Preface |
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xi | |
Author |
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xiii | |
Chapter 1 Introduction |
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1 | (6) |
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2 | (2) |
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4 | (2) |
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6 | (1) |
Chapter 2 Deployment Of Wireless Sensor Networks In Outdoor Environment Monitoring: An Overview |
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7 | (14) |
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2.1 Desired Network Properties in OEM |
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8 | (3) |
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8 | (1) |
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9 | (1) |
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10 | (1) |
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2.2 Random vs. Deterministic WSNs Deployment |
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11 | (5) |
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12 | (1) |
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2.2.2 Deterministic (Grid-Based) Deployment |
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12 | (4) |
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16 | (2) |
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18 | (3) |
Chapter 3 Efficient Deployment Of Wireless Sensor Networks Targeting Environment Monitoring Applications |
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21 | (42) |
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25 | (2) |
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3.2 System Models and Problem Definition |
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27 | (11) |
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3.2.1 Network Model and Placement Problem |
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28 | (2) |
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3.2.2 Cost and Communication Models |
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30 | (1) |
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31 | (7) |
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38 | (14) |
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3.3.1 First Phase of the O3DwLC Strategy |
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39 | (3) |
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3.3.2 Second Phase of the O3DwLC Strategy |
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42 | (10) |
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3.4 Performance Evaluation |
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52 | (7) |
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53 | (1) |
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54 | (5) |
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59 | (1) |
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60 | (3) |
Chapter 4 Optimized Relay Placement For Wireless Sensor Networks Federation In Environmental Applications |
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63 | (22) |
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66 | (1) |
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4.2 Optimized WSN Federation |
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67 | (8) |
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4.2.1 Definitions and Assumptions |
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67 | (1) |
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4.2.2 Deployment Strategy |
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68 | (7) |
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4.2.2.1 Grid-Based ORP (GORP) |
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68 | (6) |
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4.2.2.2 The General Non-Grid (ORP) |
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74 | (1) |
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4.3 Performance Evaluation |
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75 | (7) |
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4.3.1 Simulation Environment |
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75 | (1) |
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4.3.2 Performance Metrics and Parameters |
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75 | (2) |
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4.3.3 Baseline Approaches |
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77 | (1) |
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78 | (1) |
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78 | (4) |
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82 | (1) |
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82 | (3) |
Chapter 5 Towards Augmenting Federated Wireless Sensor Networks In Forestry Applications |
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85 | (22) |
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5.1 Background and Related Work |
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87 | (1) |
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88 | (4) |
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88 | (1) |
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5.2.2 Communication Model |
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89 | (1) |
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90 | (1) |
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91 | (1) |
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5.3 Fixing Augmented Network Damage Intelligently (FADI): The Approach |
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92 | (7) |
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5.4 Performance Evaluation |
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99 | (5) |
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5.4.1 Performance Metrics and Parameters |
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100 | (1) |
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5.4.2 Baseline Approaches |
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100 | (1) |
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5.4.3 Simulation Setup and Results |
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101 | (3) |
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104 | (1) |
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105 | (2) |
Chapter 6 Optimized Hexagon-Based Deployment For Large-Scale Ubiquitous Sensor Networks |
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107 | (36) |
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109 | (2) |
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111 | (6) |
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111 | (1) |
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6.2.2 Energy Consumption Model |
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112 | (1) |
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6.2.3 Communication Model |
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112 | (1) |
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113 | (3) |
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113 | (1) |
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114 | (2) |
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116 | (1) |
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6.3 The 02D Deployment Strategy |
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117 | (8) |
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125 | (3) |
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6.5 Simulation Results and Discussion |
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128 | (10) |
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131 | (1) |
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6.5.2 Evaluation of the Square-Based Grid |
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131 | (3) |
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6.5.2.1 Node Reliability (NR) |
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132 | (1) |
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6.5.2.2 Instantaneous Throughput (IT) |
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132 | (1) |
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132 | (2) |
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6.5.3 Evaluation of the Hexagon-Based Grid |
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134 | (11) |
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6.5.3.1 Instantaneous Throughput (IT) |
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135 | (1) |
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6.5.3.2 Node Reliability (NR) |
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136 | (2) |
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138 | (1) |
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139 | (4) |
Chapter 7 Towards Prolonged Lifetime For Deployed Wireless Sensor Networks In Outdoor Environment Monitoring |
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143 | (38) |
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145 | (5) |
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149 | (1) |
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150 | (4) |
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7.2.1 Communication Model |
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151 | (1) |
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151 | (2) |
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7.2.3 Lifetime and Energy Models |
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153 | (1) |
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154 | (12) |
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7.3.1 First Phase of the 03D Strategy |
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155 | (3) |
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7.3.2 Second Phase of the 03D Strategy |
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158 | (8) |
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7.4 Lifetime Theoretical Analysis |
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166 | (2) |
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7.5 Performance Evaluation and Discussion |
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168 | (7) |
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169 | (1) |
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169 | (6) |
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175 | (1) |
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176 | (5) |
Chapter 8 Path Planning For Mobile Data Collectors In Future Cities |
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181 | (20) |
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184 | (1) |
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185 | (2) |
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186 | (1) |
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187 | (1) |
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8.2.3 Communication Model |
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187 | (1) |
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8.3 Hybrid Genetic-based Path Planning (HGPP) Approach |
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187 | (3) |
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8.3.1 Chromosome Representation |
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188 | (1) |
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8.3.2 Initial Population Creation |
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188 | (1) |
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188 | (2) |
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8.4 Performance Evaluation |
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190 | (7) |
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190 | (1) |
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8.4.2 Performance Metrics and Parameters |
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190 | (1) |
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191 | (6) |
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197 | (2) |
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199 | (2) |
Chapter 9 Conclusions And Future Directions |
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201 | (4) |
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202 | (1) |
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203 | (2) |
Index |
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205 | |