Cross Layer Optimizations for Performance Enhancement of Wireless Networks PDF Download

Author: Tarun Joshi
Publisher:
ISBN:
Category :
Languages : en
Pages : 150

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Book Description
In this dissertation, we focus on designing several cross-layer optimizations to boost the performance of wireless networks. We categorize our efforts into two directions: (a) improvement of spatial reusability and multi-hop performance via Directional Antennas, and (b) analysis and optimization of the IEEE 802.11 multi-rate networks. Since existing protocols are incapable of fully exploiting the benefits of a directional antenna system, we propose a, broadcast and routing protocol for such systems. All our proposals assume cross layer interaction between the Network, MAC and PHY layers. Next, we analyze multi-rate networks in the context of IEEE 802.11 DCF networks and propose an analytical model to study the link-delay characteristics of such systems. We then propose an online algorithm Time Fair CSMA (TFCSMA), for guaranteeing air-time fairness and thereby mitigating the recently observed rate anomaly problem of IEEE DCF multi-rate networks. Following the design of TFCSMA, we concentrate on the problem of rate adaptation for time-varying wireless channels. We thoroughly investigate the impact of transmission rate on the performance of a wireless link. We then propose Stochastic Automata Rate Adaptation Algorithm (SARA). SARA is inspired by Stochastic Learning Automata (SLA), a machine learning technique for adaptation in random environments. As opposed to the previous work in this area, SARA is ideally suited for both stationary and non-stationary channel environments and is completely compatible with the existing IEEE 802.11 MAC standard.

Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 147

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Book Description
In this thesis, we focus on optimizing link layer performance and maximizing throughput in IEEE 802.11 wireless networks. We categorize our efforts into two directions: (a) throughput optimization and analysis of the 802.11 multi-rate networks via rate adaptation (b) design of a new MAC protocol for emerging multipacket reception capable wireless networks. Both our proposals assume cross layer interaction between the MAC and the PHY layers. In the first part of the work, we focus on the use of rate adaptation for throughput gains in time-varying wireless channels. We thoroughly investigate the impact of transmission rate on the performance of a wireless link. We then propose Stochastic Automata Rate Adaptation Algorithm (SARA) inspired by Stochastic Learning Automata (SLA), a machine learning technique for adaptation in random environments. Besides boosting throughput, SARA also provides an integrated and distributed solution for both stationary and non-stationary channel environments. SARA is completely compatible with existing IEEE 802.11 MAC standards. In the second part of the work, we move on to more advanced 802.11 networks that employ techniques like multiple antennas, DS-CDMA codes, spatial diversity techniques etc and have the capability of receiving multiple packets simultaneously. To provide the maximum performance benefits in these networks, we propose the use of a new MAC protocol Receiver-Based Multipacket Reception MAC (RB-MPR MAC) that relies on the use of a Multipacket Reception (MPR) matrix as cross-layer information. The application of MPR matrix, its benefits and limitations, impact of partitioning the network (Grouping) in a DS-CDMA system have been analyzed thoroughly and important results and interpretations have been put forward.

Author: Murad Khallid
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
Ad hoc network is intrinsically autonomous and self-configuring network that does not require any dedicated centralized management. For specialized applications such as, military operations, search-and-rescue missions, security and surveillance, patient monitoring, hazardous material monitoring, 4G (4th Generation) coverage extension, and rural communication; ad hoc networks provide an intelligent, robust, flexible and cost effective solution for the wireless communication needs. As in centralized wireless systems, ad hoc networks are also expected to support high data rates, low delays, and large node density in addition to many other QoS (Quality of Service) requirements. However, due to unique ad hoc network characteristics, spectrum scarcity, computational limit of current state-of-the-art technology, power consumption, and memory; meeting QoS requirements is very challenging in ad hoc networks. Studies have shown cross layer to be very effective in enhancing QoS performance under spectrum scarcity and other constraints. In this dissertation, our main goal is to enhance performance (e.g., throughput, delay, scalability, fairness) by developing novel cross layer techniques in single-hop single channel general ad hoc networks. Our dissertation mainly consists of three main sections. In the first section, we identify major challenges intrinsic to ad hoc networks that affect QoS performance under spectrum constraint (i.e., single channel). In the later parts of the dissertation, we investigate and propose novel distributed techniques for ad hoc networks to tackle identified challenges. Different from our main goal, albeit closely related; in the first section we propose a conceptual cross layer frame work for interaction control and coordination. In this context, we identify various functional blocks, and show through simulations that global and local perturbations through parametric correlation can be used for performance optimization.

