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Performance Evaluation of Reservation Frame Slotted-ALOHA for Data Collection M2M Networks

机译:预留帧时隙-Aloha进行数据收集M2M网络的性能评估

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In this paper, we consider a Machine-to-Machine (M2M) wireless network composed of a group of devices which duty cycle to save energy. These devices operate in low-power sleeping mode for most of the time and, periodically, they wake-up to listen to a poll packet transmitted by a data collector. Upon this broadcast poll, all devices try to get access to the uplink channel to transmit a burst of data packets. Therefore, the idle network is suddenly set into saturation conditions when all devices wake up and attempt to get access to the channel simultaneously. The Medium Access Control (MAC) protocol used to coordinate these transmissions has a strong influence on the energy efficiency of the network, and thus the lifetime of the devices. Frame Slotted ALOHA (FSA) has been identified in the literature as a simple yet efficient MAC protocol for such kind of communications. However, when the devices have to transmit more than one data packet per channel invocation, the Reservation Frame Slotted- ALOHA (RFSA) may be more efficient, since it guarantees the collision-free transmission of data for a device once it succeeds for the first time. Existing analyzes of both FSA and RFSA are valid for steady traffic conditions and not for abrupt idle-to-saturation traffic patterns. Motivated by this fact, in this paper we evaluate the energy efficiency of RFSA through computerbased simulations to show its better performance compared to FSA. Results show that RFSA can attain up to 48% energy gains compared to FSA, thus extending the lifetime of data-collection M2M networks.
机译:在本文中,我们考虑由一组设备组成的机器到机器(M2M)无线网络,该设备占空比节省能量。这些设备在大部分时间内以低功耗睡眠模式运行,周期性地,它们唤醒以收听数据收集器传输的民意调查分组。在该广播轮询之上,所有设备都尝试访问上行链路信道以发送数据分组的突发。因此,当所有设备唤醒并尝试同时访问通道时,空闲网络突然被设置为饱和条件。用于坐标这些传输的媒体访问控制(MAC)协议对网络的能量效率产生了强烈影响,从而产生了设备的寿命。在文献中被识别出帧时隙Aloha(FSA)作为这种通信的简单且有效的MAC协议。然而,当设备每通道调用传输多于一个数据分组时,预留帧开槽 - Aloha(RFSA)可能更有效,因为它保证了一旦它成功为第一个设备对设备的无碰撞传输时间。 FSA和RFSA的现有分析对于稳定的交通状况有效,而不是用于突然到饱和的流量模式。在这一事实中,在本文中,我们通过计算机式模拟评估RFSA的能量效率,与FSA相比表现出更好的性能。结果表明,与FSA相比,RFSA可以获得高达48%的能源增益,从而扩展了数据集合M2M网络的寿命。

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