PEI Tingrui, LEI Fangqing, LI Zhetao, et al., “A Delay-Aware Congestion Control Protocol for Wireless Sensor Networks,” Chinese Journal of Electronics, vol. 26, no. 3, pp. 591-599, 2017, doi: 10.1049/cje.2017.04.010
Citation: PEI Tingrui, LEI Fangqing, LI Zhetao, et al., “A Delay-Aware Congestion Control Protocol for Wireless Sensor Networks,” Chinese Journal of Electronics, vol. 26, no. 3, pp. 591-599, 2017, doi: 10.1049/cje.2017.04.010

A Delay-Aware Congestion Control Protocol for Wireless Sensor Networks

doi: 10.1049/cje.2017.04.010
Funds:  This work is supported by the National Natural Science Foundation of China (No.61372049, No.61379115, No.61311140261, No.61100215, No.61300039), Basic Science Research Program Through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (No.2015R1D1A1A01058025), Hunan Provincial Natural Science Foundation of China (No.13JJ8006, No.12JJ9021, No.14JJ3130), and the Construct Program of the Key Discipline in Hunan Province.
More Information
  • Corresponding author: LI Zhetao (corresponding author) is a professor and master supervisor in Xiangtan University. His main research interests include wireless network and compressive sensing.(Email:liztchina@hotmail.com)
  • Received Date: 2015-01-13
  • Rev Recd Date: 2015-06-18
  • Publish Date: 2017-05-10
  • In wireless sensor networks, congestion leads to buffer overflowing, and increases delay. The traditional solutions use rate adjustment to mitigate congestion, thus increasing the delay. A Delay-aware congestion control protocol (DACC) was presented to mitigate congestion and decrease delay. In order to improve the accuracy of the existing congestion detection model which is based on the buffer occupancy of a single node, DACC presents a new model considering both the real-time buffer occupancy and the average transmission time of packets. DACC uses the untapped bits in the IEEE 802.11 Distributed coordination function (DCF) frames header to carry congestion information. During the congestion alleviation period, DACC presents a channel occupancy mechanism which is based on the real-time buffer occupancy for the purpose of decreasing delay and preventing packet loss. Simulation results indicate that in terms of delay, packet delivery ratio, collision and buffer load, DACC has comparative advantages than those of 802.11 DCF, Priority-based congestion control protocol (PCCP) and Decoupling congestion control and fairness (DCCF).
  • loading
  • J. Yick, B. Mukherjee and D. Ghosal, "Wireless sensor network survey", Computer Networks, Vol.52, No.12, pp.2292-2330, 2008.
    S. Borasia and V. Raisinghani, "A review of congestion control mechanisms for wireless sensor networks", Springer Berlin Heidelberg Technology Systems and Management, pp.201-206, 2011.
    A. Rezaei and M.K. Rafsanjani, "Congestion control protocols in wireless sensor networks:A survey", Journal of American Science, Vol.8, No.12, pp.772-777, 2012.
    C. Luo and W.X. Xie, "Fuzzy AQM for congestion avoidance and control in sensor networks", Chinese Journal of Electronics, Vol.42, No.4, pp.679-684, 2014.
    G. Li, J. Li and B. Yu, "Lower bound of weighted fairness guaranteed congestion control protocol for WSNs", Proceedings of IEEE INFOCOM, pp.3046-3050, 2012.
    C.Y. Wan, S.B. Eisenman and A.T. Campbell, "CODA:Congestion detection and avoidance in sensor networks", Proceedings of the 1st ACM International Conference on Embedded Networked Sensor Systems, pp.266-279, 2003.
    M.A. Kafi, D. Djenouri and J.B. Othman, "Interference-aware congestion control protocol for wireless sensor networks", Procedia Computer Science, pp.181-188, 2014.
    M. Gholipour, A.T. Haghighat and M.R. Meybodi, "Hop-byhop traffic-aware routing to congestion control in wireless sensor networks", EURASIP Journal on Wireless Communications and Networking, pp.1-13, 2015.
    C. Wang, K. Sohraby, V. Lawrence, et al., "Priority-based congestion control in wireless sensor networks", IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, pp.1-8, 2006.
    S. Brahma, M. Chatterjee, K. Kwiat, et al., "Traffic management in wireless sensor networks:Decoupling congestion control and fairness", Computer Communications, Vol.35, No.6, pp.670-681, 2012.
    G. Bianchi, "Performance analysis of the IEEE 802.11 distributed coordination function", IEEE Journal on Selected Areas in Communications, Vol.18, No.3, pp.535-547, 2000.
    Xu Li-Bo and Wu Guo-Xin, "Analysis on congestion control strategy based on time series deduction", Chinese Journal of Computers, Vol.30, No.12, pp.1639-1644, 2007.(in Chinese)
    L. Fangmin, M. Xiaolin and H. Fei, "Synchronisation-based, multi-channel multi-interface medium access scheme in ad hoc network", IET Communications, Vol.5, No.14, pp.2082-2090, 2011.
    A.K. Mahani, H.F. Rashvand and E. Teimoury, "Wireless mesh networks channel reservation:Modelling and delay analysis", IET Communications, Vol.3, No.5, pp.772-783, 2009.
    G. Pongor, "Omnet:Objective modular network testbed", Proceedings of the International Workshop on Modeling, Analysis, and Simulation On Computer and Telecommunication Systems. Society for Computer Simulation International, pp.323-326, 1993.
    K. Akkaya and M. Younis, "An energy-aware QoS routing protocol for wireless sensor networks", IEEE 23rd International Conference on Distributed Computing Systems Workshops, pp.710-715, 2003.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (363) PDF downloads(1282) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return