Author: Stephen B. Gwanvoma
Publisher:
ISBN:
Category : Cross-layer designs (Telecommunications)
Languages : en
Pages : 142

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Book Description
Cross-layer design and optimization is a new technique which can be used to design and improve the performance in both wireless and wireline networks. The central idea of cross-layer design is to optimize the control and exchange of information over two or more layers to achieve significant performance improvements by exploiting the interaction between various protocol layers. Designing for wireless networks such as cellular networks, WLANs, mobile ad hoc networks (MANETs) and Wireless Sensor Networks (WSNs), poses more stringent requirements than wireline networks and are considerably different in their applications and architectures, although all use wireless channel for communication. Promising results achieved by cross-layer optimizations initiated significant research activity in this area. Due to features such as ease of deployment, increased coverage and enhanced capacity, multi hop wireless networks like ad hoc networks, and mixed network that form the network in a self-organized manner without relying on fixed infrastructure is touted as the new frontier of wireless networking. This work aims to review the present study on the cross-layer paradigm for QoS support in multi-hop wireless networks. Several examples of evolutionary and revolutionary cross-layer approaches are presented in detail. The Cross-Talk architecture represents one of the more aggressive approaches to cross layer improvement. This architecture enables performance related decisions at the global level that can propagate down to the local layer. This architecture fits the Mixed Network modeling developed here at MSU for the iNET project. Organizing the Mixed Networks solutions into the framework of the Cross-Talk Architecture will allow this work to build on the body of research already in place for cross layering.-- Abstract.

Author: Christina Comaniciu
Publisher: Springer Science & Business Media
ISBN: 0387277501
Category : Technology & Engineering
Languages : en
Pages : 214

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Book Description
Cross-layer design seeks to enhance the capacity of wireless networks significantly through the joint optimization of multiple layers in the network, primarily the physical (PHY) and medium access control (MAC) layers. Although there are advantages of such design in wireline networks as well, this approach is particularly advantageous for wireless networks due to the properties (such as mobility and interference) that strongly affect performance and design of higher layer protocols. This unique monograph is concerned with the issue of cross-layer design in wireless networks, and more particularly with the impact of node-level multiuser detection on such design. It provides an introduction to this vibrant and active research area insufficiently covered in existing literature, presenting some of the principal methods developed and results obtained to date. Accompanied by numerous illustrations, the text is an excellent reference for engineers, researchers and students working in communication networks.

Author: Tianqi Wang
Publisher:
ISBN:
Category :
Languages : en
Pages : 470

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Book Description
"Short-range wireless networks, such as wireless sensor networks, have become an integral part of our modern lives and have been broadly applied in many fields such as industry, military and research to facilitate the gathering and distribution of information. Compared with traditional wireless networks, such as cellular networks, short-range wireless networks have the following unique characteristics. (i) Dense deployment: the network devices are often densely deployed to achieve better monitoring of the environment. (ii) Circuit power consumption: due to the short communication distances, the network devices communicate with each other using low transmit power that is comparable to the devices' circuit power consumption. Thus, circuit power consumption is a major contributor to the energy drain of the network devices. (iii) Battery powered: the network devices are usually battery powered and may be deployed in remote areas. Thus, it is difficult or even impossible to replace the energy supplies of many of the network devices in a short-range wireless network. Therefore, maximizing the energy efficiency of short-range wireless networks is of paramount importance. In this dissertation, I explore the cross-layer design principle to improve the energy efficiency of energy constrained short-range wireless networks, while fully considering their unique characteristics as outlined above. In order to maximize energy efficiency, my research focuses on the cross-layer optimization of the physical layer, the data link layer, the multiple access layer, the network layer, and the application layer. In this dissertation, I (i) develop an energy efficient cross-layer design of the physical layer and the data link layer in a typical narrowband system over an additive white Gaussian noise (AWGN) channel and a Rayleigh fading channel, as well as in a typical Impulse Radio Ultra Wideband (IR-UWB) system over a frequency selective channel; (ii) optimize the energy efficiency of a clustered wireless network by choosing the optimal transmit power, selecting the optimal cluster head, and deciding whether or not to use multi-hop routing within a cluster; and (iii) optimize the energy efficiency of a short-range wireless network with distributed source coding (DSC) and adaptive transmission, as well as with DSC over Gaussian multiple access channels. Compared with existing work in the literature, I make unique contributions in this dissertation in the following aspects. First, the unique characteristics of short-range wireless networks, such as dense deployment and circuit power consumption, are considered in all of my cross-layer optimizations. Second, I focus on achieving a balance between cost and performance during the development of the cross-layer optimization schemes, due to the limited computational capacity of the network devices in short-range wireless networks. Third, throughout this dissertation, I develop universal optimal solutions that are highly parameterized and directly applicable in general scenarios. My research results in a large improvement in the energy efficiency of devices for short-range wireless networks"--Leaves v-vi.

