972 research outputs found
Capacity Analysis of IEEE 802.11ah WLANs for M2M Communications
Focusing on the increasing market of the sensors and actuators networks, the
IEEE 802.11ah Task Group is currently working on the standardization of a new
amendment. This new amendment will operate at the sub-1GHz band, ensure
transmission ranges up to 1 Km, data rates above 100 kbps and very low power
operation. With IEEE 802.11ah, the WLANs will offer a solution for applications
such as smart metering, plan automation, eHealth or surveillance. Moreover,
thanks to a hierarchical signalling, the IEEE 802.11ah will be able to manage a
higher number of stations (STAs) and improve the 802.11 Power Saving
Mechanisms. In order to support a high number of STAs, two different signalling
modes are proposed, TIM and Non-TIM Offset. In this paper we present a
theoretical model to predict the maximum number of STAs supported by both modes
depending on the traffic load and the data rate used. Moreover, the IEEE
802.11ah performance and energy consumption for both signalling modes and for
different traffic patterns and data rates is evaluated. Results show that both
modes achieve similar Packet Delivery Ratio values but the energy consumed with
the TIM Offset is, in average, a 11.7% lower.Comment: Multiple Access Communications 201
Wi-Fi Teeter-Totter: Overclocking OFDM for Internet of Things
The conventional high-speed Wi-Fi has recently become a contender for
low-power Internet-of-Things (IoT) communications. OFDM continues its adoption
in the new IoT Wi-Fi standard due to its spectrum efficiency that can support
the demand of massive IoT connectivity. While the IoT Wi-Fi standard offers
many new features to improve power and spectrum efficiency, the basic physical
layer (PHY) structure of transceiver design still conforms to its conventional
design rationale where access points (AP) and clients employ the same OFDM PHY.
In this paper, we argue that current Wi-Fi PHY design does not take full
advantage of the inherent asymmetry between AP and IoT. To fill the gap, we
propose an asymmetric design where IoT devices transmit uplink packets using
the lowest power while pushing all the decoding burdens to the AP side. Such a
design utilizes the sufficient power and computational resources at AP to trade
for the transmission (TX) power of IoT devices. The core technique enabling
this asymmetric design is that the AP takes full power of its high clock rate
to boost the decoding ability. We provide an implementation of our design and
show that it can reduce the IoT's TX power by boosting the decoding capability
at the receivers
Arbitrating Traffic Contention for Power Saving with Multiple PSM Clients
Data transmission over WiFi quickly drains the batteries of mobile devices. Although the IEEE 802.11 standards provide power save mode (PSM) to help mobile devices conserve energy, PSM fails to bring expected benefits in many real scenarios. In particular, when multiple PSM mobile devices associate to a single access point (AP), PSM does not work well under transmission contention. Optimizing power saving of multiple PSM clients is a challenging task, because each PSM client expects to complete data transmission early so that it can turn to low power mode. In this paper, we define an energy conserving model to describe the general PSM traffic contention problem. We prove that the optimization of energy saving for multiple PSM clients under constraint is an NPcomplete problem. Following this direction, we propose a solution called harmonious power saving mechanism (HPSM) to address one specific case, in which multiple PSM clients associate to a single AP. In HPSM, we first use a basic sociological concept to define the richness of a PSM client based on the link resource it consumes. Then, we separate these poor PSM clients from rich PSM clients in terms of link resource consumption and favor the former to save power when they face PSM transmission contention. We implement prototypes of HPSM based on the open source projects Mad-wifi and NS-2. Our evaluations show that HPSM can help the poor PSM clients effectively save power while only slightly degrading the rich PSM clients\u27 performance in comparison with the existing PSM solutions
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