Energy-efficient and timely event reporting using wireless sensor networks:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
2013
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| Schlagworte: | |
| Online-Zugang: | Volltext Volltext Inhaltsverzeichnis |
| Beschreibung: | XVI, 234 S. graph. Darst. |
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Datensatz im Suchindex
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| adam_text | Contents
List of
Figures
xi
List of Tables
xv
1
Introduction
1
1.1
WSN-Based Environmental Event Monitoring
.................. 1
1.2
Solution Approach
................................ 3
1.3
Main Contributions
................................ 6
1.4
Thesis Structure
.................................. 8
2
Related Work
9
2.1
Forest-Fire Detection with WSNs
........................ 10
2.2
WSN Communication Protocols for Environmental Event Monitoring
..... 12
2.3
Quantitative Modeling of WSNs Using Retrial Queues
............. 16
2.4
Retrial Queues
.................................. 18
3
Early Forest Fire Detection
21
3.1
Motivational Background
............................. 21
3.2
Causes and Classes of Forest Fires
........................ 22
3.3
Early Forest Fire Detection Methods
....................... 24
3.3.1
Basic Requirements
........................... 24
3.3.2
Human Observer
............................. 25
3.3.3
Technical Solutions
............................ 26
3.3.3.1
Long-Range Detection Using Satellites
............ 27
3.3.3.2
Medium-Range Detection
................... 27
3.3.3.3
Short-Range Detection
.................... 29
3.4
Chapter Summary
................................. 30
4
WSN Protocol Design
31
4.1
Brief Protocol Overview
............................. 31
4.2
Basic Scenario-Specific Assumptions, Estimations, and Design Decisions
... 38
4.2.1
Sensing Range
.............................. 38
4.2.2
Area of Interest
.............................. 38
4.2.3
Number of Nodes and Node Density
................... 38
4.2.4
Random Deployment
........................... 39
4.2.5
Node Size
................................. 40
4.2.6 Transmission Range........................... 40
4.2.7
Number of Neighbors
and Connectivity................. 40
4.2.8
Lifetime
.................................. 41
4.2.9 Detection-to-Notification
Delay
..................... 44
4.2.10 Message Transmission
and Propagation Delay Estimation
....... 44
4.2.11
Lack of RTS/CTS Mechanisms
..................... 45
4.2.12
Node Localization
............................ 45
4.2.13
Memory Constraints
........................... 47
4.2.14
Data Rates
................................ 48
4.2.15
Lack of Unique IDs
............................ 48
4.2.16
Hardware Clock and Lack of Time Synchronization
........... 49
4.2.17
Summary and Scope for Development
.................. 50
4.3
Protocol Details
.................................. 51
4.3.1
Special-Case Protocol Behavior
..................... 51
4.3.1.1
No Next Hop Available
.................... 51
4.3.1.2
Failure of Responsible Node and Loss of EVMs
....... 52
4.3.1.3
NHF not Received
....................... 52
4.3.2
Hop Count-Based Routing
........................ 53
4.3.2.1
Location-Based Routing Methods
............... 53
4.3.2.2
Hop Count Update
....................... 53
4.3.2.3
Number of Next-Hop Neighbors of an Arbitrary Node
. ... 55
43.2
A Number of Next-Hop Neighbors of an EVM-Relaying Node
. 57
4.3.2.5
Protocol Improvement
..................... 59
4.3.2.6
Discussion
........................... 65
4.3.3
Back-Off Delay Calculation
....................... 65
4.3.4
Network Management
.......................... 67
4.3.4.1
Hop Count-Based Localization
................ 67
4.3.4.2
Reporting Threshold Update
................. 69
4.3.4.3
Coverage Monitoring
..................... 69
4.3.5
Neighborhood, Grid, and Location Ranges
............... 70
4.3.5.1
Hop Count-Based Field Neighborhood
............ 70
4.3.5.2
Regular Hexagonal Grid
.................... 72
4.3.5.3
Grid-Based Location Ranges
................. 75
4.3.6
Message Format
............................. 75
4.3.6.1
DATA Field of EVMs and NHFs
............... 78
4.3.6.2
DATA Field of SMSGs
.................... 79
4.3.7
Message Merging
............................. 79
4.3.8
Capacity of EVM Pools
......................... 81
4.4
Chapter Summary
................................. 82
4.4.1
Qualitative Evaluation
.......................... 82
4.4.1.1
Qualitative Evaluation Based on Design Principles
...... 82
4.4.1.2
Comparison to XLP
...................... 84
4.4.2
Open Research Issues
.......................... 84
5 Quantitative
Protocol
Evaluation 87
5.1 Model
Planning
.................................. 87
5.1.1
Aspired
Quantitative
Results