Author: Sherin Zafar
Publisher: John Wiley & Sons
ISBN: 1119682533
Category : Technology & Engineering
Languages : en
Pages : 393

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Book Description
SMART AND SUSTAINABLE APPROACHES FOR OPTIMIZING PERFORMANCE OF WIRELESS NETWORK Explores the intersection of sustainable growth, green computing and automation, and performance optimization of 5G wireless networks Smart and Sustainable Approaches for Optimizing Performance of Wireless Networks explores how wireless sensing applications, green computing, and Big Data analytics can increase the energy efficiency and environmental sustainability of real-time applications across areas such as healthcare, agriculture, construction, and manufacturing. Bringing together an international team of expert contributors, this authoritative volume highlights the limitations of conventional technologies and provides methodologies and approaches for addressing Quality of Service (QOS) issues and optimizing network performance. In-depth chapters cover topics including blockchain-assisted secure data sharing, smart 5G Internet of Things (IoT) scenarios, intelligent management of ad hoc networks, and the use of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) techniques in smart healthcare, smart manufacturing, and smart agriculture. Covers design, implementation, optimization, and sustainability of wireless and sensor-based networks Discusses concepts of sustainability and green computing as well as their relevance to society and the environment Addresses green automation applications in various disciplines such as computer science, nanoscience, information technology (IT), and biochemistry Explores various smart and sustainable approaches for current wireless and sensor-based networks Includes detailed case studies of current methodologies, applications, and implementations Smart and Sustainable Approaches for Optimizing Performance of Wireless Networks: Real-time Applications is an essential resource for academic researchers and industry professionals working to integrate sustainable development and Information and Communications Technology (ICT).

Author: John D. Matyjas
Publisher: CRC Press
ISBN: 1498707548
Category : Computers
Languages : en
Pages : 512

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Book Description
Directional antenna technologies have made significant advancements in the last decade. These advances have opened the door to many exciting new design opportunities for wireless networks to enhance quality of service (QoS), performance, and network capacity. In this book, experts from around the world present the latest research and development in

Author: Christina Comaniciu
Publisher: Springer
ISBN: 9780387503677
Category : Technology & Engineering
Languages : en
Pages : 0

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Book Description
Cross-layer design seeks to enhance the capacity of wireless networks significantly through the joint optimization of multiple layers in the network, primarily the physical (PHY) and medium access control (MAC) layers. Although there are advantages of such design in wireline networks as well, this approach is particularly advantageous for wireless networks due to the properties (such as mobility and interference) that strongly affect performance and design of higher layer protocols. This unique monograph is concerned with the issue of cross-layer design in wireless networks, and more particularly with the impact of node-level multiuser detection on such design. It provides an introduction to this vibrant and active research area insufficiently covered in existing literature, presenting some of the principal methods developed and results obtained to date. Accompanied by numerous illustrations, the text is an excellent reference for engineers, researchers and students working in communication networks.

Author: Damanjit Singh
Publisher:
ISBN:
Category :
Languages : en
Pages : 113

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Book Description
In this thesis, we improve the link performance by employing cross-layer techniques in two totally different wireless environments: a) IEEE 802.11 wireless networks and b) ultra-wideband wireless ad hoc networks. The cross-layer information exchange between the MAC and the PHY layer is used to maximize the link throughput. In the first part, we achieve the throughput gain by solving the problem of rate adaptation in IEEE 802.11 networks using the proposed Stochastic Automata Rate Adaptation (SARA) algorithm. SARA is inspired from Stochastic Learning Automata (SLA), a machine learning technique for adaptation in random environments and is fully compatible with IEEE 802.11 MAC. Next, we focus on improving the link performance in ultra-wideband wireless networks by exposing the MAC layer to the presence of multiple orthogonal pulse shapes at the physical layer. These pulse shapes have been recently proposed for ultra-wideband systems and have been used to improve the system performance at the physical layer. However, at the MAC layer, very few designs based on utilizing these pulse shapes have been proposed. In this thesis, we first propose an alternative way to use these pulse shapes at the physical layer to achieve high data rates. Next, we show that these pulse shapes can increase both the rate and the reliability of packet transmission at the MAC layer. To achieve better reliability, we introduce and develop the idea of 'pulse shape redundancy'. Two throughput optimization techniques based on these ideas and findings are then analytically developed. After this, we propose a new MAC protocol, namely Redundancy-Enabled MAC (REMAC), which is capable of employing either of the two proposed schemes. Finally, we illustrate the performance gain achieved by REMAC and the role of redundancy through extensive simulation results and discussions.