IEEE 802.15.6 IR-UWB无线宽带网络的能源效率和资源分配:现状和未来方向

Yang Liu, Kemal Davaslioglu, R. Gitlin
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引用次数: 1

摘要

无线体域网(wban)的网络寿命对其运行至关重要。网络寿命的一个组成部分是设备的能量效率,并使其传输具有物理层(PHY)和介质访问控制(MAC)参数的最佳选择。特别是,在下一代无线网络中,设备和传感器是异构的,并且共存于同一地理区域,可能会产生相互碰撞和干扰,因此需要有效地利用电池电量。本文由四个互补部分组成。在前两部分中,我们研究了之前工作中提出的两种优化算法。第一种算法,跨层优化能效(CLOEE),使我们能够进行跨层资源分配,解决物理层的速率和可靠性权衡,以及MAC层的帧大小优化和传输效率。第二种算法是信道访问概率的能效优化算法(Energy Efficiency Optimization of Channel Access Probabilities, EECAP),该算法研究节点以概率方式访问介质的情况,共同确定每个节点的最优访问概率和负载帧大小。这两种算法从优化的角度解决了这个问题。在论文的第三部分,我们从博弈论的角度研究了同样的问题。最后,总结了提高wban的能效和网络寿命所面临的挑战和未来的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy efficiency and resource allocation of IEEE 802.15.6 IR-UWB WBANs: Current state-of-the-art and future directions
Network life time of Wireless Body Area Network (WBANs) is essential for its operation. An integral part of the network life time is the energy efficiency of the devices and enabling their transmissions with the optimal choice of Physical layer (PHY) and Medium Access Control (MAC) parameters. Particularly, in the next generation wireless networks, where devices and sensors are heterogeneous and coexist in the same geographical area creating possible collisions and interference to each other, the battery power needs to be efficiently used. This paper consists of four complementing parts. In the first two parts, we study the two optimization algorithms proposed in our prior work. The first algorithm, Cross-Layer Optimization for Energy Efficiency (CLOEE), enables us to carry out a cross-layer resource allocation that addresses the rate and reliability trade-off in the PHY as well as the frame size optimization and transmission efficiency for the MAC layer. The second algorithm, Energy Efficiency Optimization of Channel Access Probabilities (EECAP), studies the case where the nodes access the medium in a probabilistic manner and jointly determines the optimal access probability and payload frame size for each node. These two algorithms address the problem from an optimization perspective. In the third part of the paper, we study the same problem from a game theoretical point of view. The last part of the paper is devoted to summarizing the challenges ahead and future research directions to increase the energy efficiency and network life time of WBANs.
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