Wireless sensor and actuator networks: technologies, analysis and design
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Amsterdam [u.a.]
Elsevier Acad. Press
2008
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Literaturverz. S. 334 - 352 |
| Beschreibung: | XXVIII, 362 S. Ill., graph. Darst. |
| ISBN: | 9780123725394 |
Internformat
MARC
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| 020 | |a 9780123725394 |9 978-0-12-372539-4 | ||
| 035 | |a (OCoLC)179800070 | ||
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| 245 | 1 | 0 | |a Wireless sensor and actuator networks |b technologies, analysis and design |c Roberto Verdone ... |
| 264 | 1 | |a Amsterdam [u.a.] |b Elsevier Acad. Press |c 2008 | |
| 300 | |a XXVIII, 362 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Literaturverz. S. 334 - 352 | ||
| 650 | 4 | |a Réseaux de capteurs - Conception et construction | |
| 650 | 4 | |a Réseaux de capteurs - Modèles mathématiques | |
| 650 | 4 | |a Transmission sans fil | |
| 650 | 4 | |a Sensor networks | |
| 650 | 4 | |a Wireless communication systems | |
| 650 | 0 | 7 | |a Drahtloses Sensorsystem |0 (DE-588)4789222-5 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Drahtloses Sensorsystem |0 (DE-588)4789222-5 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Verdone, Roberto |e Sonstige |4 oth | |
| 856 | 4 | 2 | |m Digitalisierung UB Passau |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016483094&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-016483094 | ||
Datensatz im Suchindex
| _version_ | 1804137625633685504 |
|---|---|
| adam_text | Contents
List of figures
χ
List of tables
xviii
Preface
xix
About the authors
xxiv
List of acronyms
xxv
1
Introduction
1
1.1
Introduction
....................................................1
1.2
What is a WSAN?
...............................................1
1.2.1
Single-sink single-hop wireless sensor network (WSN)
............2
1.2.2
Single-sink multi-hop WSN
..................................3
1.2.3
Multi-sink multi-hop WSN
..................................3
1.2.4
The presence of actuators
....................................4
1.2.5
The nodes architecture
.....................................5
1.3
Main features of WSANs
..........................................6
1.4
Practical issues of WSANs related to energy management
................7
1.5
Current and future research on WSANs
..............................9
Part
1
Fundamentals of WSANs Design
13
2
Applications of WSANs
15
2.1
Application areas and scenarios
....................................16
2.1.1
Environmental monitoring
..................................16
2.1.2
Health care
..............................................19
2.1.3
Mood-based services
......................................21
2.1.4
Positioning and animals tracking
.............................24
2.1.5
Entertainment
............................................25
2.1.6
Logistics
................................................26
2.1.7
Transportation
...........................................28
2.1.8
Homes and office
.........................................29
2.1.9
Industrial applications
.....................................30
2.2
Event detection and spatial and time random process estimation
..........32
2.2.1
Environmental monitoring
..................................34
2.2.2
Healthcare
..............................................35
2.2.3
Mood-based services
......................................35
2.2.4
Positioning and animal tracking
..............................35
2.2.5
Entertainment
............................................36
2.2.6
Logistics
................................................36
2.2.7
Transportation
...........................................36
2.2.8
Homes and office
.........................................36
2.2.9
Industrial applications.....................................