....................... 87
5.1.2 General
Abstractions
........................... 89
5.2
Single-Hop Model: Retrial Queue Representation
................ 90
5.2.1
Estimating the Number of Sources
.................... 93
5.2.2
Estimating the System Capacity and Orbit Size
............. 95
5.2.3
Estimating the Number of Servers
.................... 96
5.2.4
Estimating the Generation Rate
..................... 96
5.2.5
Estimating the Retrial Rate
........................ 97
5.2.6
Estimating the Service Rate
....................... 97
5.2.7
Estimating the Repair Rate and Failure Rate
............... 97
5.2.8
Parameter Summary
........................... 99
5.3
Single-Hop Model: Mean Steady-State Performance Measures
......... 100
5.3.1
GSPN Representation of the Single-Hop Model
............. 100
5.3.2
Underlying Irreducible Markov Chain
.................. 101
5.3.3
Steady-State Performance Measures
................... 102
5.3.3.1
State Probabilities as Seen by an Outside Observer
...... 102
5.3.3.2
Derivation of Basic Performance Measures
.......... 103
5.3.3.3
State Probabilities as Seen by a Generated Job
........ 105
5.3.3.4
Derivation of Further Performance Measures
......... 106
5.3.4
Implementation and Verification
..................... 107
5.4
Single-Hop Model: Derivation of Waiting Time Distribution Using Method of
Phases
....................................... 109
5.4.1
Underlying Reducible Markov Chain
..................
Ill
5.4.2
Orbit Time Distribution of Tagged Job
.................. 114
5.4.3
Implementation and Verification
..................... 115
5.4.3.1
Implementation
........................ 115
5.4.3.2
Verification
.......................... 118
5.5
Single-Hop Model: Derivation of Waiting Time Distribution Using Gamma
Approximation
.................................. 120
5.5.1
Selecting Candidate Distributions
.................... 120
5.5.2
Approximating the Parameters of Gamma-Distributed Waiting Time
. . 123
5.6
Single-Hop Model: Summary
........................... 130
5.6.1
Comparison of Approaches
........................ 130
5.6.2
Distribution of the Single-Hop Response Time
............. 132
5.7
Multi-Hop Model
................................. 132
5.7.1
Distribution of Number of Communication Hops
............ 132
5.7.2
Distribution of Detection-to-Notification Delay
............. 135
5.8
Numerical Results and Discussion
........................ 136
5.8.1
Scenario
1:
Original Model
....................... 137
5.8.2
Scenario
2:
Increasing the Number of Sinks
............... 138
5.8.3
Scenario
3:
Increasing the Retrial Rate
................. 140
5.8.4
Scenario
4:
Varying the Service Rate
.................. 141
5.8.5
Scenarios: Varying the Wake-Up Rate
................. 142
5.8.6
Scenario
6:
Altering the Active/Sleep Ratio
............... 143
5.8.7
Scenario
7:
Increasing the Traffic Load
................. 144
5.8.8
Scenario
8:
Varying the Node Density
.................. 145
5.8.9
Scenario
9:
Varying the Transmission Range
.............. 146
5.9
Chapter Summary
................................. 148
6
Conclusion
149
6.1
Summary of Protocol Design, Evaluation, and Results
.............. 149
6.2
Towards Implementation and Validation
..................... 152
6.3
Implications on Research Landscape
....................... 155
A Abbreviations and Mathematical Notation
157
A.I Abbreviations
................................... 157
A.2 Notation
...................................... 160
A.2.1 General Notation
............................. 160
A.2.2 Additional Symbols and Operators
.................... 161
A.2.3 Units
................................... 162
A.2.4 List of Main Variables and Parameters
.................. 162
В
Elaborated Investigations and Derivations
169
B.I Related Protocols
................................. 169
B.2 Single-Hop Model: Reducible CTMC of Tagged Customer
........... 173
B.3 Estimation of Volumetric Storage Density
.................... 182
B.3.1 Integrated Circuit Thickness
....................... 182
B.3.2 Volumetric Storage Density of SRAM
.................. 182
B.3.3 Volumetric Storage Density of Flash Memory
.............. 182
B.4 Coordinate Transformation between Physical and Grid Coordinates
...... 182
B.4.1 Transformation of Grid Coordinates to Physical Coordinates
...... 183
B.4.
2
Transformation of Physical Coordinates to Grid Coordinates
...... 184
B.5 Impact of Group Failure
............................. 186
B.6
CPN
Tools Precision of Time Values
...................... 188
B.7
CPN
Tools Model of Finite-Source Retrial Queue with Unreliable Servers
... 191
B.8 The Expected Value of a Rounded Exponentially Distributed Random Variable
192
B.9 Distribution of Single-Hop Mean Response Time
................ 193
B.
