200 research outputs found

    Performance evaluation of channel selection algorithm for multi-channel MAC protocol in ad hoc networks

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    This thesis aims to provide an approach that is to investigate channel selection algorithm for increasing the performance of ad hoc networks. Although our channel selection algorithms are very simple, multi-channel MAC protocol that employs our channel selection algorithms are effective for increasing the performance of ad hoc networks.ๅญฆไฝ่จ˜็•ชๅท๏ผšๅทฅๅš็”ฒ47

    Cooperative communication in wireless local area networks

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    The concept of cooperative communication has been proposed to improve link capacity, transmission reliability and network coverage in multiuser wireless communication networks. Different from conventional point-to-point and point-to-multipoint communications, cooperative communication allows multiple users or stations in a wireless network to coordinate their packet transmissions and share each otherโ€™s resources, thus achieving high performance gain and better service coverage. According to the IEEE 802.11 standards, Wireless Local Area Networks (WLANs) can support multiple transmission data rates, depending on the instantaneous channel condition between a source station and an Access Point (AP). In such a multi-rate WLAN, those low data-rate stations will occupy the shared communication channel for a longer period for transmitting a fixed-size packet to the AP, thus reducing the channel efficiency and overall system performance. This thesis addresses this challenging problem in multi-rate WLANs by proposing two cooperative Medium Access Control (MAC) protocols, namely Busy Tone based Cooperative MAC (BTAC) protocol and Cooperative Access with Relayโ€™s Data (CARD) protocol. Under BTAC, a low data-rate sending station tries to identify and use a close-by intermediate station as its relay to forward its data packets at higher data-rate to the AP through a two-hop path. In this way, BTAC can achieve cooperative diversity gain in multi-rate WLANs. Furthermore, the proposed CARD protocol enables a relay station to transmit its own data packets to the AP immediately after forwarding its neighbourโ€™s packets, thus minimising the handshake procedure and overheads for sensing and reserving the common channel. In doing so, CARD can achieve both cooperative diversity gain and cooperative multiplexing gain. Both BTAC and CARD protocols are backward compatible with the existing IEEE 802.11 standards. New cross-layer mathematical models have been developed in this thesis to study the performance of BTAC and CARD under different channel conditions and for saturated and unsaturated traffic loads. Detailed simulation platforms were developed and are discussed in this thesis. Extensive simulation results validate the mathematical models developed and show that BTAC and CARD protocols can significantly improve system throughput, service delay, and energy efficiency for WLANs operating under realistic communication scenarios

    MAC/PHY Co-Design of CSMA Wireless Networks Using Software Radios.

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    In the past decade, CSMA-based protocols have spawned numerous network standards (e.g., the WiFi family), and played a key role in improving the ubiquity of wireless networks. However, the rapid evolution of CSMA brings unprecedented challenges, especially the coexistence of different network architectures and communications devices. Meanwhile, many intrinsic limitations of CSMA have been the main obstacle to the performance of its derivatives, such as ZigBee, WiFi, and mesh networks. Most of these problems are observed to root in the abstract interface of the CSMA MAC and PHY layers --- the MAC simply abstracts the advancement of PHY technologies as a change of data rate. Hence, the benefits of new PHY technologies are either not fully exploited, or they even may harm the performance of existing network protocols due to poor interoperability. In this dissertation, we show that a joint design of the MAC/PHY layers can achieve a substantially higher level of capacity, interoperability and energy efficiency than the weakly coupled MAC/PHY design in the current CSMA wireless networks. In the proposed MAC/PHY co-design, the PHY layer exposes more states and capabilities to the MAC, and the MAC performs intelligent adaptation to and control over the PHY layer. We leverage the reconfigurability of software radios to design smart signal processing algorithms that meet the challenge of making PHY capabilities usable by the MAC layer. With the approach of MAC/PHY co-design, we have revisited the primitive operations of CSMA (collision avoidance, carrier signaling, carrier sensing, spectrum access and transmitter cooperation), and overcome its limitations in relay and broadcast applications, coexistence of heterogeneous networks, energy efficiency, coexistence of different spectrum widths, and scalability for MIMO networks. We have validated the feasibility and performance of our design using extensive analysis, simulation and testbed implementation.PHDComputer Science & EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/95944/1/xyzhang_1.pd