37
2.3
The hybrid hierarchical architecture
................................37
2.3.1
Categorization of the application scenarios according to the HHA
... 40
Channel Modelling
44
3.1
Introduction
...................................................44
3.2
Basics of electromagnetic propagation
..............................45
3.2.1
Narrowband channel models
................................46
3.3
Experimental activity aimed at modelling the wireless channel
at 2.4GHz for WSANs
...........................................48
3.3.1
Measurements over the grass
................................49
3.3.2
Measurements over asphalt
.................................51
3.3.3
Measurements on grass
....................................52
3.3.4
Measurements over ground at different heights
..................52
3.3.5
Measurements in a parking lot
...............................53
3.3.6
Measurements in indoor environments
........................56
3.3.7
Conclusions: A narrowband channel model for WSANs
...........58
3.4
Ultrawide bandwidth channel models
...............................59
3.4.1
Path loss
................................................62
3.4.2
Multipath characterization
..................................63
Connectivity and Coverage
65
4.1
Introduction
...................................................65
4.2
Connectivity in wireless ad hoc and sensor networks
...................65
4.3
Link connectivity
...............................................67
4.3.1
Deterministic model: Disk model
............................68
4.3.2
Statistical model: Log-normal shadowing
......................68
4.3.3
Probability of link connection
...............................69
4.4
Single-hop link connectivity in WSNs
...............................69
4.5
Multi-hop link connectivity in WSNs
...............................71
4.5.1
Characterization of the number of connected nodes
..............71
4.5.2
Characterization of the connected nodes positions
...............72
4.6
Characterization of the interference
.................................76
4.6.1
Channel gain characterization
...............................78
4.6.2
Interference power characterization
...........................81
4.7
Network connectivity
............................................84
4.7.1
Elements of graph theory
...................................85
4.7.2
Communication graph and critical transmission range
............86
4.7.3
The giant component
......................................90
4.7.4
Probability of node isolation and connectivity
..................91
4.7.5
Probability of node isolation based on nodes degree
..............98
4.8
Network connectivity for WSANs
.................................101
4.9
Alternate
models for network connectivity
..........................107
4.9.1
An information-theoretic view of connectivity
.................108
4.9.2
Reachability
............................................108
4.9.3
Global connectivity from local constraints
.................... 109
4.10
Coverage vs energy efficiency
....................................
Ill
4.11
Further reading
................................................113
5
Network Lifetime
114
5.1
Definition of node lifetime
.......................................114
5.2
Definitions of network lifetime
...................................115
5.3
Communication protocols and network lifetime: How to choose
.........117
5.4
Some numerical examples
.......................................117
6
Technologies for WSANs
125
6.1
ZigBee technology
.............................................125
6.1.1
Introduction to ZigBee Characteristics: IEEE
802.15.4..........126
6.2
Ultrawide bandwidth technology
..................................135
6.2.1
Introduction
............................................135
6.2.2
Impulse radio UWB
......................................137
6.2.3
Low complexity receivers
.................................141
6.2.4
UWB standards for WSNs: the IEEE 802.15.4a PHY
............142
6.3
Bluetooth technology
...........................................143
6.3.1
Introduction to Bluetooth characteristics
......................143
6.3.2
Bluetooth physical layer performance
........................146
6.4
Comparison among technologies
..................................158
Part
2
Communication protocols, localization and
signal processing techniques for WSANs
161
7
Communication Protocols for
WS
ANs
163
7.1
Introduction
..................................................163
7.2
MAC protocols
................................................163
7.2.1
Scheduled protocols
.....................................164
7.2.2
LEACH protocol
.......................................164
7.2.3
Guo protocol
..........................................166
7.2.4
TRAMA
protocol
.......................................167
7.2.5
Contention-based protocols
...............................168
7.2.6
Zhong protocol
.........................................168
7.2.7
DMAC protocol
........................................169
7.2.8
PAMAS
protocol
.......................................170
7.2.9
SMAC protocol
........................................172
7.3
Routing protocols
..............................................173
7.3.1
Flat routing
............................................174
7.3.2
Flooding and gossiping
..................................174
7.3.3
SPIN protocol
..........................................175
7.3.4
Directed diffusion protocol
...............................176
7.3.5
Rumor routing
.........................................179
7.3.6
Gradient-based routing
...................................180
7.3.7
Hierarchical routing
