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Adaptive Packetization for Error-Prone Transmission over 802.11 WLANs with Hidden Terminals

机译:具有隐藏终端的802.11 WLAN超过802.11 WLAN的适应性包

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Collision and fading are the two main sources of packet loss in wireless local area networks (WLANs) and as such, both are affected by the packetization at the medium access control (MAC) layer. While a larger packet is preferred to balance protocol header overhead, a shorter packet is less vulnerable to packet loss due to channel fading errors or staggered collisions in the presence of hidden terminals. Direct collisions due to backoff are not affected by packet size. Recently, Krishnan et. al. have developed a new technique for estimating probabilities of various components of packet loss, namely, direct and staggered collisions and fading. Motivated by this work, in this paper, we exploit ways in which packetization can be used to improve throughput performance of WLANs. We first show analytically that the effective throughput is a unimodal function of the packet size when considering both channel fading and staggered collisions. We then develop a measurement-based algorithm based on golden section search to arrive at an optimal packet size for MAC-layer transmissions. Our simulations demonstrate that packetization based on our search algorithm can greatly improve the effective throughput of sensing-limited nodes, and reduce video frame transfer delay in WLANs.
机译:碰撞和衰落是无线局域网(WLAN)中的两种主要零件源,因此,两者都受到媒体访问控制(MAC)层的分组的影响。虽然较大的数据包是优选平衡协议标题开销,但是较短的数据包由于在存在隐藏终端存在的信道衰减误差或交错的碰撞而导致的数据包丢失。由于退避导致的直接碰撞不受数据包大小的影响。最近,克里希南等。 al。已经开发出一种新的技术,用于估算数据包丢失的各种部件的概率,即直接和交错的碰撞和衰落。本文的激励,在本文中,我们利用了分组化的方式来改善WLAN的吞吐量性能。我们首先在考虑频道衰落和交错碰撞时,有效吞吐量是分组大小的单向功能。然后,我们基于Golden Pare搜索开发一种基于测量的算法,以实现MAC层传输的最佳分组大小。我们的模拟表明,基于我们的搜索算法的分组可以大大提高感应限制节点的有效吞吐量,并降低WLAN中的视频帧传输延迟。

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