    Distributed Medium Access Control for QoS Support in Wireless Networks

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    With the rapid growth of multimedia applications and the advances of wireless communication technologies, quality-of-service (QoS) provisioning for multimedia services in heterogeneous wireless networks has been an important issue and drawn much attention from both academia and industry. Due to the hostile transmission environment and limited radio resources, QoS provisioning in wireless networks is much more complex and difficult than in its wired counterpart. Moreover, due to the lack of central controller in the networks, distributed network control is required, adding complexity to QoS provisioning. In this thesis, medium access control (MAC) with QoS provisioning is investigated for both single- and multi-hop wireless networks including wireless local area networks (WLANs), wireless ad hoc networks, and wireless mesh networks. Originally designed for high-rate data traffic, a WLAN has limited capability to support delay-sensitive voice traffic, and the service for voice traffic may be impacted by data traffic load, resulting in delay violation or large delay variance. Aiming at addressing these limitations, we propose an efficient MAC scheme and a call admission control algorithm to provide guaranteed QoS for voice traffic and, at the same time, increase the voice capacity significantly compared with the current WLAN standard. In addition to supporting voice traffic, providing better services for data traffic in WLANs is another focus of our research. In the current WLANs, all the data traffic receives the same best-effort service, and it is difficult to provide further service differentiation for data traffic based on some specific requirements of customers or network service providers. In order to address this problem, we propose a novel token-based scheduling scheme, which provides great flexibility and facility to the network service provider for service class management. As a WLAN has small coverage and cannot meet the growing demand for wireless service requiring communications ``at anywhere and at anytime", a large scale multi-hop wireless network (e.g., wireless ad hoc networks and wireless mesh networks) becomes a necessity. Due to the location-dependent contentions, a number of problems (e.g., hidden/exposed terminal problem, unfairness, and priority reversal problem) appear in a multi-hop wireless environment, posing more challenges for QoS provisioning. To address these challenges, we propose a novel busy-tone based distributed MAC scheme for wireless ad hoc networks, and a collision-free MAC scheme for wireless mesh networks, respectively, taking the different network characteristics into consideration. The proposed schemes enhance the QoS provisioning capability to real-time traffic and, at the same time, significantly improve the system throughput and fairness performance for data traffic, as compared with the most popular IEEE 802.11 MAC scheme

    Improving the Performance of Wireless LANs

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    This book quantifies the key factors of WLAN performance and describes methods for improvement. It provides theoretical background and empirical results for the optimum planning and deployment of indoor WLAN systems, explaining the fundamentals while supplying guidelines for design, modeling, and performance evaluation. It discusses environmental effects on WLAN systems, protocol redesign for routing and MAC, and traffic distribution; examines emerging and future network technologies; and includes radio propagation and site measurements, simulations for various network design scenarios, numerous illustrations, practical examples, and learning aids

    Link Scheduling Algorithms For In-Band Full-Duplex Wireless Networks

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    In the last two decades, wireless networks and their corresponding data traffic have grown significantly. This is because wireless networks have become an indispens- able and critical communication infrastructure in a modern society. An on-going challenge in communication systems is meeting the continuous increase in traffic de- mands. This is driven by the proliferation of electronic devices such as smartphones with a WiFi interface along with their bandwidth intensive applications. Moreover, in the near future, sensor devices that form the Internet of Things (IoTs) ecosystem will also add to future traffic growth. One promising approach to meet growing traffic demands is to equip nodes with an In-band-Full-Duplex (IBFD) radio. This radio thus allows nodes to transmit and receive data concurrently over the same frequency band. Another approach to in- crease network or link capacity is to exploit the benefits of Multiple-Input-Multiple- Output (MIMO) technologies; namely, (i) spatial diversity gain, which improves Signal-to-Noise Ratio (SNR) and thus has a direct impact on the data rate used by nodes, and (ii) spatial multiplexing gain, whereby nodes are able to form concurrent links to neighbors