.....................................180
7.3.8
LEACH protocol
.......................................181
7.3.9
PEGASIS protocol
......................................182
7.3.10
TEEN protocol
.........................................184
7.3.11
MECN protocol
........................................185
7.3.12
SPAN protocol
.........................................185
7.3.13
Location-based routing protocols
..........................186
7.3.14
GAF
protocol
..........................................187
7.3.15
GEAR protocol
........................................188
7.3.16
GeRaF protocol
........................................190
7.3.17
Rugin protocol
.........................................192
Localization and Time Synchronization Techniques for WSANs
194
8.1
Introduction
..................................................194
8.2
Time measurements
............................................195
8.3
Distance measurements (ranging)
.................................196
8.3.1
ToA detection and estimation
...............................201
8.4
Position estimation
.............................................210
8.4.1
Single-hop localization
...................................211
8.4.2
Multihop localization
.....................................217
8.4.3
Range-free localization
...................................221
8.5
Anchor-free localization
.........................................222
8.6
Position tracking
..............................................224
8.7
Time synchronization
...........................................225
8.7.1
Network time synchronization
..............................227
Signal Processing and Data Fusion Techniques for WSANs
231
9.1
Distributed detection
...........................................232
9.1.1
The sensing model
......................................234
9.1.2
Parallel fusion architecture
................................235
9.1.3
Cooperative fusion architecture
............................238
9.1.4
Energy efficiency analysis
................................240
9.1.5
Performance comparison between PFA and
CFA
..............242
9.2
Distributed scalar field estimation
.................................243
9.2.1
Sampling the target process
...............................243
9.2.2
Building the process estimate
.............................246
9.2.3
Mathematical derivation of the estimation error
...............247
9.2.4
The self-organizing distributed WSN
.......................250
9.2.5
Physical connectivity between nodes
........................250
9.2.6
Information routing through a clustered architecture
...........251
9.2.7
Communication protocol
.................................252
9.2.8
Medium access control
..................................254
9.2.9
Energy
budget
.........................................255
9.2.10
Cross-layer design
......................................257
9.3
Compression techniques for WSNs
................................264
9.3.1
Coding by ordering
.....................................264
9.3.2
Pipelined in-network compression
..........................266
9.3.3
Distributed compression
.................................266
9.4
A possible classification of signal processing techniques for WSNs
.......268
9.4.1
Classifying signal processing techniques
.....................268
9.4.2
Scanning the literature
...................................269
9.4.3
International projects on WSNs and signal processing (SP)
for WSNs: some examples
................................274
Part
3
From theory to practice: case studies
277
10
From theory to practice: case studies
279
10.1
The EYES project
...........................................279
10.1.1
EYES hardware description
.............................280
10.1.2
Demo and measure
....................................284
10.2
The ambient network project
...................................289
10.2.1
Ambient network demo
................................290
10.3
Wireless lamp control system
..................................293
10.3.1
Architecture definition
.................................293
10.3.2
Coverage prevision mechanisms
.........................294
10.3.3
Sample results
........................................294
10.4
Experimental multiuser indoor localization platform based on WSN
.... 295
10.4.1
Infrastructure and communication protocol
.................297
10.4.2
Localization algorithms
................................298
10.4.3
The context-aware platform
.............................300
10.4.4
WSN configuration and deployment
.......................302
10.5
A positioning test-bed using UWB devices
........................309
10.5.1
The scenario considered
................................309
10.5.2
Position estimation without priori information
..............312
10.5.3
Positioning with priori information
.......................313
10.6
Development of a multi-hop IEEE
802.15.4
network
................314
10.6.1
Tracking and communication system (TCS) application
scenario: Description and requirements
....................314
10.6.2
TCS application scenario: tests
...........................315
10.6.3
TCS application scenario: mobility test
....................316
10.6.4
TCS application scenario: tests with interference
............320
10.6.5
TCS application scenario: throughput test with multiple hops.
.. . 322
10.6.6
TCS with IEEE
802.15.4:
selection of the transmission modes
... 323
10.6.7
TCS with IEEE
802.15.4:
system design
...................327
Bibliography
334
Index
353
|
| adam_txt |
Contents
List of figures
χ
List of tables
xviii
Preface
xix
About the authors
xxiv
List of acronyms
xxv
1
Introduction
1
1.1
Introduction
.1
1.2
What is a WSAN?