10
Discussing the Use of Convolution to Calculate the Multi-Hop Delay Distribution
196
B.ll Calculation of the Mean Outer-Ring Segment Size
................ 197
Bibliography
199
|
| any_adam_object | 1 |
| author | Wüchner, Patrick |
| author_facet | Wüchner, Patrick |
| author_role | aut |
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| ctrlnum | (OCoLC)873525988 (DE-599)BVBBV041698878 |
| discipline | Informatik |
| format | Thesis Book |
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| publishDateSort | 2013 |
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| spelling | Wüchner, Patrick Verfasser aut Energy-efficient and timely event reporting using wireless sensor networks Patrick Wüchner 2013 XVI, 234 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Passau, Univ., Diss., 2014 Kommunikationstechnik (DE-588)4031888-6 gnd rswk-swf Protokoll Datenverarbeitungssystem (DE-588)4343364-9 gnd rswk-swf Markov-Kette (DE-588)4037612-6 gnd rswk-swf Elektronische Medien (DE-588)4151918-8 gnd rswk-swf Netzwerk (DE-588)4171529-9 gnd rswk-swf Drahtloses Sensorsystem (DE-588)4789222-5 gnd rswk-swf Kommunikationsprotokoll (DE-588)4128252-8 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Drahtloses Sensorsystem (DE-588)4789222-5 s Netzwerk (DE-588)4171529-9 s Kommunikationstechnik (DE-588)4031888-6 s Elektronische Medien (DE-588)4151918-8 s Protokoll Datenverarbeitungssystem (DE-588)4343364-9 s Kommunikationsprotokoll (DE-588)4128252-8 s Markov-Kette (DE-588)4037612-6 s DE-604 Erscheint auch als Online-Ausgabe urn:nbn:de:bvb:739-opus-27159 http://www.opus-bayern.de/uni-passau/volltexte/2014/2715 kostenfrei Volltext https://nbn-resolving.org/urn:nbn:de:bvb:739-opus-27159 Resolving-System Volltext Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027139242&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Wüchner, Patrick Energy-efficient and timely event reporting using wireless sensor networks Kommunikationstechnik (DE-588)4031888-6 gnd Protokoll Datenverarbeitungssystem (DE-588)4343364-9 gnd Markov-Kette (DE-588)4037612-6 gnd Elektronische Medien (DE-588)4151918-8 gnd Netzwerk (DE-588)4171529-9 gnd Drahtloses Sensorsystem (DE-588)4789222-5 gnd Kommunikationsprotokoll (DE-588)4128252-8 gnd |
| subject_GND | (DE-588)4031888-6 (DE-588)4343364-9 (DE-588)4037612-6 (DE-588)4151918-8 (DE-588)4171529-9 (DE-588)4789222-5 (DE-588)4128252-8 (DE-588)4113937-9 |
| title | Energy-efficient and timely event reporting using wireless sensor networks |
| title_auth | Energy-efficient and timely event reporting using wireless sensor networks |
| title_exact_search | Energy-efficient and timely event reporting using wireless sensor networks |
| title_full | Energy-efficient and timely event reporting using wireless sensor networks Patrick Wüchner |
| title_fullStr | Energy-efficient and timely event reporting using wireless sensor networks Patrick Wüchner |
| title_full_unstemmed | Energy-efficient and timely event reporting using wireless sensor networks Patrick Wüchner |
| title_short | Energy-efficient and timely event reporting using wireless sensor networks |
| title_sort | energy efficient and timely event reporting using wireless sensor networks |
| topic | Kommunikationstechnik (DE-588)4031888-6 gnd Protokoll Datenverarbeitungssystem (DE-588)4343364-9 gnd Markov-Kette (DE-588)4037612-6 gnd Elektronische Medien (DE-588)4151918-8 gnd Netzwerk (DE-588)4171529-9 gnd Drahtloses Sensorsystem (DE-588)4789222-5 gnd Kommunikationsprotokoll (DE-588)4128252-8 gnd |
| topic_facet | Kommunikationstechnik Protokoll Datenverarbeitungssystem Markov-Kette Elektronische Medien Netzwerk Drahtloses Sensorsystem Kommunikationsprotokoll Hochschulschrift |
| url | http://www.opus-bayern.de/uni-passau/volltexte/2014/2715 https://nbn-resolving.org/urn:nbn:de:bvb:739-opus-27159 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027139242&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT wuchnerpatrick energyefficientandtimelyeventreportingusingwirelesssensornetworks |