Self-organization in sensor and actor networks:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Chichester
Wiley
2007
|
| Schriftenreihe: | Wiley series in communications networking & distributed systems
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XXIV, 362 S. graph. Darst. |
| ISBN: | 0470028203 9780470028209 |
Internformat
MARC
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| 245 | 1 | 0 | |a Self-organization in sensor and actor networks |c Falko Dressler |
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| 300 | |a XXIV, 362 S. |b graph. Darst. | ||
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| 650 | 7 | |a Systèmes auto-organisés |2 ram | |
| 650 | 4 | |a Datenverarbeitung | |
| 650 | 4 | |a Biologically-inspired computing | |
| 650 | 4 | |a Computer networks |x Management |x Data processing | |
| 650 | 4 | |a Self-organizing systems | |
| 650 | 4 | |a Sensor networks | |
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Datensatz im Suchindex
| _version_ | 1804137600431161344 |
|---|---|
| adam_text | Contents
Foreword
xiii
Preface
xv
About the Author
xix
List of Abbreviations
xxi
Self-Organization
1
Introduction to Self-Organization
3
1.1
Understanding self-organization
...................... 4
1.2
Application scenarios for self-organization
................. 5
System Management and Control
-
A Historical Overview
7
2.1
System architecture
............................. 8
2.2
Management and control
.......................... 10
2.2.1
Centralized control
......................... 10
2.2.2
Distributed systems
........................ 11
2.2.3
Self-organizing systems
...................... 14
Self-Organization
-
Context and Capabilities
17
3.1
Complex systems
.............................. 17
3.2
Self-organization and emergence
...................... 19
3.3
Systems lacking self-organization
..................... 22
3.3.1
External control
.......................... 22
3.3.2
Blueprints and templates
...................... 22
3.4
Self
-Х
capabilities
............................. 23
3.5
Consequences of emergent properties
................... 24
3.6
Operating self-organizing systems
..................... 26
3.6.1
Asimov s Laws of Robotics
.................... 26
3.6.2
Attractors
.............................. 28
3.7
Limitations of self-organization
...................... 30
4
Natural
Self-Organization
33
4.1
Development of understandings
...................... 33
4.2
Examples in natural sciences
........................ 34
4.2.1
Biology
............................... 35
4.2.2
Chemistry
............................. 36
4.3
Differentiation self-organization and bio-inspired
............. 37
4.3.1
Exploring bio-inspired
....................... 37
4.3.2
Bio-inspired techniques
...................... 38
4.3.3
Self-organization vs bio-inspired
.................. 40
5
Self-Organization in Technical Systems
41
5.1
General applicability
............................ 41
5.1.1
Autonomous systems
........................ 41
5.1.2
Multi-robot systems
........................ 42
5.1.3
Autonomie
networking
....................... 43
5.1.4
Mobile Ad Hoc Networks
..................... 44
5.1.5
Sensor and Actor Networks
.................... 45
5.2
Operating Sensor and Actor Networks
................... 46
6
Methods and Techniques
49
6.1
Basic methods
............................... 49
6.1.1
Positive and negative feedback
.................. 50
6.1.2
Interactions among individuals and with the environment
..... 52
6.1.3
Probabilistic techniques
...................... 53
6.2
Design paradigms for self-organization
.................. 54
6.2.1
Design process
........................... 54
6.2.2
Discussion of the design paradigms
................ 55
6.3
Developing nature-inspired self-organizing systems
............ 57
6.4
Modeling self-organizing systems
..................... 58
6.4.1
Overview of modeling techniques
................. 58
6.4.2
Differential equation models
.................... 59
6.4.3
Monte Carlo simulations
...................... 60
6.4.4
Choosing the right modeling technique
.............. 60
Appendix I Self-Organization
-
Further Reading
61
II Networking Aspects: Ad Hoc and Sensor Networks
65
7
Mobile Ad Hoc and Sensor Networks
67
7.1
Ad hoc networks
