹏,王忠锋,梁英,尚志军.分布式无线传感器网络通信协议研究[J].通信学报,2004,25(10):102-110. 被引量：120
  • 2马华东,陶丹.多媒体传感器网络及其研究进展[J].软件学报,2006,17(9):2013-2028. 被引量：186
  • 3[1]Akyildiz I F,Melodia T,Chowdhury K R,A Survey on Wireless Multimedia Sensor Networks[J],Computer Networks,2007(51):921-960.
  • 4[3]Deborah E,Wireless Sensor Networks Tutorial Part IV:SensorNetwork Protocols[C]// Atlanta,Georgia,USA:Westin PeachtreePlaza,2002.23-28.C.B.
  • 5[4]Petkov Margi V,Obraczka K,Manduchi R,Characterizing Energy Consumption in a Visual Sensor Network Testbed[C]// Proc of IEEE/Create-Net Intl.Conf on Testbeds and Research Infrastructures for the Development of Networks and Communities (TridentCom),Barcelona,Spain,March 2006.
  • 6[5]Wu H,Abouzeid A A,Power Aware Image Transmission in Energy Constrained Wireless Networks[C]// Proc of the IEEE Symposium on Computers and Communications (ISCC),2004.
  • 7[6]Xiong Z,Liveris A D,Cheng S,Distributed Source Coding for Sensor Networks[J],IEEE Signal Process.Mag,2004(21):80-94.
  • 8[7]Kulkarni P,Ganesan D,Shenoy P,Lu Q,SensEye:A Multi-Tier Camera Sensor Network[C]// roc of the 13th Annual ACM international Conference on Multimedia'05.New York,2005.229-238.
  • 9[8]Heinzelman W B,Application-Specific Protocol Architectures for Wireless Networks[D],Ph.D.Thesis,Massachusetts Institute of Technology,June 2000.
  • 10[9]Wu H,Abouzeid A A,Energy Efficient Distributed Image Compression in Resource-Constrained Multihop Wireless Networks[J],Computer Communications (Elsevier),2005(28):1658-1668.

共引文献38

同被引文献15

  • 1CELLA U M, SHULEY N, JOHNSTONE R. Wireless sensor networks in coastal marine environments: A study case outcome [ C ]. Proceedings of the Fourth ACM International Workshop on Under Water Net- works, 2009 : 1-8.
  • 2HSU C C,LAI K F, CHOU C F, et al. ST-MAC: Spatial- temporal MAC scheduling for underwater sensor networks [ C]. IEEE INFOCOM ,2009 : 1827-1835.
  • 3POMPILI D, MELODIA' T, AKYILDIZ I F. Three-dimen- sional and two-dimensional deployment analysis for under- water acoustic sensor networks [ J ]. Ad Hoc Networks, 2009,7:778-790.
  • 4LEE U, WANG P, NOH Y,et al. Pressure routing for un- derwater sensor networks [ C ]. INFOCOM ,2010 : 1-9.
  • 5VURAN M C,AKYILDIZ I F. Cross-layer packet size op- timization for wireless terrestrial, underwater, and under- ground sensor networks [ C ]. INFOCOM, 2008, 27: 226-230.
  • 6DONOHO D. Compressed sensing [ J ]. IEEE Transactions on Information Theory, 2006,52 (4) : 1289-1306.
  • 7BAJWA W, HAUPT J, SAYEED A, et al. Joint source- channel communication for distributed estimation in sen- sor networks[ J]. IEEE Trans. Inf. Theory,2007,53 (10) : 3629-3653.
  • 8FAZEL M, FAZEL F, STOJANOVIC M. Random access compressed sensing for energy-efficient underwater sensor networks [ J ]. IEEE Journal on Selected Areas in Commu- nications ,2011,29 ( 8 ) : 1660-1670.
  • 9BALOUCHESTANI M, RAAHEMIFAR K, KRISHNAN S. Compressed sensing in wireless sensor networks: survey [ J ]. Canadian Journal on Multimedia and Wireless Net- works,2011,2( 1 ) :1-4.
  • 10YANG A Y, GASTPAR M, BAJCSY R, et al. Distributed sensor perception via sparse representation [ C ]. Proceed- ings of the IEEE ,2010 ,98 (6) :1077-1088.

引证文献1

二级引证文献11

电子学报
2011年 第10期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部