Scalability, Density, and Decision Making in Cognitive Wireless Networks

Scalability, Density, and Decision Making in Cognitive Wireless Networks
Author: Preston Marshall
Publisher: Cambridge University Press
Total Pages: 361
Release: 2013
Genre: Computers
ISBN: 1107015499

Download Scalability, Density, and Decision Making in Cognitive Wireless Networks Book in PDF, Epub and Kindle

Learn to integrate information and decision theory to extend network density and scaling to unprecedented levels.

Scaling Laws for Ad Hoc Wireless Networks

Scaling Laws for Ad Hoc Wireless Networks
Author: Feng Xue
Publisher: Now Publishers Inc
Total Pages: 144
Release: 2006
Genre: Computers
ISBN: 1933019360

Download Scaling Laws for Ad Hoc Wireless Networks Book in PDF, Epub and Kindle

The advent of ad hoc wireless networks demands fundamental understanding about what they can provide in the way of information transfer as well as what the appropriate architectures are for operating them. Scaling Laws for Ad-Hoc Wireless Networks: An Information Theoretic Approach addresses these questions by presenting various models and results that quantify how their information hauling capacity scales with the number of nodes in the network, and also sheds light on high level architecture design for information transport. Scaling Laws for Ad-Hoc Wireless Networks: An Information Theoretic Approach is an invaluable resource for every network engineer or researcher designing or building ad hoc wireless networks.

Capacity Scaling and Optimal Operation of Wireless Networks

Capacity Scaling and Optimal Operation of Wireless Networks
Author: Javad Ghaderi
Publisher:
Total Pages: 64
Release: 2008
Genre:
ISBN: 9780494436622

Download Capacity Scaling and Optimal Operation of Wireless Networks Book in PDF, Epub and Kindle

How much information can be transferred over a wireless network and what is the optimal strategy for the operation of such network? This thesis tries to answer some of these questions from an information theoretic approach. A model of wireless network is formulated to capture the main features of the wireless medium as well as topology of the network. The performance metrics are throughput and transport capacity. The throughput is the summation of all reliable communication rates for all source-destination pairs in the network. The transport capacity is a sum rate where each rate is weighted by the distance over which it is transported. Based on the network model, we study the scaling laws for the performance measures as the number of users in the network grows. First, we analyze the performance of multihop wireless network under different criteria for successful reception of packets at the receiver. Then, we consider the problem of information transfer without arbitrary assumptions on the operation of the network. We observe that there is a dichotomy between the cases of relatively high signal attenuation and low attenuation. Moreover, a fundamental relationship between the performance metrics and the total transmitted power of users is discovered. As a result, the optimality of multihop is demonstrated for some scenarios in high attenuation regime, and better strategies than multihop are proposed for the operation in the low attenuation regime. Then, we study the performance of a special class of networks, random networks, where the traffic is uniformly distributed inside the networks. For this special class, the upperbounds on the throughput are presented for both low and high attenuation cases. To achieve the presented upperbounds, a hierarchical cooperation scheme is analyzed and optimized by choosing the number of hierarchical stages and the corresponding cluster sizes that maximize the total throughput. In addition, to apply the hierarchical cooperation scheme to random networks, a clustering algorithm is developed, which divides the whole network into quadrilateral clusters, each with exactly the number of nodes required.

Guide to Wireless Sensor Networks

Guide to Wireless Sensor Networks
Author: Sudip Misra
Publisher: Springer Science & Business Media
Total Pages: 725
Release: 2009-05-29
Genre: Computers
ISBN: 1848822189

Download Guide to Wireless Sensor Networks Book in PDF, Epub and Kindle

Overview and Goals Wireless communication technologies are undergoing rapid advancements. The last few years have experienced a steep growth in research in the area of wireless sensor networks (WSNs). In WSNs, communication takes place with the help of spatially distributedautonomoussensornodesequippedtosensespeci?cinformation. WSNs, especially the ones that have gained much popularity in the recent years, are, ty- cally, ad hoc in nature and they inherit many characteristics/features of wireless ad hoc networks such as the ability for infrastructure-less setup, minimal or no reliance on network planning, and the ability of the nodes to self-organize and self-con?gure without the involvement of a centralized network manager, router, access point, or a switch. These features help to set up WSNs fast in situations where there is no existing network setup or in times when setting up a ?xed infrastructure network is considered infeasible, for example, in times of emergency or during relief - erations. WSNs ?nd a variety of applications in both the military and the civilian population worldwide such as in cases of enemy intrusion in the battle?eld, object tracking, habitat monitoring, patient monitoring, ?re detection, and so on. Even though sensor networks have emerged to be attractive and they hold great promises for our future, there are several challenges that need to be addressed. Some of the well-known challenges are attributed to issues relating to coverage and deployment, scalability, quality-of-service, size, computational power, energy ef?ciency, and security.

