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Modeling, Analysis, and Optimization of Random Wireless Networks

Modeling, Analysis, and Optimization of Random Wireless Networks PDF Author: Hesham Mahmoud Medhat Mahmoud Elsawy
Publisher:
ISBN:
Category :
Languages : en
Pages : 538

Book Description
Wireless -- Stochastic -- Cellular -- Networks.

Modeling, Analysis, and Optimization of Random Wireless Networks

Modeling, Analysis, and Optimization of Random Wireless Networks PDF Author: Hesham Mahmoud Medhat Mahmoud Elsawy
Publisher:
ISBN:
Category :
Languages : en
Pages : 538

Book Description
Wireless -- Stochastic -- Cellular -- Networks.

Wireless Edge Caching

Wireless Edge Caching PDF Author: Thang X. Vu
Publisher: Cambridge University Press
ISBN: 1108480837
Category : Computers
Languages : en
Pages : 431

Book Description
Discover the latest research results for both uncoded and coded caching techniques in future wireless network design.

Wireless Network Design

Wireless Network Design PDF Author: Jeff Kennington
Publisher: Springer Science & Business Media
ISBN: 1441961119
Category : Business & Economics
Languages : en
Pages : 384

Book Description
This book surveys state-of-the-art optimization modeling for design, analysis, and management of wireless networks, such as cellular and wireless local area networks (LANs), and the services they deliver. The past two decades have seen a tremendous growth in the deployment and use of wireless networks. The current-generation wireless systems can provide mobile users with high-speed data services at rates substantially higher than those of the previous generation. As a result, the demand for mobile information services with high reliability, fast response times, and ubiquitous connectivity continues to increase rapidly. The optimization of system performance has become critically important both in terms of practical utility and commercial viability, and presents a rich area for research. In the editors' previous work on traditional wired networks, we have observed that designing low cost, survivable telecommunication networks involves extremely complicated processes. Commercial products available to help with this task typically have been based on simulation and/or proprietary heuristics. As demonstrated in this book, however, mathematical programming deserves a prominent place in the designer's toolkit. Convenient modeling languages and powerful optimization solvers have greatly facilitated the implementation of mathematical programming theory into the practice of commercial network design. These points are equally relevant and applicable in today’s world of wireless network technology and design. But there are new issues as well: many wireless network design decisions, such as routing and facility/element location, must be dealt with in innovative ways that are unique and distinct from wired (fiber optic) networks. The book specifically treats the recent research and the use of modeling languages and network optimization techniques that are playing particularly important and distinctive roles in the wireless domain.

Modeling, Analysis, and Optimization for Wireless Networks in the Presence of Heavy Tails

Modeling, Analysis, and Optimization for Wireless Networks in the Presence of Heavy Tails PDF Author: Pu Wang
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages :

Book Description
The heavy-tailed traffic from wireless users, caused by the emerging Internet and multimedia applications, induces extremely dynamic and variable network environment, which can fundamentally change the way in which wireless networks are conceived, designed, and operated. This thesis is concerned with modeling, analysis, and optimization of wireless networks in the presence of heavy tails. First, a novel traffic model is proposed, which captures the inherent relationship between the traffic dynamics and the joint effects of the mobility variability of network users and the spatial correlation in their observed physical phenomenon. Next, the asymptotic delay distribution of wireless users is analyzed under different traffic patterns and spectrum conditions, which reveals the critical conditions under which wireless users can experience heavy-tailed delay with significantly degraded QoS performance. Based on the delay analysis, the fundamental impact of heavy-tailed environment on network stability is studied. Specifically, a new network stability criterion, namely moment stability, is introduced to better characterize the QoS performance in the heavy-tailed environment. Accordingly, a throughput-optimal scheduling algorithm is proposed to maximize network throughput while guaranteeing moment stability. Furthermore, the impact of heavy-tailed spectrum on network connectivity is investigated. Towards this, the necessary conditions on the existence of delay-bounded connectivity are derived. To enhance network connectivity, the mobility-assisted data forwarding scheme is exploited, whose important design parameters, such as critical mobility radius, are derived. Moreover, the latency in wireless mobile networks is analyzed, which exhibits asymptotic linearity in the initial distance between mobile users.