.............................. 67
7.1.1
Basic properties of ad hoc networks
................ 68
7.1.2
Mobile Ad Hoc Networks
..................... 70
7.2
Wireless Sensor Networks
......................... 73
7.2.1
Basic properties of sensor networks
................ 73
7.2.2
Composition of single-sensor nodes
................ 76
7.2.3
Communication in sensor networks
................ 79
7.2.4
Energy
aspects
........................... 83
7.2.5
Coverage and deployment
..................... 83
7.2.6
Comparison between MANETs and WSNs
............ 85
7.2.7
Application examples
....................... 86
7.3
Challenges and research issues
....................... 90
7.3.1
Required functionality and constraints
............... 90
7.3.2
Research objectives
........................ 92
8
Self-Organization in Sensor Networks
95
8.1
Properties and objectives
.......................... 95
8.2
Categorization in two dimensions
..................... 97
8.2.1
Horizontal dimension
....................... 97
8.2.2
Vertical dimension
......................... 99
8.3
Methods and application examples
..................... 101
8.3.1
Mapping with primary self-organization methods
......... 101
8.3.2
Global state
............................. 103
8.3.3
Location information
........................ 104
8.3.4
Neighborhood information
..................... 105
8.3.5
Local state
............................. 106
8.3.6
Probabilistic techniques
...................... 107
9
Medium Access Control
109
9.1
Contention-based protocols
......................... 110
9.2
Sensor MAC
................................ 113
9.2.1
Synchronized listen/sleep cycles
.................. 114
9.2.2
Performance aspects
........................ 116
9.2.3
Performance evaluation
...................... 118
9.3
Power-Control MAC protocol
....................... 119
9.4
Conclusion
................................. 122
10
Ad Hoc Routing
123
10.1
Overview and categorization
........................ 125
10.1.1
Address-based routing vs data-centric forwarding
......... 125
10.1.2
Classification of ad hoc routing protocols
............. 127
10.2
Principles of ad hoc routing protocols
................... 131
10.2.1
Destination Sequenced Distance Vector
.............. 131
10.2.2
Dynamic Source Routing
..................... 132
10.2.3
Ad Hoc on Demand Distance Vector
............... 134
10.2.4
Dynamic MANET on Demand
................... 138
10.3
Optimized route stability
.......................... 141
10.4
Dynamic address assignment
........................ 143
10.4.1
Overview and centralized assignment
............... 144
10.4.2
Passive Duplicate Address Detection
............... 145
10.4.3
Dynamic Address Allocation
.................... 146
10.5
Conclusion
................................. 149
11
Data-Centric Networking
153
11.1
Overview and classification
........................ 155
11.1.1
Data dissemination
......................... 156
11.1.2
Network-centric operation
..................... 158
11.1.3
Related approaches
......................... 159
11.2
Flooding, gossiping and optimizations
................... 159
11.2.1
Flooding
.............................. 160
11.2.2
Pure gossiping
........................... 163
11.2.3
Optimized gossiping
........................ 165
11.3
Agent-based techniques
.......................... 170
11.4
Directed diffusion
............................. 173
11.4.1
Basic algorithm
........................... 173
11.4.2
Mobility support
.......................... 176
11.4.3
Energy efficiency
.......................... 177
11.5
Data aggregation
.............................. 178
11.5.1
Principles and objectives
...................... 179
11.5.2
Aggregation topologies
....................... 181
11.6
Conclusion
................................. 184
12
Clustering
185
12.1
Principles of clustering
........................... 186
12.1.1
Requirements and classification
.................. 187
12.1.2
fc-means
.............................. 189
12.1.3
Hierarchical clustering
....................... 190
12.2
Clustering for efficient routing
....................... 191
12.2.1
Low-Energy Adaptive Clustering Hierarchy
............ 192
12.2.2
Hybrid Energy-Efficient Distributed Clustering Approach
..... 195
12.3
