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9780470061817

Wireless Sensor Networks: Signal Processing and Communications

by ; ; ;
  • ISBN13:

    9780470061817

  • ISBN10:

    0470061812

  • Format: eBook
  • Copyright: 2008-01-01
  • Publisher: WILEY
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Summary

A wireless sensor network (WSN) uses a number of autonomous devices to cooperatively monitor physical or environmental conditions via a wireless network. Since its military beginnings as a means of battlefield surveillance, practical use of this technology has extended to a range of civilian applications including environmental monitoring, natural disaster prediction and relief, health monitoring and fire detection. Technological advancements, coupled with lowering costs, suggest that wireless sensor networks will have a significant impact on 21st century life. The design of wireless sensor networks requires consideration for several disciplines such as distributed signal processing, communications and cross-layer design. Wireless Sensor Networks: Signal Processing and Communications focuses on the theoretical aspects of wireless sensor networks and offers readers signal processing and communication perspectives on the design of large-scale networks. It explains state-of-the-art design theories and techniques to readers and places emphasis on the fundamental properties of large-scale sensor networks. Wireless Sensor Networks: Signal Processing and Communications : Approaches WSNs from a new angle - distributed signal processing, communication algorithms and novel cross-layer design paradigms. Applies ideas and illustrations from classical theory to an emerging field of WSN applications. Presents important analytical tools for use in the design of application-specific WSNs. Wireless Sensor Networks will be of use to signal processing and communications researchers and practitioners in applying classical theory to network design. It identifies research directions for senior undergraduate and graduate students and offers a rich bibliography for further reading and investigation.

Table of Contents

Introduction
Information-theoretic Bounds on Sensor Network Performance
Introduction
Sensor Network Models
The Linear Gaussian Sensor Network
Digital Architectures
Distributed Source Coding
Distributed Channel Coding
End-to-end Performance of Digital Architectures
The Price of Digital Architectures
Bounds on General Architectures
Concluding Remarks and Some Interesting Questions Bibliography
In-Network Information Processing in Wireless Sensor Networks
Introduction
Communication Complexity Model
Computing Functions Over Wireless Networks: Spatial Reuse and Block Computation
Geographical Models of Wireless Communication Networks
Block Computation and Computational Throughput
Symmetric Functionsand Types
The Collocated Network
Subclasses of Symmetric Functions: Type-sensitive and Type-threshold
Results on Maximum Throughput in Collocated Networks
Multi-Hop Networks: The Random Planar Network
Other Acyclic Networks
Wireless Networks with Noisy Communications: Reliable Computation in a Collocated Broadcast Network
The Sum of the Parity of the Measurements
Threshold Functions
Towards an Information Theoretic Formulation
Concluding
Remarks
Bibliography
The Sensing Capacity of Sensor Networks
Introduction
Large-Scale Detection Applications
Sensor Network as an Encoder
Information
Theory
Context
Sensing Capacity of Sensor Networks
Sensor Network Model with Arbitrary Connections
Random Coding and Method of Types
Sensing Capacity Theorem
Illustration of Sensing Capacity Bound
Extensions to other Sensor Network Models
Models with Localized Sensing
Target Models
Discussion and Open Problems
Bibliography
Law of Sensor Network Lifetime and Its Applications
Introduction
Law of Network Lifetime and General Design Principle
Network characteristics and lifetime definition
Law of lifetime
Ageneraldesignprinciplefor lifetimemaximization
Fundamental Performance Limit: A Stochastic Shortest Path Framework
Problemstatement
SSPformulation
Fundamental performance limit on network lifetime
Computing the limiting performance with polynomial complexity in networksize
Distributed Asymptotically Optimal Transmission Scheduling
Dynamicprotocol for lifetimemaximization
Dynamicnature of DPLM
Asymptotic optimality of DPLM
Distributedimplementation
Simulationstudies
ABrief Overview of Network Lifetime Analysis
Conclusion
Bibliography
Detection in Sensor Networks
Centralized Detection
The Classical Decentralized Detection Framework
Asymptotic Regime
Decentralized Detection in Wireless Sensor Networks
Sensor Nodes
Network Architectures
Data Processing
Wireless Sensor Networks
Detection under Capacity Constraint
Wireless Channel Considerations
Correlated Observations
Attenuationand Fading
New Paradigms
Constructive Interference
Message Passing
Cross-Layer Considerations
Energy Savings via Censoringand Sleeping
Extensions and Generalizations
Discussion and Concluding Remarks
Bibliography
Distributed Estimation Under Bandwidth and Energy Constraints
DistributedQ
Table of Contents provided by Publisher. All Rights Reserved.

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