In this paper we propose an energy efficient idle scanning method of local area networks, which could be provided within the framework of Automated Network Discovery and Service Function in 3GPP Long Term Evolution. Further, we combine it with a proposal to utilize an accelerometer, to limit the amount of scans during times when the UE is not moving. We evaluate the scanning strategies in a residential scenario where a model for varying access point density is applied based on the uptake of the 802.11n technology. We further extend this scenario by proposing a mobility model. The results show that without assistance the UE will spend a significant amount of energy on scanning in areas with low density of access points, which will result in insufficient stand-by performance. Further, our studies show that the proposed assistance with channel knowledge is an effective way to keep the energy consumption at a tolerable level.
With the introduction of IEEE 802.11 power save mode (PSM), a lot of work has been done to enhance the energy saving ability of the nodes. The ultimate goal of the research is to make the networking equipments carbon neutral and prolong the lifetime of the energy limited devices for various applications; in some cases it is a trade-off between energy efficiency and delay. However, few studies have been made until now in the area of IEEE 802.11s based link specific power save mode. The link specific power save mode is a totally new concept. The essence of this method is the ability of a node to maintain different power save modes with its peer nodes. In this paper, the performance of the link specific PSM for FTP-TCP traffic is studied from the energy efficiency point of view. The throughput, the percentage of energy saving and the flow level fairness are examined in this study. Our results indicate that for a suitable combination of link specific PSM, the network not only achieves the same throughput as the active mode operation offers but also saves a significant amount of energy. The study also suggests that there is a tradeoff among throughput, percentage of energy saving and fairness.
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