On link-level starvation in dense 802.11 wireless community networks

  • Authors:
  • Cunqing Hua;Rong Zheng

  • Affiliations:
  • Institute of Information and Communication Engineering, Zhejiang University, Hangzhou 310027, China and Zhejiang Provincial Key Laboratory of Information Network Technology, Hangzhou 310027, China;Department of Computer Science, University of Houston, Houston, TX 77204, United States

  • Venue:
  • Computer Networks: The International Journal of Computer and Telecommunications Networking
  • Year:
  • 2010

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Abstract

With the growing number of spontaneously deployed WiFi hotspots and home networks, end-users often experience significant performance degradation or even starvation. However, we observe that tuning individual system parameters (channel, Tx power, carrier sense threshold, transmit rate, etc.) is insufficient and may lead to starvation in some cases. In this paper, we develop a comprehensive analytical model to characterize the throughput of individual links in dense IEEE 802.11 wireless community networks that accounts for heterogeneous transmission power levels and CS thresholds, as well as various sources of packet collisions. Based on the insight from the theoretical analysis, we propose a simple identification mechanism that can determine the sources of starvation using local measurements. Both the theoretical model and the identification algorithm are validated using testbed experiments and ns-2 simulations.