Randomly Deployed Wireless Sensor Networks

Randomly Deployed Wireless Sensor Networks PDF Author: Xi Chen
Publisher: Elsevier
ISBN: 0128227710
Category : Technology & Engineering
Languages : en
Pages : 136

Book Description
Wireless sensor networks have a range of applications, including military uses and in environmental monitoring. When an area of interest is inaccessible by conventional means, such a network can be deployed in ways resulting in a random distribution of the sensors. Randomly Deployed Wireless Sensor Networks offers a probabilistic method to model and analyze these networks. The book considers the network design, coverage, target detection, localization and tracking of sensors in randomly deployed wireless networks, and proposes a stochastic model. It quantifies the relationship between parameters of the network and its performance, and puts forward a communication protocol. The title provides analyses and formulas, giving engineering insight into randomly deployed wireless sensor networks. Five chapters consider the analysis of coverage performance; working modes and scheduling mechanisms; the relationship between sensor behavior and network performance properties; probabilistic forwarding routing protocols; localization methods for multiple targets and target number estimation; and experiments on target localization and tracking with a Mica sensor system. Details a probabilistic method to model and analyze randomly deployed wireless sensor networks Gives working modes and scheduling mechanisms for sensor nodes, allowing high-probability of target detection Considers the relationship between sensor behaviour and network performance and lifetime Offers probabilistic forwarding routing protocols for randomly deployed wireless sensor networks Describes a method for localizing multiple targets and estimating their number

Wireless Networking

Wireless Networking PDF Author: Anurag Kumar
Publisher: Elsevier
ISBN: 0080558305
Category : Computers
Languages : en
Pages : 447

Book Description
Over the past decade, the world has witnessed an explosion in the development and deployment of new wireless network technologies. From cellular mobile telephony to the ubiquitous “WiFi networks in coffee-shops and airports, to the emerging WiMAX wireless broadband access networks, the menu of wireless access systems has become so comprehensive that wireline access to user devices may soon become a relic of the past. Wireless Networking serves as a one-stop view of cellular, WiFi, and WiMAX networks, as well as the emerging wireless ad hoc and sensor networks. Rather than provide descriptive accounts of these technologies and standards, the book emphasizes conceptual perspectives on the modeling, analysis, design and optimization of such networks. Furthermore, the authors present wireless networking within the unifying framework of resource allocation, using simple abstractions of the underlying physical wireless communication. In short, Wireless Networking is an in-depth, exhaustive, and invaluable asset to anyone working in this rapidly evolving field. Goes beyond descriptive and qualitative treatments, by presenting the foundations underlying the various wireless networking technologies Provides abstractions, models and analyses of established and emerging wireless networks, thereby supplying the reader with a conceptual and quantitative treatment, thus ensuring longevity of the learning from this material Aids comprehension by including over 120 figures, four appendices on the mathematics of the various models, several inline exercises, and extensive problem sets at the end of each chapter

Modeling User Mobility for the Simulation of Wireless Ad Hoc Access Networks

Modeling User Mobility for the Simulation of Wireless Ad Hoc Access Networks PDF Author: Jan Kraaier
Publisher: Cuvillier Verlag
ISBN: 3736926901
Category : Technology & Engineering
Languages : en
Pages : 194

Book Description
Abstract Simulation of wireless networks is often the only available means for investigation and analysis of the network’s properties. In order for these simulations to produce meaningful results, not only the network infrastructure but also the wireless network users have to be modeled describing their relevant behavior. This thesis deals with mobility modeling for wireless ad hoc access network simulations. For these networks, mobility of users can be identified as one major factor influencing the performance of wireless networks. Properties of mobility models are analyzed and an assessment of their impact on network evaluation is made. The investigated models are analyzed in detailed computer simulations, and general properties are derived by analytical evaluation. Simulations of different models with different ad hoc access networks show the large impact of mobility models and their parameters. Finally, suggestions are made concerning the required detail in mobility modelling for the analyzed networks and applications. From the results, conclusions can be drawn on what kind of mobility model must be selected for which network simulation task. This is a decision that has to be made for every investigation using wireless network simulation.

