Mobility models for next generation wireless networks : ad hoc, vehicular, and mesh networks / / Paolo Santi |
Autore | Santi Paolo |
Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2012 |
Descrizione fisica | 1 online resource (376 p.) |
Disciplina | 004.6 |
Collana | Wiley series on communications networking & distributed systems |
Soggetto topico | Wireless communication systems |
ISBN |
1-280-69673-7
9786613673695 1-118-34476-6 1-118-34477-4 1-118-34491-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
List of Figures xv -- List of Tables xxiii -- About the Author xxv -- Preface xxvii -- Acknowledgments xxxiii -- List of Abbreviations xxxv -- Part I INTRODUCTION -- 1 Next Generation Wireless Networks 3 -- 1.1 WLAN and Mesh Networks 5 -- 1.2 Ad Hoc Networks 8 -- 1.3 Vehicular Networks 10 -- 1.4 Wireless Sensor Networks 13 -- 1.5 Opportunistic Networks 14 -- 2 Modeling Next Generation Wireless Networks 19 -- 2.1 Radio Channel Models 20 -- 2.2 The Communication Graph 26 -- 2.3 The Energy Model 31 -- 3 Mobility Models for Next Generation Wireless Networks 33 -- 3.1 Motivation 33 -- 3.2 Cellular vs. Next Generation Wireless Network Mobility Models 35 -- 3.3 A Taxonomy of Existing Mobility Models 38 -- 3.4 Mobility Models and Real-World Traces: The CRAWDAD Resource 43 -- 3.5 Basic Definitions 45 -- Part II “GENERAL-PURPOSE” MOBILITY MODELS -- 4 Random Walk Models 51 -- 4.1 Discrete Random Walks 52 -- 4.2 Continuous Random Walks 55 -- 4.3 Other Random Walk Models 57 -- 4.4 Theoretical Properties of Random Walk Models 58 -- 5 The Random Waypoint Model 61 -- 5.1 The RWP Model 62 -- 5.2 The Node Spatial Distribution of the RWP Model 64 -- 5.3 The Average Nodal Speed of the RWP Model 69 -- 5.4 Variants of the RWP Model 73 -- 6 Group Mobility and Other Synthetic Mobility Models 75 -- 6.1 The RPGM Model 76 -- 6.2 Other Synthetic Mobility Models 83 -- 7 Random Trip Models 89 -- 7.1 The Class of Random Trip Models 89 -- 7.2 Stationarity of Random Trip Models 93 -- 7.3 Examples of Random Trip Models 94 -- Part III MOBILITY MODELS FOR WLAN AND MESH NETWORKS -- 8 WLAN and Mesh Networks 101 -- 8.1 WLAN and Mesh Networks: State of the Art 101 -- 8.2 WLAN and Mesh Networks: User Scenarios 107 -- 8.3 WLAN and Mesh Networks: Perspectives 109 -- 8.4 Further Reading 111 -- 9 Real-World WLAN Mobility 113 -- 9.1 Real-World WLAN Traces 113 -- 9.2 Features of WLAN Mobility 116 -- 10 WLAN Mobility Models 121 -- 10.1 The LH Mobility Model 122 -- 10.2 The KKK Mobility Model 129 -- 10.3 Final Considerations and Further Reading 137.
