4.7 Article

Energy-Efficient mm-Wave Backhauling via Frame Aggregation in Wide Area Networks

期刊

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
卷 20, 期 10, 页码 6954-6970

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2021.3079345

关键词

Wireless communication; Logic gates; Standards; Real-time systems; Wireless sensor networks; Power demand; Communication cables; Wireless LAN; frame aggregation; wireless mesh networks; power saving; millimeter wave; wireless backhaul; wide area networks; seismic measurements; wireless geophone networks

资金

  1. Center for Energy and Geo Processing at Georgia Institute of Technology
  2. King Fahd University of Petroleum & Minerals (KFUPM) [GTEC1601]

向作者/读者索取更多资源

A novel wireless network architecture compliant with the IEEE 802.11ad standard is proposed for establishing scalable, energy-efficient, and gigabit-rate backhaul across large areas, meeting the needs of surveying applications such as seismic data acquisition.
Wide area networks for surveying applications, such as seismic acquisition, have been witnessing a significant increase in node density and area, where large amounts of data have to be transferred in real-time. While cables can meet these requirements, they account for a majority of the equipment weight, maintenance, and labor costs. A novel wireless network architecture, compliant with the IEEE 802.11ad standard, is proposed for establishing scalable, energy-efficient, and gigabit-rate backhaul across very large areas. Statistical path-loss and line-of-sight models are derived using real-world topographic data in well-known seismic regions. Additionally, a cross-layer analytical model is derived for 802.11 systems that can characterize the overall latency and power consumption under the impact of co-channel interference. On the basis of these models, a Frame Aggregation Power-Saving Backhaul (FA-PSB) scheme is proposed for near-optimal power conservation under a latency constraint, through a duty-cycled approach. A performance evaluation with respect to the survey size and data generation rate reveals that the proposed architecture and the FA-PSB scheme can support real-time acquisition in large-scale high-density scenarios while operating with minimal power consumption, thereby enhancing the lifetime of wireless seismic surveys. The FA-PSB scheme can be applied to cellular backhaul and sensor networks as well.

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