    Coexistence and interference mitigation for WPANs and WLANs from traditional approaches to deep learning: a review

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    More and more devices, such as Bluetooth and IEEE 802.15.4 devices forming Wireless Personal Area Networks (WPANs) and IEEE 802.11 devices constituting Wireless Local Area Networks (WLANs), share the 2.4 GHz Industrial, Scientific and Medical (ISM) band in the realm of the Internet of Things (IoT) and Smart Cities. However, the coexistence of these devices could pose a real challengeโ€”co-channel interference that would severely compromise network performances. Although the coexistence issues has been partially discussed elsewhere in some articles, there is no single review that fully summarises and compares recent research outcomes and challenges of IEEE 802.15.4 networks, Bluetooth and WLANs together. In this work, we revisit and provide a comprehensive review on the coexistence and interference mitigation for those three types of networks. We summarize the strengths and weaknesses of the current methodologies, analysis and simulation models in terms of numerous important metrics such as the packet reception ratio, latency, scalability and energy efficiency. We discover that although Bluetooth and IEEE 802.15.4 networks are both WPANs, they show quite different performances in the presence of WLANs. IEEE 802.15.4 networks are adversely impacted by WLANs, whereas WLANs are interfered by Bluetooth. When IEEE 802.15.4 networks and Bluetooth co-locate, they are unlikely to harm each other. Finally, we also discuss the future research trends and challenges especially Deep-Learning and Reinforcement-Learning-based approaches to detecting and mitigating the co-channel interference caused by WPANs and WLANs

    MAC Protocols for Wireless Mesh Networks with Multi-beam Antennas: A Survey

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    Multi-beam antenna technologies have provided lots of promising solutions to many current challenges faced in wireless mesh networks. The antenna can establish several beamformings simultaneously and initiate concurrent transmissions or receptions using multiple beams, thereby increasing the overall throughput of the network transmission. Multi-beam antenna has the ability to increase the spatial reuse, extend the transmission range, improve the transmission reliability, as well as save the power consumption. Traditional Medium Access Control (MAC) protocols for wireless network largely relied on the IEEE 802.11 Distributed Coordination Function(DCF) mechanism, however, IEEE 802.11 DCF cannot take the advantages of these unique capabilities provided by multi-beam antennas. This paper surveys the MAC protocols for wireless mesh networks with multi-beam antennas. The paper first discusses some basic information in designing multi-beam antenna system and MAC protocols, and then presents the main challenges for the MAC protocols in wireless mesh networks compared with the traditional MAC protocols. A qualitative comparison of the existing MAC protocols is provided to highlight their novel features, which provides a reference for designing the new MAC protocols. To provide some insights on future research, several open issues of MAC protocols are discussed for wireless mesh networks using multi-beam antennas.Comment: 22 pages, 6 figures, Future of Information and Communication Conference (FICC) 2019, https://doi.org/10.1007/978-3-030-12388-8_