Conclusion
................................. 196
Appendix II Networking Aspects
-
Further Reading
199
III Coordination and Control: Sensor and Actor Networks
203
13
Sensor and Actor Networks
205
13.1
Introduction
................................. 205
13.1.1
Composition of SANETs
-
an example
.............. 206
13.1.2
Properties and capabilities
..................... 207
13.1.3
Components of SANET nodes
................... 210
13.1.4
Application examples
....................... 212
13.2
Challenges and research objectives
..................... 214
13.2.1
Communication and coordination
................. 215
13.2.2
Collaboration and task allocation
................. 216
13.3
Limitations
................................. 217
14
Communication and Coordination
219
14.1
Synchronization vs coordination
...................... 220
14.1.1 Problem
statement
......................... 220
14.1.2
Logical time
............................ 222
14.1.3
Coordination
............................ 223
14.2
Time synchronization in WSNs and SANETs
............... 223
14.2.1
Requirements and objectives
.................... 224
14.2.2
Conventional approaches
...................... 225
14.2.3
Algorithms for WSNs
....................... 228
14.3
Distributed coordination
.......................... 231
14.3.1
Scalable coordination
....................... 231
14.3.2
Selected algorithms
......................... 232
14.3.3
Integrated sensor-actor and actor-actor coordination
....... 235
14.3.4
Problems with selfish nodes
.................... 237
14.4
In-network operation and control
...................... 238
14.5
Conclusion
................................. 244
15
Collaboration and Task Allocation
247
15.1
Introduction to MRTA
........................... 248
15.1.1
Primary objectives
......................... 250
15.1.2
Classification and taxonomy
.................... 252
15.2
Intentional cooperation
-
auction-based task allocation
.......... 255
15.2.1
Open Agent Architecture
...................... 255
15.2.2
Murdoch
............................. 257
15.2.3
Dynamic negotiation algorithm
.................. 258
15.3
Emergent cooperation
........................... 262
15.3.1
Stimulation by work
........................ 263
15.3.2
Stimulation by state
........................ 264
15.4
Conclusion
................................. 267
Appendix III Coordination and Control
-
Further Reading
269
IV Self-Organization Methods in Sensor and Actor Networks
273
16
Self-Organization Methods
-
Revisited
275
16.1
Self-organization methods in SANETs
................... 277
16.2
Positive and negative feedback
....................... 278
16.3
Interactions among individuals and with the environment
......... 282
16.4
Probabilistic techniques
.......................... 286
17
Evaluation Criteria
291
17.1
Scalability
................................. 292
17.2
Energy considerations
........................... 293
17.2.1
Energy management
........................ 293
17.2.2
Transmission power management
................. 294
17.3
Network lifetime
.............................. 295
17.3.1
Definition of network lifetime
.................. 295
17.3.2
Scenario-based comparisons of network lifetime
......... 300
xii CONTENTS
V Bio-inspired Networking
303
18
Bio-inspired Systems
305
18.1
Introduction and overview
......................... 306
18.1.1
Ideas and concepts
......................... 306
18.1.2
Bio-inspired research fields
.................... 308
18.2
Swarm Intelligence
............................. 312
18.2.1
Principles of ant foraging
..................... 312
18.2.2
Ant-based routing
......................... 315
18.2.3
Ant-based task allocation
..................... 316
18.3
Artificial Immune System
......................... 318
18.3.1
Principles of the immune system
................. 318
18.3.2
Application examples
....................... 322
18.4
Cellular signaling pathways
........................ 323
18.4.1
Introduction to signaling pathways
................. 323
18.4.2
Applicability in SANETs
..................... 327
18.5
Conclusion
................................. 329
Appendix IV Bio-inspired Networking
-
Further Reading
331
Bibliography
335
Index
355
|
| adam_txt |
Contents
Foreword
xiii
Preface
xv
About the Author