.1
1.2.1
Single-sink single-hop wireless sensor network (WSN)
.2
1.2.2
Single-sink multi-hop WSN
.3
1.2.3
Multi-sink multi-hop WSN
.3
1.2.4
The presence of actuators
.4
1.2.5
The nodes' architecture
.5
1.3
Main features of WSANs
.6
1.4
Practical issues of WSANs related to energy management
.7
1.5
Current and future research on WSANs
.9
Part
1
Fundamentals of WSANs Design
13
2
Applications of WSANs
15
2.1
Application areas and scenarios
.16
2.1.1
Environmental monitoring
.16
2.1.2
Health care
.19
2.1.3
Mood-based services
.21
2.1.4
Positioning and animals tracking
.24
2.1.5
Entertainment
.25
2.1.6
Logistics
.26
2.1.7
Transportation
.28
2.1.8
Homes and office
.29
2.1.9
Industrial applications
.30
2.2
Event detection and spatial and time random process estimation
.32
2.2.1
Environmental monitoring
.34
2.2.2
Healthcare
.35
2.2.3
Mood-based services
.35
2.2.4
Positioning and animal tracking
.35
2.2.5
Entertainment
.36
2.2.6
Logistics
.36
2.2.7
Transportation
.36
2.2.8
Homes and office
.36
2.2.9
Industrial applications.
37
2.3
The hybrid hierarchical architecture
.37
2.3.1
Categorization of the application scenarios according to the HHA
. 40
Channel Modelling
44
3.1
Introduction
.44
3.2
Basics of electromagnetic propagation
.45
3.2.1
Narrowband channel models
.46
3.3
Experimental activity aimed at modelling the wireless channel
at 2.4GHz for WSANs
.48
3.3.1
Measurements over the grass
.49
3.3.2
Measurements over asphalt
.51
3.3.3
Measurements on grass
.52
3.3.4
Measurements over ground at different heights
.52
3.3.5
Measurements in a parking lot
.53
3.3.6
Measurements in indoor environments
.56
3.3.7
Conclusions: A narrowband channel model for WSANs
.58
3.4
Ultrawide bandwidth channel models
.59
3.4.1
Path loss
.62
3.4.2
Multipath characterization
.63
Connectivity and Coverage
65
4.1
Introduction
.65
4.2
Connectivity in wireless ad hoc and sensor networks
.65
4.3
Link connectivity
.67
4.3.1
Deterministic model: Disk model
.68
4.3.2
Statistical model: Log-normal shadowing
.68
4.3.3
Probability of link connection
.69
4.4
Single-hop link connectivity in WSNs
.69
4.5
Multi-hop link connectivity in WSNs
.71
4.5.1
Characterization of the number of connected nodes
.71
4.5.2
Characterization of the connected nodes positions
.72
4.6
Characterization of the interference
.76
4.6.1
Channel gain characterization
.78
4.6.2
Interference power characterization
.81
4.7
Network connectivity
.84
4.7.1
Elements of graph theory
.85
4.7.2
Communication graph and critical transmission range
.86
4.7.3
The giant component
.90
4.7.4
Probability of node isolation and connectivity
.91
4.7.5
Probability of node isolation based on nodes degree
.98
4.8
Network connectivity for WSANs
.101
4.9
Alternate
models for network connectivity
.107
4.9.1
An information-theoretic view of connectivity
.108
4.9.2
Reachability
.108
4.9.3
Global connectivity from local constraints
. 109
4.10
Coverage vs energy efficiency
.
