AdamRTP: Adaptive Multi-flows Real-time Multimedia Delivery over WSNs

被引:2
作者
Zakaria, Aniss [1 ]
El-Marakby, Randa [2 ]
机构
[1] Ajman Univ Sci & Technol, Ajman, U Arab Emirates
[2] Univ Windsor, Windsor, ON N9B 3P4, Canada
来源
2009 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (ISSPIT 2009) | 2009年
关键词
Real-time multimedia; Multi-flow; RTP; RR; AdamRTP; QoS; Wireless Sensor Network (WSN);
D O I
10.1109/ISSPIT.2009.5407580
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Real-time multimedia applications are time sensitive and require extra resources from the network, e.g. large bandwidth and big memory. However, Wireless Sensor Networks (WSNs) suffer from limited resources such as computational, storage, and bandwidth capabilities. Therefore, sending real-time multimedia applications over WSNs can be very challenging. For this reason, we propose an Adaptive Multi-flows Real-time Multimedia Transport Protocol (AdamRTP) that has the ability to ease the process of transmitting real-time multimedia over WSNs by splitting the multimedia source stream into smaller independent flows using an MDC-aware encoder, then sending each flow to the destination using joint/disjoint path(s). AdamRTP uses also dynamic adaptation techniques, e.g. changing number of flows and rate adaptation. Simulations experiments demonstrate that AdamRTP enhances the Quality of Service (QoS) of the data transmission. Also, we show that in an ideal WSN, using multi-flows consumes less power per node than using a single flow and extends the life-time of the network
引用
收藏
页码:440 / +
页数:2
相关论文
共 16 条
  • [1] A cross-layer protocol for wireless sensor networks
    Akyildiz, Ian F.
    Vuran, Mehmet C.
    Akan, Ozgur B.
    [J]. 2006 40TH ANNUAL CONFERENCE ON INFORMATION SCIENCES AND SYSTEMS, VOLS 1-4, 2006, : 1102 - 1107
  • [2] A survey on wireless multimedia sensor networks
    Akyildiz, Ian F.
    Melodia, Tommaso
    Chowdhury, Kaushik R.
    [J]. COMPUTER NETWORKS, 2007, 51 (04) : 921 - 960
  • [3] A survey on sensor networks
    Akyildiz, IF
    Su, WL
    Sankarasubramaniam, Y
    Cayirci, E
    [J]. IEEE COMMUNICATIONS MAGAZINE, 2002, 40 (08) : 102 - 114
  • [4] Guest editorial: Adaptive real-time multimedia transmission over packet switching networks
    Atiquzzaman, M
    Hassan, M
    [J]. REAL-TIME IMAGING, 2001, 7 (03) : 219 - 220
  • [5] Bushmitch D, 2002, GLOB TELECOMM CONF, P1485
  • [6] Durresi Arjan, 2008, 2008 28th International Conference on Distributed Computing Systems Workshops (ICDCS Workshops), P48, DOI 10.1109/ICDCS.Workshops.2008.110
  • [7] Instrumenting the World with wireless sensor networks
    Estrin, D
    Girod, L
    Pottie, G
    Srivastava, M
    [J]. 2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING - VOL IV: SIGNAL PROCESSING FOR COMMUNICATIONS; VOL V: SIGNAL PROCESSING EDUCATION SENSOR ARRAY & MULTICHANNEL SIGNAL PROCESSING AUDIO & ELECTROACOUSTICS; VOL VI: SIGNAL PROCESSING THEORY & METHODS STUDENT FORUM, 2001, : 2033 - 2036
  • [8] Ganesan D., 2001, MOBILE COMPUTER COMM, V5, P11, DOI [10.1145/509506.509514, DOI 10.1145/509506.509514]
  • [9] Multiple description coding: Compression meets the network
    Goyal, VK
    [J]. IEEE SIGNAL PROCESSING MAGAZINE, 2001, 18 (05) : 74 - 93
  • [10] He Tian., 2003, Proceedings of the 23rd International Conference on Distributed Computing Systems, Providence, Rhode Island, P46, DOI DOI 10.1109/ICDCS.2003.1203451