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Analytical Modeling of Wireless Communication Systems [Paperback]

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  • Category: Books (Technology & Engineering)
  • Author:  Chiasserini, Carla-Fabiana, Gribaudo, Marco, Manini, Daniele
  • Author:  Chiasserini, Carla-Fabiana, Gribaudo, Marco, Manini, Daniele
  • ISBN-10:  184821944X
  • ISBN-10:  184821944X
  • ISBN-13:  9781848219441
  • ISBN-13:  9781848219441
  • Publisher:  Wiley-ISTE
  • Publisher:  Wiley-ISTE
  • Pages:  150
  • Pages:  150
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-May-2016
  • Pub Date:  01-May-2016
  • SKU:  184821944X-11-SPLV
  • SKU:  184821944X-11-SPLV
  • Item ID: 100717449
  • List Price: $177.95
  • Seller: ShopSpell
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  • Delivery by: Jul 01 to Jul 03
  • Notes: Brand New Book. Order Now.

Wireless networks represent an inexpensive and convenient way to connect to the Internet. However, despite their applications across several technologies, one challenge still remains: to understand the behavior of wireless sensor networks and assess their performance in large-scale scenarios.

When a large number of network nodes need to interact, developing suitable analytical models is essential to ensure the appropriate coverage and throughput of these networks and to enhance user mobility. This is intrinsically difficult due to the size and number of different network nodes and users.

This book highlights some examples which show how this problem can be overcome with the use of different techniques. An intensive parameter analysis shows the reader how to the exploit analytical models for an effective development and management of different types of wireless networks.

Preface ix

Introduction xi

List of Acronyms xv

Part 1. Sensor Networks 1

Chapter 1. Fluid Models and Energy Issues 3

1.1. The fluid-based approach 4

1.1.1. Sensor density and traffic generation 5

1.1.2. Data routing 5

1.1.3. Local and relay traffic rates 6

1.1.4. Channel contention and data transmission 6

1.1.5. Mean packet delivery delay  7

1.1.6. Sensor active/sleep behavior 7

1.2. Network scenario 7

1.3. The sensor network model 11

1.3.1. A minimum energy routing strategy: computing u(r:r) 11

1.3.2. Channel contention and data transmission: computing s(r) and PR(r) 17

1.3.3. Mean packet delivery delay: computing q(r) 22

1.4. Results 24

1.4.1. Model vallsŒ

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