On the feasibility of power control in current IEEE 802.11 devices

Abdesslem, Fehmi Ben; Iannone, Luigi; Amorim, Marcelo Dias de; Kabassanov, K.; Fdida, Serge

doi:10.1109/percomw.2006.103

Cited by 21 publications

(18 citation statements)

References 8 publications

(9 reference statements)

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“…Deploying the parameters stated in [17], we compare the energy consumption in Table 1. More explicitly, we assume that each message lasts for 1 ms and adopt the typical value of 32 mW (15 dBm) as transmit power of peer nodes and 63 mW (18 dBm) as transmit power of APs [17].…”

Section: Comparison Of Different Combination Of |N S | and |N A |mentioning

confidence: 99%

“…More explicitly, we assume that each message lasts for 1 ms and adopt the typical value of 32 mW (15 dBm) as transmit power of peer nodes and 63 mW (18 dBm) as transmit power of APs [17]. The total energy required for transmitting the averaged traffic shown in Figure 9 is calculated, assuming that each message lasts 1 ms. Again, it demonstrates that the (5,7) combination achieves the smallest energy consumption.…”

Section: Comparison Of Different Combination Of |N S | and |N A |mentioning

confidence: 99%

See 1 more Smart Citation

Energy-efficient mobile tracking in heterogeneous networks using node selection

Hadzic

Violas

et al. 2014

J Wireless Com Network

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Range-based positioning is capable of achieving better accuracy in heterogeneous networks, where mobile nodes enabled with multiple radio access technologies are allowed to deploy not only the faraway access points but also high spatial density peer nodes as anchor nodes. However, due to peer node energy supply constraint and network capacity constraint, an efficient cooperation strategy is required. In this paper, we propose a cooperation method to track the position of a moving target with high accuracy and reduce the energy consumption and signaling overhead via node selection. It is demonstrated by simulation that in a specific practical scenario, the proposed method is capable of reducing the signaling overhead by about 34% to within 0.5-m degradation of accuracy compared to exhaustive cooperation. We also evaluate the achievable performance averaged over randomly located node configurations and compare the proposed scheme with the mostly used nearest-node selection algorithm in terms of accuracy and cost.

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Section: Comparison Of Different Combination Of |N S | and |N A |mentioning

confidence: 99%

Section: Comparison Of Different Combination Of |N S | and |N A |mentioning

confidence: 99%

Energy-efficient mobile tracking in heterogeneous networks using node selection

Hadzic

Violas

et al. 2014

J Wireless Com Network

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“…Several studies have analyzed the fidelity of transmit power control in commodity wireless network interface cards (NICs) [9,10]. Neither provides an exact calibration for our specific hardware, but they provide sufficient guidance for the type of experiments we have been performing.…”

Section: Transmit Power Precisionmentioning

confidence: 99%

Challenges in Deploying Steerable Wireless Testbeds

Anderson

Phillips

Yee

et al. 2011

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Phased array antennas enable the use of real-time beam-forming and null-steering to further increase control of signal and interference in wireless networks. Understanding the potential of this platform for both wireless mesh networks and single-hop networks is becoming more important as smart antennas begin to emerge in networking standards such as IEEE 802.11n and 802.16. Prior attempts to test non-standard antenna platforms have typically focused around simulations, fixed directional antenna testbeds that are unable to perform null-steering, and small scale temporary setups utilizing 1 or 2 phased array antenna nodes over the span of a few hundred meters. This paper presents the challenges encountered -and solutions developed -in building WART, a permanent, campus-wide testbed for wireless networking with beam-forming antennas. We use affordable commercial off-the-shelf (COTS) hardware as both a measurement apparatus and the system under test. This approach makes it possible to develop and test networking protocols using equipment similar to what may be available operationally, but also presents difficulties beyond those typically encountered with specialized measurement hardware. We show that system-level techniques can adequately overcome those component limitations.

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“…Indeed, all IEEE 802.11 radios are able to adjust their transmission rate on a per packet basis. In contrast, transmission power on a per packet basis is not customary and only several chipset vendors, in particular Atheros, have implementations that permit adjustment per packet [17]. Using packet injection along with the Click modular router, we observed with the chipsets used by our hardware (Section III-A) a granularity of 1 dBm.…”

Section: System Description: Carrier Sensing and Signal Detectionmentioning

confidence: 99%

Joint Transmission Rate, Power, and Carrier Sense Settings: An Initial Measurement Study

Huehn

Merz

Sengul

2010

2010 Fifth IEEE Workshop on Wireless Mesh Networks

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Abstract-A substantial variety of control algorithms to adjust carrier sensing, transmission power, and transmission rate have been proposed for IEEE 802.11 wireless networks in the recent literature. Their objectives range from maximizing throughput, spatial reuse, and fairness to minimizing interference and congestion within the network. However, only a few of these have been implemented and analysed in practice, often because accessing and changing the necessary parameters in the wireless hardware is too difficult. Essentially, there is little understanding about the interactions of jointly adjusted transmission rate, power and carrier sense thresholds, and their impact on the aforementioned objectives. Therefore, in this paper, we focus on transmission rate, power and carrier sensing settings. We provide a detailed description of the common IEEE 802.11 radio hardware, especially in terms of carrier-sensing circuitry. We then present our results from our validation and initial measurement study, which demonstrate interactions between transmit power and rate under different carrier-sensing settings in a two link scenario. Our initial findings indicate there exists a limited number of ratepower combinations that achieve high performance in terms of either throughput and fairness both with and without carrier sensing. Furthermore, in the case of both strong and weak links exist in the network, turning carrier sensing off significantly improves performance.

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On the feasibility of power control in current IEEE 802.11 devices

Cited by 21 publications

References 8 publications

Energy-efficient mobile tracking in heterogeneous networks using node selection

Energy-efficient mobile tracking in heterogeneous networks using node selection

Challenges in Deploying Steerable Wireless Testbeds

Joint Transmission Rate, Power, and Carrier Sense Settings: An Initial Measurement Study

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