Preface |
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ix | |
Introduction |
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xiii | |
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Chapter 1 A Survey of Switched Ethernet Solutions for Real-time Audio/Video Communications |
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1 | (30) |
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1 | (6) |
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1.1.1 Automotive industry |
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2 | (1) |
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3 | (2) |
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1.1.3 Industrial automation |
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5 | (2) |
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1.2 Ethernet AVB solution |
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7 | (5) |
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1.2.1 Physical and MAC layers |
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7 | (1) |
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1.2.2 Ethernet AVB standard family |
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8 | (3) |
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1.2.3 Evolution: Ethernet TSN |
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11 | (1) |
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1.3 AVB deterministic RT communications |
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12 | (13) |
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1.3.1 Class A/B RT constraints |
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13 | (1) |
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1.3.2 CBSA (credit-based shaping algorithm) |
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13 | (3) |
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1.3.3 End-to-end communication delays |
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16 | (9) |
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1.4 A representative automotive configuration |
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25 | (3) |
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28 | (1) |
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28 | (3) |
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Chapter 2 Representation of Networks of Wireless Sensors with a Grayscale Image: Application to Routing |
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31 | (36) |
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31 | (2) |
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33 | (3) |
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33 | (1) |
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2.2.2 Construction of a gray level image for a network |
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34 | (1) |
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35 | (1) |
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2.3 Image processing algorithm |
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36 | (7) |
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2.3.1 Convolution filters |
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36 | (1) |
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37 | (1) |
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37 | (1) |
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38 | (2) |
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40 | (1) |
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2.3.6 Deformable models for border detection |
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41 | (1) |
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42 | (1) |
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2.3.8 Minimal energy curve |
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43 | (1) |
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43 | (1) |
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43 | (18) |
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2.4.1 Routing algorithm based on the Sobel filter |
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43 | (4) |
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2.4.2 Routing protocol with the mean filter |
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47 | (4) |
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2.4.3 Routing protocol using deformations |
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51 | (10) |
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61 | (2) |
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63 | (4) |
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Chapter 3 Routing and Data Diffusion in Vehicular Ad Hoc Networks |
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67 | (30) |
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67 | (1) |
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3.2 Background and challenges |
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68 | (8) |
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3.2.1 Communication standard |
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69 | (1) |
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70 | (6) |
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76 | (11) |
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77 | (5) |
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82 | (5) |
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87 | (6) |
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3.4.1 Security requirements in VANET |
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88 | (1) |
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3.4.2 VANET security threats |
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88 | (4) |
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3.4.3 VANET security mechanisms: IEEE 1609.2-2016 standard |
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92 | (1) |
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93 | (1) |
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94 | (3) |
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Chapter 4 New "Graphiton" Model: A Computational Discrete Space, Self-Encoded as Trivalent Spin Networks |
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97 | (18) |
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97 | (1) |
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4.2 Graphitation, bottom-up approach |
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98 | (6) |
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99 | (3) |
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4.2.2 Global topology of space |
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102 | (1) |
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102 | (1) |
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103 | (1) |
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104 | (1) |
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4.3 Mathematical formalism |
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104 | (6) |
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104 | (6) |
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4.4 Perturbation tolerance |
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110 | (1) |
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111 | (1) |
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112 | (3) |
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Chapter 5 Beacon Cluster-Tree Construction for ZigBee/IEEE802.15.4 Networks |
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115 | (30) |
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115 | (3) |
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5.2 IEEE 802.15.4 overview |
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118 | (6) |
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5.2.1 EEE 802.15.4 physical layer |
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118 | (1) |
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5.2.2 IEEE 802.15.4 MAC sub-layer overview |
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119 | (3) |
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5.2.3 Non-beacon-enabled network |
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122 | (1) |
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5.2.4 Beacon-enabled network |
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123 | (1) |
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5.3 Beacon frame collision problem in a Cluster-Tree topology |
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124 | (3) |
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5.3.1 Direct beacon frame collision |
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124 | (2) |
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5.3.2 Indirect beacon frame collision |
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126 | (1) |
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5.4 Proposed new approach |
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127 | (3) |
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5.5 Narrowband multipath fading model |
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130 | (4) |
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5.6 Model multipath simulation |
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134 | (3) |
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137 | (4) |
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141 | (1) |
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142 | (3) |
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Chapter 6 One-by-One Embedding of the Twisted Hypercube into Pancake Graph |
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145 | (26) |
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145 | (1) |
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6.2 Preliminaries theory analysis |
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146 | (6) |
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6.2.1 Definition 6.1 construction |
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146 | (1) |
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6.2.2 Definition 6.2 construction |
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147 | (3) |
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6.2.3 Definition 6.3 construction |
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150 | (1) |
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151 | (1) |
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6.3 Embedding n-dimensional twisted hypercube graph into n-dimensional twisted pancake graph |
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152 | (10) |
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6.3.1 Embed node(node) algorithm |
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152 | (5) |
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6.3.2 Embed_edge(nodedep, nodearr) algorithm |
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157 | (1) |
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6.3.3 Embed1_edge(nodedep, nodearr) algorithm |
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157 | (2) |
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6.3.4 Embed2_edge(nodedep, nodearr) algorithm |
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159 | (1) |
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6.3.5 Embed3_edge(nodedep, nodarr) algorithm |
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160 | (2) |
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6.4 Dilations of many-to-one n-dimensional twisted hypercube embedded into n-dimensional pancake |
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162 | (4) |
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162 | (2) |
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164 | (2) |
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166 | (1) |
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167 | (4) |
List of Authors |
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171 | (2) |
Index |
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173 | |