xix
List of Abbreviations
xxi
Self-Organization
1
Introduction to Self-Organization
3
1.1
Understanding self-organization
. 4
1.2
Application scenarios for self-organization
. 5
System Management and Control
-
A Historical Overview
7
2.1
System architecture
. 8
2.2
Management and control
. 10
2.2.1
Centralized control
. 10
2.2.2
Distributed systems
. 11
2.2.3
Self-organizing systems
. 14
Self-Organization
-
Context and Capabilities
17
3.1
Complex systems
. 17
3.2
Self-organization and emergence
. 19
3.3
Systems lacking self-organization
. 22
3.3.1
External control
. 22
3.3.2
Blueprints and templates
. 22
3.4
Self
-Х
capabilities
. 23
3.5
Consequences of emergent properties
. 24
3.6
Operating self-organizing systems
. 26
3.6.1
Asimov's Laws of Robotics
. 26
3.6.2
Attractors
. 28
3.7
Limitations of self-organization
. 30
4
Natural
Self-Organization
33
4.1
Development of understandings
. 33
4.2
Examples in natural sciences
. 34
4.2.1
Biology
. 35
4.2.2
Chemistry
. 36
4.3
Differentiation self-organization and bio-inspired
. 37
4.3.1
Exploring bio-inspired
. 37
4.3.2
Bio-inspired techniques
. 38
4.3.3
Self-organization vs bio-inspired
. 40
5
Self-Organization in Technical Systems
41
5.1
General applicability
. 41
5.1.1
Autonomous systems
. 41
5.1.2
Multi-robot systems
. 42
5.1.3
Autonomie
networking
. 43
5.1.4
Mobile Ad Hoc Networks
. 44
5.1.5
Sensor and Actor Networks
. 45
5.2
Operating Sensor and Actor Networks
. 46
6
Methods and Techniques
49
6.1
Basic methods
. 49
6.1.1
Positive and negative feedback
. 50
6.1.2
Interactions among individuals and with the environment
. 52
6.1.3
Probabilistic techniques
. 53
6.2
Design paradigms for self-organization
. 54
6.2.1
Design process
. 54
6.2.2
Discussion of the design paradigms
. 55
6.3
Developing nature-inspired self-organizing systems
. 57
6.4
Modeling self-organizing systems
. 58
6.4.1
Overview of modeling techniques
. 58
6.4.2
Differential equation models
. 59
6.4.3
Monte Carlo simulations
. 60
6.4.4
Choosing the right modeling technique
. 60
Appendix I Self-Organization
-
Further Reading
61
II Networking Aspects: Ad Hoc and Sensor Networks
65
7
Mobile Ad Hoc and Sensor Networks
67
7.1
Ad hoc networks
. 67
7.1.1
Basic properties of ad hoc networks
. 68
7.1.2
Mobile Ad Hoc Networks
. 70
7.2
Wireless Sensor Networks
. 73
7.2.1
Basic properties of sensor networks
. 73
7.2.2
Composition of single-sensor nodes
. 76
7.2.3
Communication in sensor networks
. 79
7.2.4
Energy
aspects
. 83
7.2.5
Coverage and deployment
. 83
7.2.6
Comparison between MANETs and WSNs
. 85
7.2.7
Application examples
. 86
7.3
Challenges and research issues
. 90
7.3.1
Required functionality and constraints
. 90
7.3.2
Research objectives
. 92
8
Self-Organization in Sensor Networks
95
8.1
Properties and objectives
. 95
8.2
Categorization in two dimensions
. 97
8.2.1
Horizontal dimension
. 97
8.2.2
Vertical dimension
. 99
8.3
Methods and application examples
. 101
8.3.1
Mapping with primary self-organization methods
. 101
8.3.2
Global state
. 103
8.3.3
Location information
. 104
8.3.4
Neighborhood information
. 105
8.3.5
Local state
. 106
8.3.6
Probabilistic techniques
. 107
9
Medium Access Control
109
9.1
Contention-based protocols
. 110
9.2
Sensor MAC
. 113
9.2.1
Synchronized listen/sleep cycles
. 114
9.2.2
Performance aspects
. 116
9.2.3
Performance evaluation
. 118
9.3
Power-Control MAC protocol
. 119
9.4
Conclusion
. 122
10
Ad Hoc Routing
123
10.1
Overview and categorization
. 125
10.1.1
Address-based routing vs data-centric forwarding
. 125
10.1.2
Classification of ad hoc routing protocols
. 127
10.2
Principles of ad hoc routing protocols
. 131
10.2.1
Destination Sequenced Distance Vector
. 131
10.2.2
Dynamic Source Routing
. 132
10.2.3
Ad Hoc on Demand Distance Vector
. 134
10.2.4
Dynamic MANET on Demand
. 138
10.3
Optimized route stability
. 141
10.4
Dynamic address assignment
. 143
10.4.1
Overview and centralized assignment
. 144
10.4.2
Passive Duplicate Address Detection
. 145
10.4.3
Dynamic Address Allocation
. 146
10.5
Conclusion
. 149
11
Data-Centric Networking
153
11.1
Overview and classification
. 155
11.1.1
Data dissemination
. 156
11.1.2
Network-centric operation
. 158
11.1.3
Related approaches
. 159
11.2
Flooding, gossiping and optimizations