Ill
4.11
Further reading
.113
5
Network Lifetime
114
5.1
Definition of node lifetime
.114
5.2
Definitions of network lifetime
.115
5.3
Communication protocols and network lifetime: How to choose
.117
5.4
Some numerical examples
.117
6
Technologies for WSANs
125
6.1
ZigBee technology
.125
6.1.1
Introduction to ZigBee Characteristics: IEEE
802.15.4.126
6.2
Ultrawide bandwidth technology
.135
6.2.1
Introduction
.135
6.2.2
Impulse radio UWB
.137
6.2.3
Low complexity receivers
.141
6.2.4
UWB standards for WSNs: the IEEE 802.15.4a PHY
.142
6.3
Bluetooth technology
.143
6.3.1
Introduction to Bluetooth characteristics
.143
6.3.2
Bluetooth physical layer performance
.146
6.4
Comparison among technologies
.158
Part
2
Communication protocols, localization and
signal processing techniques for WSANs
161
7
Communication Protocols for
WS
ANs
163
7.1
Introduction
.163
7.2
MAC protocols
.163
7.2.1
Scheduled protocols
.164
7.2.2
LEACH protocol
.164
7.2.3
Guo protocol
.166
7.2.4
TRAMA
protocol
.167
7.2.5
Contention-based protocols
.168
7.2.6
Zhong protocol
.168
7.2.7
DMAC protocol
.169
7.2.8
PAMAS
protocol
.170
7.2.9
SMAC protocol
.172
7.3
Routing protocols
.173
7.3.1
Flat routing
.174
7.3.2
Flooding and gossiping
.174
7.3.3
SPIN protocol
.175
7.3.4
Directed diffusion protocol
.176
7.3.5
Rumor routing
.179
7.3.6
Gradient-based routing
.180
7.3.7
Hierarchical routing
.180
7.3.8
LEACH protocol
.181
7.3.9
PEGASIS protocol
.182
7.3.10
TEEN protocol
.184
7.3.11
MECN protocol
.185
7.3.12
SPAN protocol
.185
7.3.13
Location-based routing protocols
.186
7.3.14
GAF
protocol
.187
7.3.15
GEAR protocol
.188
7.3.16
GeRaF protocol
.190
7.3.17
Rugin protocol
.192
Localization and Time Synchronization Techniques for WSANs
194
8.1
Introduction
.194
8.2
Time measurements
.195
8.3
Distance measurements (ranging)
.196
8.3.1
ToA detection and estimation
.201
8.4
Position estimation
.210
8.4.1
Single-hop localization
.211
8.4.2
Multihop localization
.217
8.4.3
Range-free localization
.221
8.5
Anchor-free localization
.222
8.6
Position tracking
.224
8.7
Time synchronization
.225
8.7.1
Network time synchronization
.227
Signal Processing and Data Fusion Techniques for WSANs
231
9.1
Distributed detection
.232
9.1.1
The sensing model
.234
9.1.2
Parallel fusion architecture
.235
9.1.3
Cooperative fusion architecture
.238
9.1.4
Energy efficiency analysis
.240
9.1.5
Performance comparison between PFA and
CFA
.242
9.2
Distributed scalar field estimation
.243
9.2.1
Sampling the target process
.243
9.2.2
Building the process estimate
.246
9.2.3
Mathematical derivation of the estimation error
.247
9.2.4
The self-organizing distributed WSN
.250
9.2.5
Physical connectivity between nodes
.250
9.2.6
Information routing through a clustered architecture
.251
9.2.7
Communication protocol
.252
9.2.8
Medium access control
.254
9.2.9
Energy
budget
.255
9.2.10
Cross-layer design
.257
9.3
Compression techniques for WSNs
.264
9.3.1
Coding by ordering
.264
9.3.2
Pipelined in-network compression
.266
9.3.3
Distributed compression
.266
9.4
A possible classification of signal processing techniques for WSNs
.268
9.4.1
Classifying signal processing techniques
.268
9.4.2
Scanning the literature
.269
9.4.3
International projects on WSNs and signal processing (SP)
for WSNs: some examples
.274
Part
3
From theory to practice: case studies
277
10
From theory to practice: case studies
279
10.1
The EYES project
.279
10.1.1
EYES hardware description
.280
10.1.2
Demo and measure
.284
10.2
The ambient network project
.289
10.2.1
Ambient network demo
.290
10.3
Wireless lamp control system
.293
10.3.1
Architecture definition
.293
10.3.2
Coverage prevision mechanisms
.294
10.3.3
Sample results
.294
10.4
Experimental multiuser indoor localization platform based on WSN
. 295
10.4.1
Infrastructure and communication protocol
.297
10.4.2
Localization algorithms
.298
10.4.3
The context-aware platform
.300
10.4.4
WSN configuration and deployment
.302
10.5
A positioning test-bed using UWB devices
.309
10.5.1
The scenario considered
.309
10.5.2
Position estimation without priori information
.312
10.5.3
Positioning with priori information
.313
10.6
Development of a multi-hop IEEE
802.15.4
network
.314
10.6.1
Tracking and communication system (TCS) application
scenario: Description and requirements
.314
10.6.2
TCS application scenario: tests
.315
10.6.3
TCS application scenario: mobility test
.316
10.6.4
TCS application scenario: tests with interference
.320
10.6.5
TCS application scenario: throughput test with multiple hops.
