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OPTIMALLY FLEXIBLE ENERGY CONSERVING PROTOCOL FOR CONNECTIONLESS ORIENTED SYSTEMS

机译:面向无连接系统的最佳灵活节能协议

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Quorum-based Power-Saving (QPS) protocols have been proposed for ad hoc networks (e. g., IEEE 802.11 ad hoc mode) to increase energy efficiency and prolong the operational time of mobile stations. These protocols assign to each station a cycle pattern that specifies when the station should wake up (to transmit/receive data) and sleep (to save battery power). In all existing QPS protocols, the cycle length is either identical for all stations or is restricted to certain numbers (e.g., squares or primes). These restrictions on cycle length severely limit the practical use of QPS protocols as each individual station may want to select a cycle length that is best suited for its own need (in terms of remaining battery power, tolerable packet delay, and drop ratio). In this paper, the authors have proposed the notion of Hyper Quorum System (HQS)-a generalization of QPS that allows for arbitrary cycle lengths. We describe algorithms to generate two different classes of HQS given any set of arbitrary cycle lengths as input. They have also described how to find the optimal cycle length for a station to maximize energy efficiency, subject to certain performance constraints. Then they have presented analytical and simulation results that show the benefits of HQS-based power-saving protocols over the existing QPS protocols. The HQS protocols yield up to 41% improvement in energy efficiency under heavy traffic loads while eliminating more than 90% delay drops under light traffic loads.
机译:已经提出了用于ad hoc网络(例如,IEEE 802.11 ad hoc模式)的基于仲裁的节能(QPS)协议,以提高能量效率并延长移动站的操作时间。这些协议为每个站点分配一个循环模式,该模式指定站点何时应唤醒(发送/接收数据)和睡眠(以节省电池电量)。在所有现有的QPS协议中,周期长度对于所有站都是相同的,或者被限制为某些数字(例如,平方或素数)。这些对周期长度的限制严重限制了QPS协议的实际使用,因为每个单独的站点可能希望选择最适合其自身需求的周期长度(就剩余电池电量,可容忍的数据包延迟和丢包率而言)。在本文中,作者提出了超仲裁系统(HQS)的概念-一种允许任意循环长度的QPS推广。我们描述了在任意一组任意周期长度作为输入的情况下生成两种不同类别的HQS的算法。他们还描述了如何在某些性能约束下为站点找到最佳的循环长度以最大程度地提高能源效率。然后,他们提出了分析和仿真结果,这些结果显示了基于HQS的节能协议优于现有QPS协议的优势。 HQS协议在交通流量大的情况下,能效提高了41%,而在交通流量小的情况下,消除了90%以上的延迟下降。

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