Part IV MOBILITY MODELS FOR VEHICULAR NETWORKS -- 11 Vehicular Networks 141 -- 11.1 Vehicular Networks: State of the Art 141 -- 11.2 Vehicular Networks: User Scenarios 146 -- 11.3 Vehicular Networks: Perspectives 150 -- 11.4 Further Reading 151 -- 12 Vehicular Networks: Macroscopic and Microscopic Mobility Models 153 -- 12.1 Vehicular Mobility Models: The Macroscopic View 154 -- 12.2 Vehicular Mobility Models: The Microscopic View 156 -- 12.3 Further Reading 157 -- 13 Microscopic Vehicular Mobility Models 159 -- 13.1 Simple Microscopic Mobility Models 159 -- 13.2 The SUMO Mobility Model 164 -- 13.3 Integrating Vehicular Mobility and Wireless Network Simulation 168 -- Part V MOBILITY MODELS FOR WIRELESS SENSOR NETWORKS -- 14 Wireless Sensor Networks 175 -- 14.1 Wireless Sensor Networks: State of the Art 175 -- 14.2 Wireless Sensor Networks: User Scenarios 180 -- 14.3 WSNs: Perspectives 183 -- 14.4 Further Reading 184 -- 15 Wireless Sensor Networks: Passive Mobility Models 185 -- 15.1 Passive Mobility in WSNs 186 -- 15.2 Mobility Models for Wildlife Tracking Applications 187 -- 15.3 Modeling Movement Caused by External Forces 191 -- 16 Wireless Sensor Networks: Active Mobility Models 197 -- 16.1 Active Mobility of Sensor Nodes 198 -- 16.2 Active Mobility of Sink Nodes 208 -- Part VI MOBILITY MODELS FOR OPPORTUNISTIC NETWORKS -- 17 Opportunistic Networks 217 -- 17.1 Opportunistic Networks: State of the Art 217 -- 17.2 Opportunistic Networks: User Scenarios 219 -- 17.3 Opportunistic Networks: Perspectives 222 -- 17.4 Further Reading 223 -- 18 Routing in Opportunistic Networks 225 -- 18.1 Mobility-Assisted Routing in Opportunistic Networks 225 -- 18.2 Opportunistic Network Mobility Metrics 231 -- 19 Mobile Social Network Analysis 237 -- 19.1 The Social Network Graph 238 -- 19.2 Centrality and Clustering Metrics 239 -- 19.3 Characterizations of Human Mobility 244 -- 19.4 Further Reading 250 -- 20 Social-Based Mobility Models 251 -- 20.1 The Weighted Random Waypoint Mobility Model 252. 20.2 The Time-Variant Community Mobility Model 254 -- 20.3 The Community-Based Mobility Model 256 -- 20.4 The SWIM Mobility Model 259 -- 20.5 The Self-Similar Least Action Walk Model 264 -- 20.6 The Home-MEG Model 267 -- 20.7 Further Reading 270 -- Part VII CASE STUDIES -- 21 Random Waypoint Model and Wireless Network Simulation 275 -- 21.1 RWP Model and Simulation Accuracy 276 -- 21.2 Removing the Border Effect 278 -- 21.3 Removing Speed Decay 285 -- 21.4 The RWP Model and “Perfect Simulation” 287 -- 22 Mobility Modeling and Opportunistic Network Performance Analysis 293 -- 22.1 Unicast in Opportunistic Networks 293 -- 22.2 Broadcast in Opportunistic Networks 299 -- Appendix A Elements of Probability Theory 309 -- A.1 Basic Notions of Probability Theory 309 -- A.2 Probability Distributions 313 -- A.3 Markov Chains 317 -- Appendix B Elements of Graph Theory, Asymptotic Notation, and Miscellaneous Notions 323 -- B.1 Asymptotic Notation 323 -- B.2 Elements of Graph Theory 326 -- B.3 Miscellaneous Notions 330 -- References 333 -- Index 335. |