. 159
11.2.1
Flooding
. 160
11.2.2
Pure gossiping
. 163
11.2.3
Optimized gossiping
. 165
11.3
Agent-based techniques
. 170
11.4
Directed diffusion
. 173
11.4.1
Basic algorithm
. 173
11.4.2
Mobility support
. 176
11.4.3
Energy efficiency
. 177
11.5
Data aggregation
. 178
11.5.1
Principles and objectives
. 179
11.5.2
Aggregation topologies
. 181
11.6
Conclusion
. 184
12
Clustering
185
12.1
Principles of clustering
. 186
12.1.1
Requirements and classification
. 187
12.1.2
fc-means
. 189
12.1.3
Hierarchical clustering
. 190
12.2
Clustering for efficient routing
. 191
12.2.1
Low-Energy Adaptive Clustering Hierarchy
. 192
12.2.2
Hybrid Energy-Efficient Distributed Clustering Approach
. 195
12.3
Conclusion
. 196
Appendix II Networking Aspects
-
Further Reading
199
III Coordination and Control: Sensor and Actor Networks
203
13
Sensor and Actor Networks
205
13.1
Introduction
. 205
13.1.1
Composition of SANETs
-
an example
. 206
13.1.2
Properties and capabilities
. 207
13.1.3
Components of SANET nodes
. 210
13.1.4
Application examples
. 212
13.2
Challenges and research objectives
. 214
13.2.1
Communication and coordination
. 215
13.2.2
Collaboration and task allocation
. 216
13.3
Limitations
. 217
14
Communication and Coordination
219
14.1
Synchronization vs coordination
. 220
14.1.1 Problem
statement
. 220
14.1.2
Logical time
. 222
14.1.3
Coordination
. 223
14.2
Time synchronization in WSNs and SANETs
. 223
14.2.1
Requirements and objectives
. 224
14.2.2
Conventional approaches
. 225
14.2.3
Algorithms for WSNs
. 228
14.3
Distributed coordination
. 231
14.3.1
Scalable coordination
. 231
14.3.2
Selected algorithms
. 232
14.3.3
Integrated sensor-actor and actor-actor coordination
. 235
14.3.4
Problems with selfish nodes
. 237
14.4
In-network operation and control
. 238
14.5
Conclusion
. 244
15
Collaboration and Task Allocation
247
15.1
Introduction to MRTA
. 248
15.1.1
Primary objectives
. 250
15.1.2
Classification and taxonomy
. 252
15.2
Intentional cooperation
-
auction-based task allocation
. 255
15.2.1
Open Agent Architecture
. 255
15.2.2
Murdoch
. 257
15.2.3
Dynamic negotiation algorithm
. 258
15.3
Emergent cooperation
. 262
15.3.1
Stimulation by work
. 263
15.3.2
Stimulation by state
. 264
15.4
Conclusion
. 267
Appendix III Coordination and Control
-
Further Reading
269
IV Self-Organization Methods in Sensor and Actor Networks
273
16
Self-Organization Methods
-
Revisited
275
16.1
Self-organization methods in SANETs
. 277
16.2
Positive and negative feedback
. 278
16.3
Interactions among individuals and with the environment
. 282
16.4
Probabilistic techniques
. 286
17
Evaluation Criteria
291
17.1
Scalability
. 292
17.2
Energy considerations
. 293
17.2.1
Energy management
. 293
17.2.2
Transmission power management
. 294
17.3
Network lifetime
. 295
17.3.1
Definition of'network lifetime'
. 295
17.3.2
Scenario-based comparisons of network lifetime
. 300
xii CONTENTS
V Bio-inspired Networking
303
18
Bio-inspired Systems
305
18.1
Introduction and overview
. 306
18.1.1
Ideas and concepts
. 306
18.1.2
Bio-inspired research fields
. 308
18.2
Swarm Intelligence
. 312
18.2.1
Principles of ant foraging
. 312
18.2.2
Ant-based routing
. 315
18.2.3
Ant-based task allocation
. 316
18.3
Artificial Immune System
. 318
18.3.1
Principles of the immune system
. 318
18.3.2
Application examples
. 322
18.4
Cellular signaling pathways
. 323
18.4.1
Introduction to signaling pathways
. 323
18.4.2
Applicability in SANETs
. 327
18.5
Conclusion
. 329
Appendix IV Bio-inspired Networking
-
Further Reading
331
Bibliography
335
Index
355 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Dressler, Falko 1971- |
| author_GND | (DE-588)128408723 |
| author_facet | Dressler, Falko 1971- |
| author_role | aut |
| author_sort | Dressler, Falko 1971- |
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| callnumber-raw | TK7872.D48 |
| callnumber-search | TK7872.D48 |
| callnumber-sort | TK 47872 D48 |
| callnumber-subject | TK - Electrical and Nuclear Engineering |
| classification_rvk | ST 200 ZQ 3030 |
| ctrlnum | (OCoLC)155756815 (DE-599)BVBBV023281491 |
| dewey-full | 681/.2 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 681 - Precision instruments and other devices |
| dewey-raw | 681/.2 |
