Fair data flows scheduling schema for multihop wireless ad hoc networks

Hamidreza Salarian, P. Khadivi
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引用次数: 4

Abstract

One of the most critical problems in multihop wireless networks is the fair allocation of bandwidth among different nodes. Although there are significant researches on the fairness issues in single-hop wireless networks, research on multihop fairness rarely found in the literature. A user in multi-hop network, besides the contention with other nodes to obtain the channel in physical layer, must find a solution for the inevitable contention between its own and the relayed traffic in the network layer. Accordingly, a suitable mechanism is needed to schedule data flows in network layer fairly. In this paper, a new algorithm is proposed which tries to allocate node's bandwidth fairly between different contention traffic flows. The main purpose of this algorithm, named HBPQ (History Based Priority Queuing) is the prevention of starvation occurrence for any active flow in the network. HBPQ uses a satisfaction function to measure the user's gratifications and tries to bring close the satisfaction of users. If HBPQ is used for flow scheduling in multihop wireless ad-hoc networks, the simulation results show that each active network's flow, receives a throughput proportional to distance between its source and destination and existing traffic load on its traversed path.
多跳无线自组织网络的公平数据流调度方案
多跳无线网络中最关键的问题之一是在不同节点之间公平分配带宽。虽然对单跳无线网络的公平性问题已经有了大量的研究,但对多跳无线网络公平性的研究却很少。在多跳网络中,用户除了要与其他节点争夺物理层的信道外,还必须解决自己的业务与网络层中继业务之间不可避免的竞争问题。因此,需要一种合适的机制来公平地调度网络层的数据流。本文提出了一种新的算法,在不同的竞争流量之间公平地分配节点带宽。该算法名为HBPQ(基于历史的优先级排队),其主要目的是防止网络中任何活动流出现饥饿。HBPQ使用满意度函数来衡量用户的满意程度,尽量接近用户的满意度。将HBPQ用于多跳无线自组织网络的流量调度,仿真结果表明,每个活动网络的流量接收到的吞吐量与源和目的之间的距离以及所穿越路径上的现有流量负载成正比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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