Record Nr. | UNINA-9910141256403321 |
Santi Paolo
![]() |
||
Hoboken, New Jersey : , : Wiley, , 2012 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Mobility models for next generation wireless networks : ad hoc, vehicular, and mesh networks / / Paolo Santi |
Autore | Santi Paolo |
Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2012 |
Descrizione fisica | 1 online resource (376 p.) |
Disciplina | 004.6 |
Collana | Wiley series on communications networking & distributed systems |
Soggetto topico | Wireless communication systems |
ISBN |
1-280-69673-7
9786613673695 1-118-34476-6 1-118-34477-4 1-118-34491-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
List of Figures xv -- List of Tables xxiii -- About the Author xxv -- Preface xxvii -- Acknowledgments xxxiii -- List of Abbreviations xxxv -- Part I INTRODUCTION -- 1 Next Generation Wireless Networks 3 -- 1.1 WLAN and Mesh Networks 5 -- 1.2 Ad Hoc Networks 8 -- 1.3 Vehicular Networks 10 -- 1.4 Wireless Sensor Networks 13 -- 1.5 Opportunistic Networks 14 -- 2 Modeling Next Generation Wireless Networks 19 -- 2.1 Radio Channel Models 20 -- 2.2 The Communication Graph 26 -- 2.3 The Energy Model 31 -- 3 Mobility Models for Next Generation Wireless Networks 33 -- 3.1 Motivation 33 -- 3.2 Cellular vs. Next Generation Wireless Network Mobility Models 35 -- 3.3 A Taxonomy of Existing Mobility Models 38 -- 3.4 Mobility Models and Real-World Traces: The CRAWDAD Resource 43 -- 3.5 Basic Definitions 45 -- Part II “GENERAL-PURPOSE” MOBILITY MODELS -- 4 Random Walk Models 51 -- 4.1 Discrete Random Walks 52 -- 4.2 Continuous Random Walks 55 -- 4.3 Other Random Walk Models 57 -- 4.4 Theoretical Properties of Random Walk Models 58 -- 5 The Random Waypoint Model 61 -- 5.1 The RWP Model 62 -- 5.2 The Node Spatial Distribution of the RWP Model 64 -- 5.3 The Average Nodal Speed of the RWP Model 69 -- 5.4 Variants of the RWP Model 73 -- 6 Group Mobility and Other Synthetic Mobility Models 75 -- 6.1 The RPGM Model 76 -- 6.2 Other Synthetic Mobility Models 83 -- 7 Random Trip Models 89 -- 7.1 The Class of Random Trip Models 89 -- 7.2 Stationarity of Random Trip Models 93 -- 7.3 Examples of Random Trip Models 94 -- Part III MOBILITY MODELS FOR WLAN AND MESH NETWORKS -- 8 WLAN and Mesh Networks 101 -- 8.1 WLAN and Mesh Networks: State of the Art 101 -- 8.2 WLAN and Mesh Networks: User Scenarios 107 -- 8.3 WLAN and Mesh Networks: Perspectives 109 -- 8.4 Further Reading 111 -- 9 Real-World WLAN Mobility 113 -- 9.1 Real-World WLAN Traces 113 -- 9.2 Features of WLAN Mobility 116 -- 10 WLAN Mobility Models 121 -- 10.1 The LH Mobility Model 122 -- 10.2 The KKK Mobility Model 129 -- 10.3 Final Considerations and Further Reading 137.