| dewey-search | 681/.2 |
| dewey-sort | 3681 12 |
| dewey-tens | 680 - Manufacture of products for specific uses |
| discipline | Handwerk und Gewerbe / Verschiedene Technologien Informatik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| discipline_str_mv | Handwerk und Gewerbe / Verschiedene Technologien Informatik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| format | Book |
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| id | DE-604.BV023281491 |
| illustrated | Illustrated |
| index_date | 2024-07-02T20:39:54Z |
| indexdate | 2024-07-09T21:14:52Z |
| institution | BVB |
| isbn | 0470028203 9780470028209 |
| language | English |
| lccn | 2007028888 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016466287 |
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| physical | XXIV, 362 S. graph. Darst. |
| publishDate | 2007 |
| publishDateSearch | 2007 |
| publishDateSort | 2007 |
| publisher | Wiley |
| record_format | marc |
| series2 | Wiley series in communications networking & distributed systems |
| spelling | Dressler, Falko 1971- Verfasser (DE-588)128408723 aut Self-organization in sensor and actor networks Falko Dressler Chichester Wiley 2007 XXIV, 362 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Wiley series in communications networking & distributed systems Réseaux ad hoc (informatique) ram Réseaux locaux sans fil ram Systèmes auto-organisés ram Datenverarbeitung Biologically-inspired computing Computer networks Management Data processing Self-organizing systems Sensor networks Regelung (DE-588)4048971-1 gnd rswk-swf Aktor (DE-588)4198914-4 gnd rswk-swf Selbstorganisation (DE-588)4126830-1 gnd rswk-swf Selbst organisierendes System (DE-588)4054424-2 gnd rswk-swf Sensorsystem (DE-588)4307964-7 gnd rswk-swf Sensorsystem (DE-588)4307964-7 s Selbstorganisation (DE-588)4126830-1 s Aktor (DE-588)4198914-4 s Selbst organisierendes System (DE-588)4054424-2 s Regelung (DE-588)4048971-1 s 1\p DE-604 Digitalisierung UB Passau application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016466287&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Dressler, Falko 1971- Self-organization in sensor and actor networks Réseaux ad hoc (informatique) ram Réseaux locaux sans fil ram Systèmes auto-organisés ram Datenverarbeitung Biologically-inspired computing Computer networks Management Data processing Self-organizing systems Sensor networks Regelung (DE-588)4048971-1 gnd Aktor (DE-588)4198914-4 gnd Selbstorganisation (DE-588)4126830-1 gnd Selbst organisierendes System (DE-588)4054424-2 gnd Sensorsystem (DE-588)4307964-7 gnd |
| subject_GND | (DE-588)4048971-1 (DE-588)4198914-4 (DE-588)4126830-1 (DE-588)4054424-2 (DE-588)4307964-7 |
| title | Self-organization in sensor and actor networks |
| title_auth | Self-organization in sensor and actor networks |
| title_exact_search | Self-organization in sensor and actor networks |
| title_exact_search_txtP | Self-organization in sensor and actor networks |
| title_full | Self-organization in sensor and actor networks Falko Dressler |
| title_fullStr | Self-organization in sensor and actor networks Falko Dressler |
| title_full_unstemmed | Self-organization in sensor and actor networks Falko Dressler |
| title_short | Self-organization in sensor and actor networks |
| title_sort | self organization in sensor and actor networks |
| topic | Réseaux ad hoc (informatique) ram Réseaux locaux sans fil ram Systèmes auto-organisés ram Datenverarbeitung Biologically-inspired computing Computer networks Management Data processing Self-organizing systems Sensor networks Regelung (DE-588)4048971-1 gnd Aktor (DE-588)4198914-4 gnd Selbstorganisation (DE-588)4126830-1 gnd Selbst organisierendes System (DE-588)4054424-2 gnd Sensorsystem (DE-588)4307964-7 gnd |
| topic_facet | Réseaux ad hoc (informatique) Réseaux locaux sans fil Systèmes auto-organisés Datenverarbeitung Biologically-inspired computing Computer networks Management Data processing Self-organizing systems Sensor networks Regelung Aktor Selbstorganisation Selbst organisierendes System Sensorsystem |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016466287&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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