Why RTS-CTS is not your ideal wireless LAN multiple access protocol

Sobrinho, J.L.; Haan, Roland de; Brazio, J.M.

doi:10.1109/wcnc.2005.1424480

Cited by 57 publications

(34 citation statements)

References 6 publications

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“…As a solution to this problem, an exchange of request to send (RTS) and clear to send (CTS) frames is described in the IEEE 802.11 standard. However, as widely highlighted in the literature [31], the RTS/CTS mechanism introduces an important overhead and reduces the capacity of the network in terms of throughput since each node has to transmit the RTS and wait for the CTS response before any transmission. Furthermore, in specific scenarios, this mechanism fails to eliminate hidden nodes [32].…”

Section: Hidden Node Scenariomentioning

confidence: 99%

Novel learning-based spatial reuse optimization in dense WLAN deployments

Jamil

Cariou

Hélard

2016

J Wireless Com Network

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To satisfy the increasing demand for wireless systems capacity, the industry is dramatically increasing the density of the deployed networks. Like other wireless technologies, Wi-Fi is following this trend, particularly because of its increasing popularity. In parallel, Wi-Fi is being deployed for new use cases that are atypically far from the context of its first introduction as an Ethernet network replacement. In fact, the conventional operation of Wi-Fi networks is not likely to be ready for these super dense environments and new challenging scenarios. For that reason, the high efficiency wireless local area network (HEW) study group (SG) was formed in May 2013 within the IEEE 802.11 working group (WG). The intents are to improve the "real world" Wi-Fi performance especially in dense deployments. In this context, this work proposes a new centralized solution to jointly adapt the transmission power and the physical carrier sensing based on artificial neural networks. The major intent of the proposed solution is to resolve the fairness issues while enhancing the spatial reuse in dense Wi-Fi environments. This work is the first to use artificial neural networks to improve spatial reuse in dense WLAN environments. For the evaluation of this proposal, the new designed algorithm is implemented in OPNET modeler. Relevant scenarios are simulated to assess the efficiency of the proposal in terms of addressing starvation issues caused by hidden and exposed node problems. The extensive simulations show that our learning-based solution is able to resolve the hidden and exposed node problems and improve the performance of high-density Wi-Fi deployments in terms of achieved throughput and fairness among contending nodes.

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Section: Hidden Node Scenariomentioning

confidence: 99%

Novel learning-based spatial reuse optimization in dense WLAN deployments

Jamil

Cariou

Hélard

2016

J Wireless Com Network

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“…CSMA/CA is widely used to avoid overloading a busy channel and to avoid hidden terminals, by handshaking RT-S/CTS packets. However, global signalling can reduce wireless network performance as a result of interference errors or even cause blocking of multiple nodes and congestion [5].…”

Section: Motivationmentioning

confidence: 99%

Adaptive Intelligent Middleware Architecture for Mobile Real-Time Communications

Pease

Phillips

Guan

2016

IEEE Trans. on Mobile Comput.

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“…Frequency Division Multiple Access (FDMA), Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA) and Carrier Sense Multiple Access (CSMA) (Jain and Das 2006) are four basic access methods to categorize MAC-level protocols. Standard collision avoidance protocols like RTS-CTS (Sobrinho et al 2005) cannot be directly applied in RFID systems due to the reason, in traditional wireless networks, the CTS are sent back to the sender. Similar situation in RFID system, when a reader broadcasts an RTS, all tags in the read range need to send back CTS to the reader.…”

Section: Related Workmentioning

confidence: 99%

Threshold jumping and wrap-around scan techniques toward efficient tag identification in high density RFID systems

Hsu¹,

Chao²,

Park

2009

Inf Syst Front

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With the emergence of wireless RFID technologies, the problem of Anti-Collision has been arousing attention and instigated researchers to propose different heuristic algorithms for advancing RFID systems operated in more efficient manner. However, there still have challenges on enhancing the system throughput and stability due to the underlying technologies had faced different limitation in system performance when network density is high. In this paper, we present a Threshold Jumping (TJ) and a Wrap-Around Scan (WAS) techniques, which are query tree based approaches, aiming to coordinate simultaneous communications in high density RFID environments, to speedup tag identification, to increase the overall read rate and to improve system throughput in largescale RFID systems. The main idea of the Threshold Jumping is to limit the number of collisions. When the number of collisions exceeds a predefined threshold, it reveals that tag density in RF field is too high. To avoid unnecessary enquiry messages, the prefix matching will be moved to next level of the query tree, alleviating the collision problems. The method of setting frequency bound indeed improves the efficiency in high density and randomly deployed RFID systems. However, in irregular or imbalanced RFID networks, inefficient situation may happen. The problem is that the prefix matching is performed in single direction level-order scheme, which may cause an imbalance query tree on which the right subtree always not been examined if the identification process goes to next level before scan the right sub-tree due to threshold jumping. By scanning the query tree from right to left in alternative levels, i.e., wrap-around, this flaw cold be ameliorated. To evaluate the performance of proposed techniques, we have implemented the TJ and the WAS method along with the query tree protocol. The simulation results show that the proposed techniques provide superior performance in high density environments. It is shown that the TJ and WAS are effective in terms of increasing system throughput and minimizing identification delay.

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Why RTS-CTS is not your ideal wireless LAN multiple access protocol

Cited by 57 publications

References 6 publications

Novel learning-based spatial reuse optimization in dense WLAN deployments

Novel learning-based spatial reuse optimization in dense WLAN deployments

Adaptive Intelligent Middleware Architecture for Mobile Real-Time Communications

Threshold jumping and wrap-around scan techniques toward efficient tag identification in high density RFID systems

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