Part IV MOBILITY MODELS FOR VEHICULAR NETWORKS -- 11 Vehicular Networks 141 -- 11.1 Vehicular Networks: State of the Art 141 -- 11.2 Vehicular Networks: User Scenarios 146 -- 11.3 Vehicular Networks: Perspectives 150 -- 11.4 Further Reading 151 -- 12 Vehicular Networks: Macroscopic and Microscopic Mobility Models 153 -- 12.1 Vehicular Mobility Models: The Macroscopic View 154 -- 12.2 Vehicular Mobility Models: The Microscopic View 156 -- 12.3 Further Reading 157 -- 13 Microscopic Vehicular Mobility Models 159 -- 13.1 Simple Microscopic Mobility Models 159 -- 13.2 The SUMO Mobility Model 164 -- 13.3 Integrating Vehicular Mobility and Wireless Network Simulation 168 -- Part V MOBILITY MODELS FOR WIRELESS SENSOR NETWORKS -- 14 Wireless Sensor Networks 175 -- 14.1 Wireless Sensor Networks: State of the Art 175 -- 14.2 Wireless Sensor Networks: User Scenarios 180 -- 14.3 WSNs: Perspectives 183 -- 14.4 Further Reading 184 -- 15 Wireless Sensor Networks: Passive Mobility Models 185 -- 15.1 Passive Mobility in WSNs 186 -- 15.2 Mobility Models for Wildlife Tracking Applications 187 -- 15.3 Modeling Movement Caused by External Forces 191 -- 16 Wireless Sensor Networks: Active Mobility Models 197 -- 16.1 Active Mobility of Sensor Nodes 198 -- 16.2 Active Mobility of Sink Nodes 208 -- Part VI MOBILITY MODELS FOR OPPORTUNISTIC NETWORKS -- 17 Opportunistic Networks 217 -- 17.1 Opportunistic Networks: State of the Art 217 -- 17.2 Opportunistic Networks: User Scenarios 219 -- 17.3 Opportunistic Networks: Perspectives 222 -- 17.4 Further Reading 223 -- 18 Routing in Opportunistic Networks 225 -- 18.1 Mobility-Assisted Routing in Opportunistic Networks 225 -- 18.2 Opportunistic Network Mobility Metrics 231 -- 19 Mobile Social Network Analysis 237 -- 19.1 The Social Network Graph 238 -- 19.2 Centrality and Clustering Metrics 239 -- 19.3 Characterizations of Human Mobility 244 -- 19.4 Further Reading 250 -- 20 Social-Based Mobility Models 251 -- 20.1 The Weighted Random Waypoint Mobility Model 252. 20.2 The Time-Variant Community Mobility Model 254 -- 20.3 The Community-Based Mobility Model 256 -- 20.4 The SWIM Mobility Model 259 -- 20.5 The Self-Similar Least Action Walk Model 264 -- 20.6 The Home-MEG Model 267 -- 20.7 Further Reading 270 -- Part VII CASE STUDIES -- 21 Random Waypoint Model and Wireless Network Simulation 275 -- 21.1 RWP Model and Simulation Accuracy 276 -- 21.2 Removing the Border Effect 278 -- 21.3 Removing Speed Decay 285 -- 21.4 The RWP Model and “Perfect Simulation” 287 -- 22 Mobility Modeling and Opportunistic Network Performance Analysis 293 -- 22.1 Unicast in Opportunistic Networks 293 -- 22.2 Broadcast in Opportunistic Networks 299 -- Appendix A Elements of Probability Theory 309 -- A.1 Basic Notions of Probability Theory 309 -- A.2 Probability Distributions 313 -- A.3 Markov Chains 317 -- Appendix B Elements of Graph Theory, Asymptotic Notation, and Miscellaneous Notions 323 -- B.1 Asymptotic Notation 323 -- B.2 Elements of Graph Theory 326 -- B.3 Miscellaneous Notions 330 -- References 333 -- Index 335. |
Record Nr. | UNINA-9910808300203321 |
Santi Paolo
![]() |
||
Hoboken, New Jersey : , : Wiley, , 2012 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Topology control in wireless ad hoc and sensor networks [[electronic resource] /] / Paolo Santi |
Autore | Santi Paolo |
Pubbl/distr/stampa | Chichester, England ; ; Hoboken, N.J., : Wiley, c2005 |
Descrizione fisica | 1 online resource (281 p.) |
Disciplina |
004.6/8
621.381 |