On the Scalability of Ad Hoc Wireless Networks

On the Scalability of Ad Hoc Wireless Networks
Author:
Publisher:
Total Pages: 121
Release: 2008
Genre: Ad hoc networks (Computer networks)
ISBN:

Download On the Scalability of Ad Hoc Wireless Networks Book in PDF, Epub and Kindle

This dissertation considers the problem of scaling ad hoc wireless networks now being applied to urban mesh and sensor networks scenarios. Ad hoc networks involve multi-hop communication which has inherent scaling problems in that throughput per node drops as the square root of the number of nodes in the network. We investigate mechanisms for improving performance and scalability of multi-hop wireless networks, with focus on system architecture and routing protocol aspects. First we propose a generalized multi-tier hierarchical hybrid network with three tiers of radio nodes: low-power end-user mobile nodes (MN) at the lowest tier, higher power radio forwarding nodes (FN) that support multi-hop routing at intermediate level, and wired access points (AP) at the highest level. We present an analytical model for the capacity of the proposed network and identify conditions on transmission range and node density for scalability to be maintained. From the derived upper and lower bounds, it is shown that the low-tier capacity increases linearly with the number of FN's, and that the high-tier capacity grows linearly with the number of AP's in the scaling region. The analytically obtained capacity results are validated with detailed system simulations for dense network scenarios. The simulation study also examines the allocation of separate channels to avoid the increased protocol overhead which arises in the single channel case. A heuristic distributed channel assignment algorithm is proposed to achieve conflict-free transmissions in the network. Next, we investigate cross-layer adaptive routing as another type of scaling mechanism. An adaptive routing framework, which allows introduction of adjustable parameters and programmable routing modules, is described. The proposed framework can support various cross-layer mechanisms including those based on integrated routing metrics that incorporate PHY and MAC information. We investigate a PHY/MAC aware routing metric (PARMA) which incorporates physical layer link speed and MAC congestion. Design and implementation of PARMA are outlined, and simulation results for typical multi-rate 802.11 ad hoc network scenarios show that PARMA helps improve throughput and decrease congestion by selecting paths with high bit-rate links while avoiding MAC congestion areas.

Capacity Analysis of Vehicular Communication Networks

Capacity Analysis of Vehicular Communication Networks
Author: Ning Lu
Publisher: Springer Science & Business Media
Total Pages: 91
Release: 2013-09-21
Genre: Computers
ISBN: 1461483972

Download Capacity Analysis of Vehicular Communication Networks Book in PDF, Epub and Kindle

This SpringerBrief focuses on the network capacity analysis of VANETs, a key topic as fundamental guidance on design and deployment of VANETs is very limited. Moreover, unique characteristics of VANETs impose distinguished challenges on such an investigation. This SpringerBrief first introduces capacity scaling laws for wireless networks and briefly reviews the prior arts in deriving the capacity of VANETs. It then studies the unicast capacity considering the socialized mobility model of VANETs. With vehicles communicating based on a two-hop relaying scheme, the unicast capacity bound is derived and can be applied to predict the throughput of real-world scenarios of VANETs. The downlink capacity of VANETs is also investigated in which access infrastructure is deployed to provide pervasive Internet access to vehicles. Different alternatives of wireless access infrastructure are considered. A lower bound of downlink capacity is derived for each type of access infrastructure. The last section of this book presents a case study based on a perfect city grid to examine the capacity-cost trade-offs of different deployments since the deployment costs of different access infrastructure are highly variable.

Scalable Signal Processing in Cloud Radio Access Networks

Scalable Signal Processing in Cloud Radio Access Networks
Author: Ying-Jun Angela Zhang
Publisher: Springer
Total Pages: 100
Release: 2019-04-23
Genre: Technology & Engineering
ISBN: 3030158845

Download Scalable Signal Processing in Cloud Radio Access Networks Book in PDF, Epub and Kindle

This Springerbreif introduces a threshold-based channel sparsification approach, and then, the sparsity is exploited for scalable channel training. Last but not least, this brief introduces two scalable cooperative signal detection algorithms in C-RANs. The authors wish to spur new research activities in the following important question: how to leverage the revolutionary architecture of C-RAN to attain unprecedented system capacity at an affordable cost and complexity. Cloud radio access network (C-RAN) is a novel mobile network architecture that has a lot of significance in future wireless networks like 5G. the high density of remote radio heads in C-RANs leads to severe scalability issues in terms of computational and implementation complexities. This Springerbrief undertakes a comprehensive study on scalable signal processing for C-RANs, where ‘scalable’ means that the computational and implementation complexities do not grow rapidly with the network size. This Springerbrief will be target researchers and professionals working in the Cloud Radio Access Network (C-Ran) field, as well as advanced-level students studying electrical engineering.