    IEEE 802.11n WLAN์—์„œ ํ”„๋ ˆ์ž„ ์ „์†ก ์‹œ๊ฐ„ ์กฐ์ ˆ์„ ํ†ตํ•œ ๋„คํŠธ์›Œํฌ ์„ฑ๋Šฅ ํ–ฅ์ƒ MAC ํ”„๋กœํ† ์ฝœ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ „๊ธฐยท์ปดํ“จํ„ฐ๊ณตํ•™๋ถ€, 2013. 8. ์ตœ์ข…ํ˜ธ.์ตœ๊ทผ ์Šค๋งˆํŠธํฐ, ํƒœ๋ธ”๋ฆฟ PC ๋“ฑ์˜ ๋ฌด์„  ๋„คํŠธ์›Œํฌ๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๋ชจ๋ฐ”์ผ ๊ธฐ๊ธฐ์˜ ์‚ฌ์šฉ์ด ๊ธ‰์ฆํ•จ์— ๋”ฐ๋ผ ๋ฌด์„  ๋žœ (wireless local area network (WLAN))์— ๋Œ€ํ•œ ์ˆ˜์š”๊ฐ€ ๋น ๋ฅด๊ฒŒ ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ, IEEE 802.11 ํ‘œ์ค€์—์„œ ๊ธฐ๋ณธ์ ์œผ๋กœ ์‚ฌ์šฉํ•˜๋Š” MAC (medium access control) ํ”„๋กœํ† ์ฝœ์ธ DCF (distributed coordination function) ๋Š” single-cell ๋„คํŠธ์›Œํฌ์—์„œ MAC ํšจ์œจ (MAC efficiency) ์„ฑ๋Šฅ์ด ๋–จ์–ด์ง€๋Š” ๋ฌธ์ œ์ ๊ณผ ad-hoc ๋„คํŠธ์›Œํฌ์—์„œ ๋…ธ๋“œ๊ฐ„์— ๊ณตํ‰์„ฑ ์„ฑ๋Šฅ์ด ํฌ๊ฒŒ ์ €ํ•˜ ๋˜๋Š” ๋ฌธ์ œ์ ์„ ์ง€๋‹ˆ๊ณ  ์žˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ด๋Ÿฌํ•œ ๋„คํŠธ์›Œํฌ์—์„œ DCF๊ฐ€ ์ง€๋‹ˆ๊ณ  ์žˆ๋Š” ๋ฌธ์ œ์ ์„ ๊ฐ๊ฐ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ๋Š” ๋‘ ๊ฐ€์ง€ ๋‹ค๋ฅธ ๋ฐฉ์‹์˜ MAC ํ”„๋กœํ† ์ฝœ๋“ค์„ ์ œ์•ˆํ•˜์˜€๋‹ค. ๊ธฐ์กด์˜ MAC ํ”„๋กœํ† ์ฝœ์—์„œ๋Š” ํŒจํ‚ท (packet) ์ด๋‚˜ ํ”„๋ ˆ์ž„ (frame) ์˜ ํฌ๊ธฐ๊ฐ€ ์ •ํ•ด์ง€๋ฉด, ๊ฐ ๋…ธ๋“œ (node) ์˜ ๋ฐ์ดํ„ฐ ์ „์†ก ์†๋„์— ๋”ฐ๋ผ (data transmission rate) ํ”„๋ ˆ์ž„ ์ „์†ก ์‹œ๊ฐ„ (frame transmission duration) ์ด ์ •ํ•ด์กŒ๋‹ค. ํ•˜์ง€๋งŒ, ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” IEEE 802.11n/ac/ad ํ‘œ์ค€์—์„œ ์‚ฌ์šฉํ•˜๋Š” ํ”„๋ ˆ์ž„ ๊ฒฐํ•ฉ (frame aggregation) ๊ณผ block ACK ๊ธฐ๋ฒ•์„ ์ด์šฉํ•˜์—ฌ ํ”„๋ ˆ์ž„ ์ „์†ก ์‹œ๊ฐ„์„ ์ •ํ™•ํžˆ ์กฐ์ ˆ ํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์•ˆํ•˜์˜€๋‹ค. ๋งŒ์•ฝ ์ด์™€๊ฐ™์ด ํ”„๋ ˆ์ž„ ์ „์†ก ์‹œ๊ฐ„์„ ์šฐ๋ฆฌ๊ฐ€ ์›ํ•˜๋Š” ๋ฐ๋กœ ์ •ํ™•ํ•˜๊ฒŒ ์กฐ์ ˆ ํ•  ์ˆ˜ ์žˆ๊ฒŒ๋œ๋‹ค๋ฉด, ๋„คํŠธ์›Œํฌ ์ƒ์— ๊ฐ ๋…ธ๋“œ๋“ค์€ ์ถ”๊ฐ€์ ์ธ ์˜ค๋ฒ„ํ—ค๋“œ (overhead) ์—†์ด ์ž์‹ ์ด ์•Œ๋ ค์ฃผ๊ณ ์ž ํ•˜๋Š” ์ •๋ณด๋ฅผ ํ”„๋ ˆ์ž„ ์ „์†ก ์‹œ๊ฐ„์„ ์ด์šฉํ•˜์—ฌ ์ž์‹  ์ฃผ๋ณ€์˜ ๋…ธ๋“œ๋“ค์—๊ฒŒ ๊ฐ„์ ‘์ ์œผ๋กœ ์•Œ๋ ค์ค„ ์ˆ˜ ์žˆ๊ฒŒ ๋œ๋‹ค. ์ฆ‰, ํ”„๋ ˆ์ž„ ์ „์†ก ์‹œ๊ฐ„์„ ์ •ํ™•ํžˆ ์กฐ์ ˆํ•˜๋Š” ๊ฒƒ์„ ํ†ตํ•ด์„œ ๊ธฐ์กด์˜ ์ปจํŠธ๋กค ๋ฉ”์‹œ์ง€ (control message) ๊ฐ€ ์ˆ˜ํ–‰ํ–ˆ๋˜ ์—ญํ• ์ธ ์ •๋ณด ์ „๋‹ฌ์˜ ์—ญํ• ์„ ์ˆ˜ํ–‰ ํ•  ์ˆ˜ ์žˆ๊ฒŒ ๋œ๋‹ค. ์ด ์•„์ด๋””์–ด๋Š” ๊ฐ„๋‹จํ•˜์ง€๋งŒ, ๊ฐ ๋…ธ๋“œ๋“ค์ด ๋„คํŠธ์›Œํฌ ์„ฑ๋Šฅ์„ ํ–ฅ์ƒ ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋Š” ์ •๋ณด๋ฅผ ๊ตํ™˜ํ•˜๋Š”๋ฐ ํšจ๊ณผ์ ์ด๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ ์ œ์•ˆ๋œ ๋‘ ๊ฐœ์˜ MAC ํ”„๋กœํ† ์ฝœ๋“ค์€ ์ด ์•„์ด๋””์–ด๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋„คํŠธ์›Œํฌ ์„ฑ๋Šฅ์„ ํ–ฅ์ƒ์‹œํ‚ค๊ณ ์ž ํ•˜์˜€๋‹ค. ์šฐ์„ , IEEE 802.11 single-cell ๋„คํŠธ์›Œํฌ์—์„œ์˜ MAC ํšจ์œจ ์„ฑ๋Šฅ์„ ํ–ฅ์ƒ์‹œํ‚ค๊ธฐ ์œ„ํ•ด Transmission Order Deducing MAC (TOD-MAC) ํ”„๋กœํ† ์ฝœ์„ ์ œ์•ˆํ•˜์˜€๋‹ค. ์ตœ๊ทผ ๋ฌผ๋ฆฌ ๊ณ„์ธต (physical layer) ์—์„œ์˜ ์ „์†ก ์†๋„๊ฐ€ Gbps ๋ฒ”์œ„๊นŒ์ง€ ๋น„์•ฝ์ ์œผ๋กœ ๋ฐœ์ „ํ•˜๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ, ์ด๋Ÿฌํ•œ ๋ฌผ๋ฆฌ ๊ณ„์ธต ์ „์†ก ์†๋„์˜ ์ฆ๊ฐ€๊ฐ€ MAC ๊ณ„์ธต (MAC layer) ์—์„œ์˜ ์ฒ˜๋ฆฌ๋Ÿ‰ (throughput) ์„ฑ๋Šฅ ํ–ฅ์ƒ์— ํšจ๊ณผ์ ์œผ๋กœ ๊ธฐ์—ฌํ•˜์ง€ ๋ชปํ•˜๊ณ  ์žˆ๋Š” ์‹ค์ •์ด๋‹ค. ์™œ๋ƒํ•˜๋ฉด, ๋ฌผ๋ฆฌ ๊ณ„์ธต์—์„œ์˜ ์ „์†ก ์†๋„๊ฐ€ ์˜ฌ๋ผ ๊ฐˆ์ˆ˜๋ก PHY header์™€ ์ปจํ…์…˜ ์‹œ๊ฐ„ (contention time) ๋“ฑ์˜ MAC ๊ณ„์ธต์—์„œ ๋ฐœ์ƒํ•˜๋Š” ์˜ค๋ฒ„ํ—ค๋“œ๋“ค์ด ์ฒ˜๋ฆฌ๋Ÿ‰ ์„ฑ๋Šฅ ํ–ฅ์ƒ์— ํฐ ๊ฑธ๋ฆผ๋Œ์ด ๋˜๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ์ด๋Ÿฌํ•œ ๋ฌธ์ œ์ ์„ ํ•ด๊ฒฐ ํ•˜๊ธฐ ์œ„ํ•ด์„œ TOD-MAC์—์„œ ๊ฐ ๋…ธ๋“œ๋“ค์€ ์ž์‹ ์˜ ์ „์†ก ์ˆœ์„œ์— ๋”ฐ๋ผ ์•ž์„œ ์ œ์•ˆ๋œ ๋ฐฉ๋ฒ•์„ ์ด์šฉํ•˜์—ฌ ํ”„๋ ˆ์ž„ ์ „์†ก ์‹œ๊ฐ„์„ ์ •ํ™•ํžˆ ์กฐ์ ˆํ•˜์—ฌ ๋ฐ์ดํ„ฐ๋ฅผ ์ „์†กํ•œ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ๋„คํŠธ์›Œํฌ ์ƒ์˜ ๊ฐ ๋…ธ๋“œ๋“ค์€ ์ž์‹  ์ฃผ๋ณ€ ๋…ธ๋“œ๋“ค์˜ ์ „์†ก ์ˆœ์„œ๋ฅผ ํ”„๋ ˆ์ž„ ์ „์†ก ์‹œ๊ฐ„์„ ํ†ตํ•ด ์ถ”์ •ํ•  ์ˆ˜ ์žˆ๊ฒŒ ๋˜๊ณ , ์ž์‹ ์—๊ฒŒ ์•Œ๋ ค์ง„ ์ „์†ก ์ˆœ์„œ ์ •๋ณด๋ฅผ ์ด์šฉํ•˜์—ฌ ์ˆœํ™˜ ์ˆœ์„œ ๋ฐฉ์‹ (round robin manner) ์œผ๋กœ ๋ฐ์ดํ„ฐ๋ฅผ ์ „์†กํ•œ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์ œ์•ˆ๋œ MAC ํ”„๋กœํ† ์ฝœ์€ ์ „์†ก ์ถฉ๋Œ (transmission collision) ๊ณผ ์ปจํ…์…˜ ์‹œ๊ฐ„์„ ํšจ์œจ์ ์œผ๋กœ ์ค„์ผ ์ˆ˜ ์žˆ๊ฒŒ ๋˜๊ณ , CSMA/CA (carrier sensing multiple access with collision avoidance) ๊ธฐ๋ฐ˜์˜ single-cell ๋„คํŠธ์›Œํฌ์—์„œ์˜ MAC ํšจ์œจ์„ ๊ทน๋Œ€ํ™” ์‹œํ‚ฌ ์ˆ˜ ์žˆ๊ฒŒ ๋œ๋‹ค. ๋˜ํ•œ, ์‹คํ—˜์„ ํ†ตํ•ด TOD-MAC์ด ๋‹ค์–‘ํ•œ ํ™˜๊ฒฝ์—์„œ ๋†’์€ ์ฒ˜๋ฆฌ๋Ÿ‰ ์„ฑ๋Šฅ๊ณผ, ์ข‹์€ short/long-term ์ฑ„๋„ ์ ์œ  ์‹œ๊ฐ„ ๊ณตํ‰์„ฑ (air-time fairness) ์„ฑ๋Šฅ์„ ๋ณด์—ฌ์ฃผ๋Š” ๊ฒƒ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ, ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” IEEE 802.11 ad-hoc ๋„คํŠธ์›Œํฌ์—์„œ์˜ ์ตœ๋Œ€-์ตœ์†Œ ์ฑ„๋„ ์ ์œ  ์‹œ๊ฐ„ ๊ณตํ‰์„ฑ (max-min air-time fairness) ์„ ํ–ฅ์ƒ ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋Š” Max-min Air-time Fairness MAC (MAF-MAC) ํ”„๋กœํ† ์ฝœ์„ ์ œ์•ˆํ•˜์˜€๋‹ค. ์ตœ๊ทผ IEEE 802.11 ad-hoc ๋„คํŠธ์›Œํฌ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœํ•œ ์„œ๋น„์Šค์— ๋Œ€ํ•œ ์š”๊ตฌ๊ฐ€ ๋น ๋ฅด๊ฒŒ ์ฆํ•˜ํ•˜๋ฉด์„œ, ad-hoc ๋„คํŠธ์›Œํฌ์—์„œ ๋…ธ๋“œ๋“ค ๊ฐ„์— ๊ณตํ‰ํ•œ ์„œ๋น„์Šค๋ฅผ ์ œ๊ณตํ•˜๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•œ ๋ฌธ์ œ๊ฐ€ ๋˜๊ณ  ์žˆ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด MAF-MAC์—์„œ๋Š” ๊ฐ ๋…ธ๋“œ๋“ค์ด ์ž์‹ ์˜ ์ฑ„๋„ ์ ์œ  ์‹œ๊ฐ„์— ๋Œ€ํ•œ ์ •๋ณด๋ฅผ ํ”„๋ ˆ์ž„ ์ „์†ก ์‹œ๊ฐ„์„ ํ†ตํ•ด ์ฃผ๋ณ€ ๋…ธ๋“œ๋“ค์—๊ฒŒ ์•Œ๋ ค์ฃผ๊ณ , ๊ฐ ๋…ธ๋“œ๋“ค์€ ์ด ์ •๋ณด๋ฅผ ์ด์šฉํ•˜์—ฌ ์ž์‹ ์˜ contention window (CW) ๊ฐ’์„ ์ ์ ˆํ•˜๊ฒŒ ์กฐ์ ˆํ•˜์—ฌ ad-hoc ๋„คํŠธ์›Œํฌ์—์„œ์˜ ์ตœ๋Œ€-์ตœ์†Œ ์ฑ„๋„ ์ ์œ  ์‹œ๊ฐ„ ๊ณตํ‰์„ฑ ์„ฑ๋Šฅ์„ ํ–ฅ์ƒ์‹œํ‚ค๊ณ ์ž ํ•˜์˜€๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์ œ์•ˆ๋œ MAC ํ”„๋กœํ† ์ฝœ์€ ๋„คํŠธ์›Œํฌ์— ์žˆ๋Š” ๋…ธ๋“œ๋“ค์—๊ฒŒ ๋ณด๋‹ค ๊ณตํ‰ํ•œ ์„œ๋น„์Šค๋ฅผ ์ œ๊ณตํ•จ๊ณผ ๋™์‹œ์— ์ฑ„๋„ ์ ์œ ์œจ๊ณผ ์‚ฌ์šฉ์œจ์„ ํšจ์œจ์ ์œผ๋กœ ํ–ฅ์ƒ ์‹œํ‚ฌ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ, ๋‹ค๋ฅธ ์—ฐ๊ตฌ์—์„œ ์ œ์•ˆ๋œ ํžˆ๋“  ๋…ธ๋“œ ๊ฐ์ง€ (hidden node detection) ๋ฐฉ๋ฒ•๊ณผ ํžˆ๋“  ๋…ธ๋“œ ํ•ด๊ฒฐ (hidden node resolving) ๋ฐฉ๋ฒ•์„ MAF-MAC์— ์ ์šฉํ•จ์œผ๋กœ์จ ad-hoc ๋„คํŠธ์›Œํฌ์—์„œ ๋ฐœ์ƒ ํ•  ์ˆ˜ ์žˆ๋Š” ํžˆ๋“  ๋…ธ๋“œ ๋ฌธ์ œ๋ฅผ ํšจ๊ณผ์ ์œผ๋กœ ํ•ด๊ฒฐ ํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์‹œ๋ฎฌ๋ž˜์ด์…˜์„ ํ†ตํ•ด ํžˆ๋“  ๋…ธ๋“œ์˜ ์กด์žฌ ์—ฌ๋ถ€์™€ ๊ด€๊ณ„ ์—†์ด ๋‹ค์–‘ํ•œ ํ™˜๊ฒฝ์—์„œ MAF-MAC์— ๊ธฐ๋ฐ˜ํ•œ ๋ฐฉ๋ฒ•์ด ์ข‹์€ ์ฑ„๋„ ์ ์œ  ๊ณตํ‰์„ฑ ์„ฑ๋Šฅ์„ ๋ณด์—ฌ์คŒ๊ณผ ๋™์‹œ์— ํšจ์œจ์ ์œผ๋กœ ์ฑ„๋„์„ ์‚ฌ์šฉํ•˜๊ณ  ์žˆ๋‹ค๋Š” ๊ฒƒ์„ ํ™•์ธ ํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค.The demand for wireless local area network (WLAN) has drastically increased due to the prevalence of the mobile devices such as smart phones and tablet PCs. However, the distributed coordination function (DCF), which is the basic MAC protocol used in IEEE 802.11 WLANs, needs to be improved on MAC efficiency in single-cell networks and fairness performance in ad-hoc networks. In this dissertation, we propose two MAC protocols that can enhance MAC efficiency in single-cell network, and max-min air-time fairness in ad-hoc network by adjusting frame transmission duration, respectively. In the traditional MAC protocol, the length of a packet or a frame is usually fixed and the transmission duration is determined by the data rate. However, we show how each node can precisely adjust the transmission duration when the frame aggregation and block ACK features are used in very high-speed IEEE 802.11n/ac/ad WLANs. If the transmission duration can be precisely controlled, it plays the role usually carried out by a control message. Therefore, a node can indirectly announce necessary information to the other nodes, which can sense the transmission of the node, without incurring any overhead. This idea is simple, but very effective to enhance the network performance by exchanging the necessary information without overheads. First, we propose the Transmission Order Deducing MAC (TOD-MAC) protocol to improve MAC layer efficiency in IEEE 802.11 single-cell network. Recently, the physical (PHY) layer transmission rate increases to Gbps range in the IEEE 802.11 WLANs. However, the increase in the PHY layer transmission rates does not necessarily translate into corresponding increase in the MAC layer throughput of IEEE 802.11 WLANs because of MAC overheads such as PHY headers and contention time. TOD-MAC precisely controls the frame length and