Soggetto topico |
Wireless communication systems
Wireless LANs Sensor networks |
Soggetto genere / forma | Electronic books. |
ISBN |
1-280-27641-X
9786610276417 0-470-09455-9 0-470-09454-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Topology Control in Wireless Ad Hoc and Sensor Networks; Contents; About the Author; Preface; Acknowledgments; List of Abbreviations; List of Figures; List of Tables; I Introduction; 1 Ad Hoc and Sensor Networks; 1.1 The Future ofWireless Communication; 1.1.1 Ad hoc networks; 1.1.2 Wireless sensor networks; 1.2 Challenges; 1.2.1 Ad hoc networks; 1.2.2 Wireless sensor networks; 2 Modeling Ad Hoc Networks; 2.1 TheWireless Channel; 2.1.1 The free space propagation model; 2.1.2 The two-ray ground model; 2.1.3 The log-distance path model; 2.1.4 Large-scale and small-scale variations
2.2 The Communication Graph2.3 Modeling Energy Consumption; 2.3.1 Ad hoc networks; 2.3.2 Sensor networks; 2.4 Mobility Models; 2.5 Asymptotic Notation; 3 Topology Control; 3.1 Motivations for Topology Control; 3.1.1 Topology control and energy conservation; 3.1.2 Topology control and network capacity; 3.2 A Definition of Topology Control; 3.3 A Taxonomy of Topology Control; 3.4 Topology Control in the Protocol Stack; 3.4.1 Topology control and routing; 3.4.2 Topology control and MAC; II The Critical Transmitting Range; 4 The CTR for Connectivity: Stationary Networks 4.1 The CTR in Dense Networks4.2 The CTR in Sparse Networks; 4.3 The CTR with Different Deployment Region and Node Distribution; 4.4 Irregular Radio Coverage Area; 5 The CTR for Connectivity: Mobile Networks; 5.1 The CTR in RWPMobile Networks .; 5.2 The CTR with Bounded, Obstacle-free Mobility; 6 Other Characterizations of the CTR; 6.1 The CTR for k-connectivity; 6.2 The CTR for Connectivity with Bernoulli Nodes; 6.3 The Critical Coverage Range; III Topology Optimization Problems; 7 The Range Assignment Problem; 7.1 Problem Definition; 7.2 The RA Problem in One-dimensional Networks 7.3 The RA Problem in Two- and Three-dimensional Networks7.4 The Symmetric Versions of the Problem; 7.4.1 The SRA problem in one-dimensional networks; 7.4.2 The SRA problem in two- and three-dimensional networks; 7.4.3 Approximation algorithms for WSRA; 7.5 The Energy Cost of the Optimal Range Assignment; 8 Energy-efficient Communication Topologies; 8.1 Energy-efficient Unicast; 8.2 Energy-efficient Broadcast; IV Distributed Topology Control; 9 Distributed Topology Control: Design Guidelines; 9.1 Ideal Features of a Topology Control Protocol; 9.2 The Quality of Information 9.3 Logical and Physical Node Degrees10 Location-based Topology Control; 10.1 The R&M Protocol; 10.1.1 The power consumption model; 10.1.2 Relay region and enclosure graph; 10.1.3 Protocol description; 10.1.4 Discussion; 10.2 The LMST Protocol; 10.2.1 Protocol description; 10.2.2 Protocol analysis; 10.2.3 The FLSSk protocol; 11 Direction-based Topology Control; 11.1 The CBTC Protocol; 11.1.1 The basic CBTC protocol; 11.1.2 Dealing with asymmetric links; 11.1.3 Protocol analysis; 11.1.4 Removing energy-inef.cient links; 11.1.5 Discussion; 11.1.6 CBTC variants; 11.2 The DistRNG Protocol 12 Neighbor-based Topology Control |
Record Nr. | UNINA-9910143713303321 |
Santi Paolo
![]() |
||
Chichester, England ; ; Hoboken, N.J., : Wiley, c2005 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Topology control in wireless ad hoc and sensor networks [[electronic resource] /] / Paolo Santi |
Autore | Santi Paolo |