Random Wireless Networks

Random Wireless Networks PDF Author: Rahul Vaze
Publisher: Cambridge University Press
ISBN: 131633886X
Category : Technology & Engineering
Languages : en
Pages : 248

Book Description
This book discusses the theoretical limits of information transfer in random wireless networks or ad hoc networks, where nodes are distributed uniformly in space and there is no centralised control. It provides a detailed analysis of the two relevant notions of capacity for random wireless networks – transmission capacity and throughput capacity. The book starts with the transmission capacity framework that is first presented for the single-hop model and later extended to the multi-hop model with retransmissions. Reusing some of the tools developed for analysis of transmission capacity, a few key long-standing questions about the performance analysis of cellular networks are also provided for the benefit of students. The discussion goes further into the concept of hierarchical co-operation that allows throughput capacity to scale linearly with the number of nodes. The author finally discusses the concept of hierarchical co-operation that allows throughput capacity to scale linearly with the number of nodes.

Performance Modeling, Stochastic Networks, and Statistical Multiplexing, Second Edition

Performance Modeling, Stochastic Networks, and Statistical Multiplexing, Second Edition PDF Author: Ravi Mazumdar
Publisher: Springer Nature
ISBN: 3031792602
Category : Computers
Languages : en
Pages : 197

Book Description
This monograph presents a concise mathematical approach for modeling and analyzing the performance of communication networks with the aim of introducing an appropriate mathematical framework for modeling and analysis as well as understanding the phenomenon of statistical multiplexing. The models, techniques, and results presented form the core of traffic engineering methods used to design, control and allocate resources in communication networks.The novelty of the monograph is the fresh approach and insights provided by a sample-path methodology for queueing models that highlights the important ideas of Palm distributions associated with traffic models and their role in computing performance measures. The monograph also covers stochastic network theory including Markovian networks. Recent results on network utility optimization and connections to stochastic insensitivity are discussed. Also presented are ideas of large buffer, and many sources asymptotics that play an important role in understanding statistical multiplexing. In particular, the important concept of effective bandwidths as mappings from queueing level phenomena to loss network models is clearly presented along with a detailed discussion of accurate approximations for large networks.

Modeling and Analysis of Wireless Networks with Correlation and Motion

Modeling and Analysis of Wireless Networks with Correlation and Motion PDF Author: Chang-sik Choi
Publisher:
ISBN:
Category :
Languages : en
Pages : 528

Book Description
The use of stochastic geometry allows the analysis of the typical performance of a wireless network. Specifically, under a stationary framework, the network performance at a typical receiver represents the network performance spatially-averaged over all receivers. This approach has been applied to the Poisson point processes whose points are independently located in space. The Poisson point process expresses a total independence type randomness in network architectures. Its tractability leads to its wide use in modeling various wireless networks, e.g., cellular networks, ad hoc networks, and vehicular networks. However, a network analysis using the Poisson point process might be inaccurate when the network components are geometrically correlated or in motion, as in heterogeneous cellular networks, or vehicular networks. For instance, macro base stations are deployed far from each other. Vehicles are located on roads, i.e., lines, and they move on the lines. As a result, the analysis of these networks can be improved by new spatial models that capture these spatial and dynamic features. In my first contribution, I derive the signal-to-interference ratio (SIR) coverage probability of a typical user in heterogeneous cellular networks where base stations are modeled by the sum of a Poisson point process and a stationary square grid. In my second contribution, I develop a stationary framework based on the sum of a Cox point process and a Poisson point process to model random cellular networks with linear base stations and linear users on straight lines. I derive the SIR coverage probability of the typical user and characterize its association. In the third contribution, I investigate the statistical properties of the Cox point process, exploring the nearest distance distribution and the convergence of the Cox-Voronoi cell. In the above three contributions, I analyze the performance of wireless networks by focusing on their correlated structures, extracting results which cannot be obtained from models based only on Poisson point processes. In my fourth contribution, I propose a new technology for harvesting Internet-of-Things (IoT) data based on mesh relaying with vehicles as sinks. I derive the network capacity and compare it to the traditional approach, which is based on static base stations. In the fifth contribution, I derive the SIR distribution of direct communication from roadside devices to vehicles. By characterizing the evolution of the network snapshots, I derive the behavior of vehicles' service coverage area and the network latency. In my sixth contribution, I propose a data harvesting technology for the ground-based data devices, based on the use of unmanned aerial vehicles (UAVs). I derive the total data transmitted from a typical device by characterizing the evolution of network geometry with respect to time. These last three contributions are built on a combination of network snapshot analysis and network evolution analysis