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Performance evaluation of distributed co-ordination function for IEEE 802.11 wireless LAN protocol in presence of mobile and hidden terminals

机译:在存在移动终端和隐藏终端的情况下,IEEE 802.11无线局域网协议的分布式协调功能的性能评估

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This paper investigates the performance of IEEE 802.11 wireless local area network (WLAN) protocol's distributed coordination function (DCF) in the presence of mobile and hidden terminals. In order to study the joint effect of hidden terminals and user mobility on the performance of IEEE 802.11 DCF, we extend Tobagi and Kleinrock's (1975) hearing graph framework to model hidden terminals in a static environment. We derive a combined mobility and hidden terminal model using a Markov chain from the hearing graph of a given physical layout. The simple model uses two parameters: /spl alpha/, which controls the number of hidden terminals in the steady state, and /spl lambda/, which controls the rate of mobility of each terminal. By varying the values of /spl alpha/ and /spl lambda/ we can systematically generate scenario with different number of hidden terminals and different mobility rates for a particular physical layout with static obstructions. We have developed a discrete event simulator which uses the parameterized model to obtain the throughput and blocking probability behavior of an IEEE 802.11 based ad hoc network in the presence of certain static obstructions. Our simulations suggest that the IEEE 802.11 DCF protocol is robust enough to handle moderate conditions of hidden terminals and mobility, but the performance may degrade under extreme conditions. Carefully selecting protocol parameters (RTS and fragmentation threshold) can help improve the performance even under extreme conditions.
机译:本文研究了存在移动终端和隐藏终端的情况下IEEE 802.11无线局域网(WLAN)协议的分布式协调功能(DCF)的性能。为了研究隐藏终端和用户移动性对IEEE 802.11 DCF性能的共同影响,我们扩展了Tobagi和Kleinrock(1975)的听力图框架,以在静态环境中对隐藏终端进行建模。我们从给定物理布局的听觉图中使用马尔可夫链推导了组合的移动性和隐藏终端模型。该简单模型使用两个参数:/ spl alpha /(用于控制稳态下的隐藏终端数量)和/ spl lambda /(用于控制每个终端的移动速率)。通过更改/ spl alpha /和/ spl lambda /的值,我们可以针对具有静态障碍物的特定物理布局,系统地生成具有不同数量的隐藏终端和不同移动率的方案。我们已经开发了一种离散事件模拟器,该模拟器使用参数化模型在存在某些静态障碍的情况下获得基于IEEE 802.11的ad hoc网络的吞吐量和阻塞概率行为。我们的仿真表明,IEEE 802.11 DCF协议足够强大,可以处理中等程度的隐藏终端和移动性条件,但是在极端条件下性能可能会下降。仔细选择协议参数(RTS和分段阈值)可以帮助提高性能,即使在极端条件下也是如此。

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