Pubbl/distr/stampa | Chichester, England ; ; Hoboken, N.J., : Wiley, c2005 |
Descrizione fisica | 1 online resource (281 p.) |
Disciplina |
004.6/8
621.381 |
Soggetto topico |
Wireless communication systems
Wireless LANs Sensor networks |
ISBN |
1-280-27641-X
9786610276417 0-470-09455-9 0-470-09454-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Topology Control in Wireless Ad Hoc and Sensor Networks; Contents; About the Author; Preface; Acknowledgments; List of Abbreviations; List of Figures; List of Tables; I Introduction; 1 Ad Hoc and Sensor Networks; 1.1 The Future ofWireless Communication; 1.1.1 Ad hoc networks; 1.1.2 Wireless sensor networks; 1.2 Challenges; 1.2.1 Ad hoc networks; 1.2.2 Wireless sensor networks; 2 Modeling Ad Hoc Networks; 2.1 TheWireless Channel; 2.1.1 The free space propagation model; 2.1.2 The two-ray ground model; 2.1.3 The log-distance path model; 2.1.4 Large-scale and small-scale variations
2.2 The Communication Graph2.3 Modeling Energy Consumption; 2.3.1 Ad hoc networks; 2.3.2 Sensor networks; 2.4 Mobility Models; 2.5 Asymptotic Notation; 3 Topology Control; 3.1 Motivations for Topology Control; 3.1.1 Topology control and energy conservation; 3.1.2 Topology control and network capacity; 3.2 A Definition of Topology Control; 3.3 A Taxonomy of Topology Control; 3.4 Topology Control in the Protocol Stack; 3.4.1 Topology control and routing; 3.4.2 Topology control and MAC; II The Critical Transmitting Range; 4 The CTR for Connectivity: Stationary Networks 4.1 The CTR in Dense Networks4.2 The CTR in Sparse Networks; 4.3 The CTR with Different Deployment Region and Node Distribution; 4.4 Irregular Radio Coverage Area; 5 The CTR for Connectivity: Mobile Networks; 5.1 The CTR in RWPMobile Networks .; 5.2 The CTR with Bounded, Obstacle-free Mobility; 6 Other Characterizations of the CTR; 6.1 The CTR for k-connectivity; 6.2 The CTR for Connectivity with Bernoulli Nodes; 6.3 The Critical Coverage Range; III Topology Optimization Problems; 7 The Range Assignment Problem; 7.1 Problem Definition; 7.2 The RA Problem in One-dimensional Networks 7.3 The RA Problem in Two- and Three-dimensional Networks7.4 The Symmetric Versions of the Problem; 7.4.1 The SRA problem in one-dimensional networks; 7.4.2 The SRA problem in two- and three-dimensional networks; 7.4.3 Approximation algorithms for WSRA; 7.5 The Energy Cost of the Optimal Range Assignment; 8 Energy-efficient Communication Topologies; 8.1 Energy-efficient Unicast; 8.2 Energy-efficient Broadcast; IV Distributed Topology Control; 9 Distributed Topology Control: Design Guidelines; 9.1 Ideal Features of a Topology Control Protocol; 9.2 The Quality of Information 9.3 Logical and Physical Node Degrees10 Location-based Topology Control; 10.1 The R&M Protocol; 10.1.1 The power consumption model; 10.1.2 Relay region and enclosure graph; 10.1.3 Protocol description; 10.1.4 Discussion; 10.2 The LMST Protocol; 10.2.1 Protocol description; 10.2.2 Protocol analysis; 10.2.3 The FLSSk protocol; 11 Direction-based Topology Control; 11.1 The CBTC Protocol; 11.1.1 The basic CBTC protocol; 11.1.2 Dealing with asymmetric links; 11.1.3 Protocol analysis; 11.1.4 Removing energy-inef.cient links; 11.1.5 Discussion; 11.1.6 CBTC variants; 11.2 The DistRNG Protocol 12 Neighbor-based Topology Control |
Record Nr. | UNINA-9910830005003321 |
Santi Paolo
![]() |
||
Chichester, England ; ; Hoboken, N.J., : Wiley, c2005 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Topology control in wireless ad hoc and sensor networks / / Paolo Santi |