transmission duration to indirectly provide necessary information to a node to determine the transmission order among all the nodes in a network. Each node transmits frames of different duration, and thus the other nodes can determine the time when they can transmit, which has the same effect as announcing the transmission order, without using a control message. Each node transmits a frame in a round robin manner, which minimizes the idle time between two consecutive transmissions without collisions, and significantly enhances the MAC efficiency in very high speed CSMA/CA wireless networks. The results of extensive simulations indicate that TOD-MAC achieves high throughput performance, short/long-term air-time fairness in multi-rate networks and excellent transient behavior in dynamic environments. Secondly, we propose Max-min Air-time Fairness MAC (MAF-MAC) to improve max-min air-time fairness in IEEE 802.11 ad-hoc networks. As the demand for services based on ad-hoc networks rapidly increases, enhancing fairness among nodes becomes important issue in ad-hoc networks. The concept of max-min fairness is that a node may use more channel resource as long as it does take away the channel resource from the other nodes who uses less channel resource. In MAF-MAC, the transmission duration is adjusted so that it can indirectly perform the function of a control message in announcing the state of a node, called the busy time ratio. On the basis of this information, each node adjusts its CWCW value to improve max-min air-time fairness. Moreover, we also adopt the hidden node detection and resolving mechanism to MAF-MAC to improve the max-min air-time fairness even when there are hidden nodes in ad-hoc networks. We show through simulation that MAF-MAC incorporating hidden node detection/resolution mechanisms can provide good air-time fairness with high channel occupation and utilization ratio whether or not there are hidden nodes in the network.Docto
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