Capture effect with diversity in IEEE 802.11b DCF

Hadzi-Velkov, Zoran; Spasenovski, B.

doi:10.1109/iscc.2003.1214199

Cited by 13 publications

(5 citation statements)

References 7 publications

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“…In wireless communication community, capture effect has been a well known phenomenon [6,12,22,23,24,26,31] and various capture models have been proposed and evaluated mostly for ALOHA networks [14,25,34,36] and recently for some 802.11 networks [15,18]. The most common model use a constant threshold (called capture ratio) for each modulation and coding scheme with the ratio of the signal strength and the summation of interference strength.…”

Section: Related Workmentioning

confidence: 99%

Experimental study of concurrent transmission in wireless sensor networks

Son

Krishnamachari

Heidemann

2006

Proceedings of the 4th International Conference on Embedded Networked Sensor Systems

245

159

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We undertake a systematic experimental study of the effects of concurrent packet transmissions in low-power wireless networks. Our measurements, conducted with Mica2 motes equipped with CC1000 radios, confirm that guaranteeing successful packet reception with high probability in the presence of concurrent transmissions requires that the signal-to-interference-plus-noise-ratio (SINR) exceed a critical threshold. However, we find a significant variation of about 6 dB in the threshold for groups of radios operating at different transmission powers. We find that it is harder to estimate the level of interference in the presence of multiple interferers. We also find that the measured SINR threshold generally increases with the number of interferers. Our study offers a better understanding of concurrent transmissions and suggests richer interference models and useful guidelines to improve the design and analysis of higher layer protocols.

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Section: Related Workmentioning

confidence: 99%

Experimental study of concurrent transmission in wireless sensor networks

Son

Krishnamachari

Heidemann

2006

Proceedings of the 4th International Conference on Embedded Networked Sensor Systems

245

159

View full text Add to dashboard Cite

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“…. To find P cp , we used the capture model that is derived under the hypothesis of power-controlled stations in infrastructure mode and Rayleigh fading [30,31]. The function g(s f ) is the inverse processing gain where s f = 11 for using the direct sequence spread spectrum (DSSS) and Z 0 is the capture threshold.…”

Section: Analytical Modelmentioning

confidence: 99%

A Joint Strategy for Fair and Efficient Energy Usage in WLANs in the Presence of Capture Effect

2019

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Capture effect has been shown as a physical layer (PHY) phenomenon of modern wireless devices that improves the performance of wireless local area networks (WLANs) in terms of throughput. In this paper, however, we explore the effect of PHY capture in the domain of energy efficiency. Analysis model that takes into account the effect of PHY capture is backed up by ns-2 simulations show that capture effect improves energy efficiency of WLAN by 20%. This improvement, however, results in unfairness, i.e, a group of nodes located far away from the Access Point (AP) is three times less energy efficient than the group of nodes located closer to the AP. To resolve the unfairness caused by the capture effect, furthermore, this paper proposes a joint strategy of adaptive transmission power control (ATXPR) and contention window adjustment (CWADJ). Namely, a node that suffers transmission failure due to another node capturing the channel steps up its transmission power according to the transmission power control algorithm and refrains from increasing its contention window according to contention window adjustment mechanism, respectively. Our proposed joint strategy is 99% fair while maintaining overall energy efficiency of the network.

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“…Recent work about capture focused mostly on studying its effect on IEEE 802.11 (CSMA/CA) networks. In particular, Hadzi-Velkov and Spasenovski [23], [24], [25] extended the model of Bianchi [5] to networks with capture. The effects of different distances and different power levels have been studied in [36], [45].…”

Section: Related Workmentioning

confidence: 99%

MAC for Networks with Multipacket Reception Capability and Spatially Distributed Nodes

Çelik

Zussman

Khan

et al. 2010

IEEE Trans. on Mobile Comput.

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Abstract-The physical layer of future wireless networks will be based on novel radio technologies such as UWB and MIMO. One of the important capabilities of such technologies is the ability to capture a few packets simultaneously. This capability has the potential to improve the performance of the MAC layer. However, we show that in networks with spatially distributed nodes, reusing backoff mechanisms originally designed for narrow-band systems (e.g., CSMA/CA) is inefficient. It is well known that when networks with spatially distributed nodes operate with such MAC protocols, the channel may be captured by nodes that are near the destination, leading to unfairness. We show that when the physical layer enables multipacket reception, the negative implications of reusing the legacy protocols include not only such unfairness, but also a significant throughput reduction. We present alternative backoff mechanisms and evaluate their performance via Markovian analysis, approximations, and simulation. We show that our alternative backoff mechanisms can improve both overall throughput and fairness.

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Capture effect with diversity in IEEE 802.11b DCF

Cited by 13 publications

References 7 publications

Experimental study of concurrent transmission in wireless sensor networks

Experimental study of concurrent transmission in wireless sensor networks

A Joint Strategy for Fair and Efficient Energy Usage in WLANs in the Presence of Capture Effect

MAC for Networks with Multipacket Reception Capability and Spatially Distributed Nodes

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