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首页> 外文期刊>International journal of ad hoc and ubiquitous computing >Load balancing and adaptive scheduling for data intensive prioritised traffic in multi-radio multi-channel wireless mesh networks
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Load balancing and adaptive scheduling for data intensive prioritised traffic in multi-radio multi-channel wireless mesh networks

机译：多无线电多信道无线网状网络中用于数据密集型优先流量的负载平衡和自适应调度

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摘要

In recent times, wireless technology has emerged as a key technology for many data intensive applications such as Video on Demand (VoD), Voice over IP (VoIP), high speed internet access, video conferencing, etc. All these applications require high data rate so that data can be transmitted to the end users in a prioritised manner. The underlying system that suits these applications better is the Wireless Mesh Network (WMN), because it is a special type of network which is cost effective, resilient and adaptive. To preserve the Quality of Service (QoS) for all these applications, in this paper, we propose a Load Balancing and Adaptive Scheduling (LBAS) algorithm for data intensive prioritised traffic in WMNs. To schedule the incoming traffic, the Available Capacity (AC) and Load Index (LI) of each link is calculated. A new Cost Evaluation Function (CEF) is defined based upon the values of AC and LI. Each traffic flow is also associated with Rate Index (RI) and Delay Estimation (DE). Each link has lower and upper bounds on AC, and as soon as the load on a particular link crosses these bounds, the load is transferred to another link dynamically at run time. Higher priority traffic will be assigned to the link having high value of AC to minimise DE, and simultaneously, a matrix for LI is also constructed. This matrix is used to keep track of the system load at run time, so that scheduling can be done for the incoming traffic in a prioritised manner based upon the values of AC and LI. The performance of the proposed algorithm is evaluated using simulations on ns-2 with respect to various metrics. The results obtained show that the proposed algorithm is quite effective for balancing the load of multiclass traffic flows.
机译：近年来，无线技术已成为许多数据密集型应用程序的关键技术，例如视频点播（VoD），IP语音（VoIP），高速互联网访问，视频会议等。所有这些应用程序都需要高数据速率以便可以按优先级将数据传输到最终用户。更适合这些应用程序的基础系统是无线网状网络（WMN），因为它是一种具有成本效益，弹性和自适应性的特殊类型的网络。为了保留所有这些应用程序的服务质量（QoS），本文针对WMN中数据密集型优先流量提出了负载平衡和自适应调度（LBAS）算法。为了调度传入流量，需要计算每个链路的可用容量（AC）和负载指数（LI）。基于AC和LI的值定义了新的成本评估函数（CEF）。每个业务流还与速率索引（RI）和延迟估计（DE）相关联。每个链接在AC上都有上限和下限，并且一旦特定链接上的负载越过这些限制，负载就会在运行时动态地转移到另一个链接上。较高优先级的流量将分配给具有高AC值的链路，以使DE最小化，同时，还将构建LI矩阵。该矩阵用于在运行时跟踪系统负载，以便可以基于AC和LI的值以优先方式对传入流量进行调度。相对于各种指标，使用ns-2上的仿真评估了所提出算法的性能。所得结果表明，该算法对于均衡多类业务流的负载非常有效。

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