Networking Wireless Sensors

Front Cover
Cambridge University Press, Dec 22, 2005 - Technology & Engineering
Wireless sensor networks promise an unprecedented fine-grained interface between the virtual and physical worlds. They are one of the most rapidly developing information technologies, with applications in a wide range of fields including industrial process control, security and surveillance, environmental sensing, and structural health monitoring. Originally published in 2005, this book provides a detailed and organized survey of the field. It shows how the core challenges of energy efficiency, robustness, and autonomy are addressed in these systems by networking techniques across multiple layers. The topics covered include network deployment, localization, time synchronization, wireless radio characteristics, medium-access, topology control, routing, data-centric techniques, and transport protocols. Ideal for researchers and designers seeking to create algorithms and protocols and engineers implementing integrated solutions, it also contains many exercises and can be used by graduate students taking courses in networks.
 

Contents

Introduction
1
12 Networked wireless sensor devices
2
13 Applications of wireless sensor networks
4
14 Key design challenges
6
15 Organization
9
Network deployment
10
22 Structured versus randomized deployment
11
23 Network topology
12
66 Contentionfree protocols
96
67 Summary
100
Exercises
101
Sleepbased topology control
103
72 Constructing topologies for connectivity
105
73 Constructing topologies for coverage
109
74 Set Kcover algorithms
113
75 Crosslayer issues
114

24 Connectivity in geometric random graphs
14
25 Connectivity using power control
18
26 Coverage metrics
22
27 Mobile deployment
26
28 Summary
27
Exercises
28
Localization
31
32 Key issues
32
33 Localization approaches
34
35 Finegrained node localization using detailed information
39
36 Networkwide localization
43
37 Theoretical analysis of localization techniques
51
38 Summary
53
Exercises
54
Time synchronization
57
42 Key issues
58
43 Traditional approaches
60
44 Finegrained clock synchronization
61
45 Coarsegrained data synchronization
67
46 Summary
68
Wireless characteristics
70
53 Radio energy considerations
77
54 The SINR capture model for interference
78
55 Summary
79
Exercises
80
Mediumaccess and sleep scheduling
82
63 Energy efficiency in MAC protocols
86
64 Asynchronous sleep techniques
87
65 Sleepscheduled techniques
91
76 Summary
116
Energyefficient and robust routing
119
83 Routing with diversity
122
84 Multipath routing
125
85 Lifetimemaximizing energyaware routing techniques
128
86 Geographic routing
130
87 Routing to mobile sinks
133
88 Summary
136
Exercises
137
Datacentric networking
139
92 Datacentric routing
140
93 Datagathering with compression
143
94 Querying
147
95 Datacentric storage and retrieval
156
96 The database perspective on sensor networks
159
97 Summary
162
Exercises
163
Transport reliability and congestion control
165
102 Basic mechanisms and tunable parameters
167
103 Reliability guarantees
168
104 Congestion control
170
105 Realtime scheduling
175
106 Summary
177
Exercises
178
Conclusions
179
112 Further topics
180
References
183
Index
197
Copyright

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Page 196 - Y. Yu. R. Govindan, and D. Estrin. "Geographical and Energy Aware Routing: A Recursive Data Dissemination Protocol for Wireless Sensor Networks," UCLA Computer Science Department Technical Report UCLA/CSD-TR-01-0023, May 2001.
Page 190 - A. Manjeshwar and DP Agrawal, "TEEN: A routing protocol for enhanced efficiency in wireless sensor networks," in IEEE International Parallel Distributed Processing Symposium, 2001.
Page 189 - GPSR: greedy perimeter stateless routing for wireless networks," in Proceedings of the sixth annual international conference on Mobile computing and networking, August 2000.
Page 190 - In Proceedings of the First ACM International Workshop on Wireless Sensor Networks and Applications (WSNA 2002).
Page 194 - S. Slijepcevic and M. Potkonjak. Power efficient organization of wireless sensor networks.
Page i - Ph.D. candidate in the Department of Electrical Engineering - Systems at the University of Southern California, Los Angeles, California, USA.
Page 189 - P. Levis and D. Culler. Mate': A Tiny Virtual Machine for Sensor Networks.