. . 322
10.6.6
TCS with IEEE
802.15.4:
selection of the transmission modes
. 323
10.6.7
TCS with IEEE
802.15.4:
system design
.327
Bibliography
334
Index
353 |
| any_adam_object | 1 |
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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 276 ZN 6560 |
| ctrlnum | (OCoLC)179800070 (DE-599)OBVAC06480137 |
| dewey-full | 621.384 |
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| dewey-ones | 621 - Applied physics |
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| discipline | Informatik Elektrotechnik / Elektronik / Nachrichtentechnik |
| discipline_str_mv | Informatik Elektrotechnik / Elektronik / Nachrichtentechnik |
| format | Book |
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| id | DE-604.BV023298604 |
| illustrated | Illustrated |
| index_date | 2024-07-02T20:45:38Z |
| indexdate | 2024-07-09T21:15:16Z |
| institution | BVB |
| isbn | 9780123725394 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016483094 |
| oclc_num | 179800070 |
| open_access_boolean | |
| owner | DE-706 DE-739 DE-83 |
| owner_facet | DE-706 DE-739 DE-83 |
| physical | XXVIII, 362 S. Ill., graph. Darst. |
| publishDate | 2008 |
| publishDateSearch | 2008 |
| publishDateSort | 2008 |
| publisher | Elsevier Acad. Press |
| record_format | marc |
| spelling | Wireless sensor and actuator networks technologies, analysis and design Roberto Verdone ... Amsterdam [u.a.] Elsevier Acad. Press 2008 XXVIII, 362 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Literaturverz. S. 334 - 352 Réseaux de capteurs - Conception et construction Réseaux de capteurs - Modèles mathématiques Transmission sans fil Sensor networks Wireless communication systems Drahtloses Sensorsystem (DE-588)4789222-5 gnd rswk-swf Drahtloses Sensorsystem (DE-588)4789222-5 s DE-604 Verdone, Roberto Sonstige oth Digitalisierung UB Passau application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016483094&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Wireless sensor and actuator networks technologies, analysis and design Réseaux de capteurs - Conception et construction Réseaux de capteurs - Modèles mathématiques Transmission sans fil Sensor networks Wireless communication systems Drahtloses Sensorsystem (DE-588)4789222-5 gnd |
| subject_GND | (DE-588)4789222-5 |
| title | Wireless sensor and actuator networks technologies, analysis and design |
| title_auth | Wireless sensor and actuator networks technologies, analysis and design |
| title_exact_search | Wireless sensor and actuator networks technologies, analysis and design |
| title_exact_search_txtP | Wireless sensor and actuator networks technologies, analysis and design |
| title_full | Wireless sensor and actuator networks technologies, analysis and design Roberto Verdone ... |
| title_fullStr | Wireless sensor and actuator networks technologies, analysis and design Roberto Verdone ... |
| title_full_unstemmed | Wireless sensor and actuator networks technologies, analysis and design Roberto Verdone ... |
| title_short | Wireless sensor and actuator networks |
| title_sort | wireless sensor and actuator networks technologies analysis and design |
| title_sub | technologies, analysis and design |
| topic | Réseaux de capteurs - Conception et construction Réseaux de capteurs - Modèles mathématiques Transmission sans fil Sensor networks Wireless communication systems Drahtloses Sensorsystem (DE-588)4789222-5 gnd |
| topic_facet | Réseaux de capteurs - Conception et construction Réseaux de capteurs - Modèles mathématiques Transmission sans fil Sensor networks Wireless communication systems Drahtloses Sensorsystem |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016483094&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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