Autore | Santi Paolo |
Pubbl/distr/stampa | Chichester, England ; ; Hoboken, N.J., : Wiley, c2005 |
Descrizione fisica | 1 online resource (281 p.) |
Disciplina | 004.6/8 |
Soggetto topico |
Wireless communication systems
Wireless LANs Sensor networks |
ISBN |
1-280-27641-X
9786610276417 0-470-09455-9 0-470-09454-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Topology Control in Wireless Ad Hoc and Sensor Networks; Contents; About the Author; Preface; Acknowledgments; List of Abbreviations; List of Figures; List of Tables; I Introduction; 1 Ad Hoc and Sensor Networks; 1.1 The Future ofWireless Communication; 1.1.1 Ad hoc networks; 1.1.2 Wireless sensor networks; 1.2 Challenges; 1.2.1 Ad hoc networks; 1.2.2 Wireless sensor networks; 2 Modeling Ad Hoc Networks; 2.1 TheWireless Channel; 2.1.1 The free space propagation model; 2.1.2 The two-ray ground model; 2.1.3 The log-distance path model; 2.1.4 Large-scale and small-scale variations
2.2 The Communication Graph2.3 Modeling Energy Consumption; 2.3.1 Ad hoc networks; 2.3.2 Sensor networks; 2.4 Mobility Models; 2.5 Asymptotic Notation; 3 Topology Control; 3.1 Motivations for Topology Control; 3.1.1 Topology control and energy conservation; 3.1.2 Topology control and network capacity; 3.2 A Definition of Topology Control; 3.3 A Taxonomy of Topology Control; 3.4 Topology Control in the Protocol Stack; 3.4.1 Topology control and routing; 3.4.2 Topology control and MAC; II The Critical Transmitting Range; 4 The CTR for Connectivity: Stationary Networks 4.1 The CTR in Dense Networks4.2 The CTR in Sparse Networks; 4.3 The CTR with Different Deployment Region and Node Distribution; 4.4 Irregular Radio Coverage Area; 5 The CTR for Connectivity: Mobile Networks; 5.1 The CTR in RWPMobile Networks .; 5.2 The CTR with Bounded, Obstacle-free Mobility; 6 Other Characterizations of the CTR; 6.1 The CTR for k-connectivity; 6.2 The CTR for Connectivity with Bernoulli Nodes; 6.3 The Critical Coverage Range; III Topology Optimization Problems; 7 The Range Assignment Problem; 7.1 Problem Definition; 7.2 The RA Problem in One-dimensional Networks 7.3 The RA Problem in Two- and Three-dimensional Networks7.4 The Symmetric Versions of the Problem; 7.4.1 The SRA problem in one-dimensional networks; 7.4.2 The SRA problem in two- and three-dimensional networks; 7.4.3 Approximation algorithms for WSRA; 7.5 The Energy Cost of the Optimal Range Assignment; 8 Energy-efficient Communication Topologies; 8.1 Energy-efficient Unicast; 8.2 Energy-efficient Broadcast; IV Distributed Topology Control; 9 Distributed Topology Control: Design Guidelines; 9.1 Ideal Features of a Topology Control Protocol; 9.2 The Quality of Information 9.3 Logical and Physical Node Degrees10 Location-based Topology Control; 10.1 The R&M Protocol; 10.1.1 The power consumption model; 10.1.2 Relay region and enclosure graph; 10.1.3 Protocol description; 10.1.4 Discussion; 10.2 The LMST Protocol; 10.2.1 Protocol description; 10.2.2 Protocol analysis; 10.2.3 The FLSSk protocol; 11 Direction-based Topology Control; 11.1 The CBTC Protocol; 11.1.1 The basic CBTC protocol; 11.1.2 Dealing with asymmetric links; 11.1.3 Protocol analysis; 11.1.4 Removing energy-inef.cient links; 11.1.5 Discussion; 11.1.6 CBTC variants; 11.2 The DistRNG Protocol 12 Neighbor-based Topology Control |
Record Nr. | UNINA-9910876755003321 |
Santi Paolo
![]() |
||
Chichester, England ; ; Hoboken, N.J., : Wiley, c2005 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|