Wireless sensor networks [[electronic resource] ] : signal processing and communications perspectives / / edited by Ananthram Swami ... [et al.]

• Record Nr.: UNINA9910144585403321
• Pubbl/distr/stampa: Chichester, England ; ; Hoboken, NJ, : J. Wiley, c2007
• ISBN: 1-281-13524-0; 9786611135249; 1-61344-497-4; 0-470-06179-0; 0-470-06181-2
• Descrizione fisica: 1 online resource (412 p.)
• Altri autori (Persone): SwamiAnanthram
• Disciplina: 681.2; 681/.2
• Soggetti: Sensor networks; Wireless LANs; Signal processing - Digital techniques
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Wireless Sensor Networks; Contents; List of Contributors; 1 Introduction; Part I Fundamental Properties and Limits; 2 Information-theoretic Bounds on Sensor Network Performance; 2.1 Introduction; 2.2 Sensor Network Models; 2.2.1 The Linear Gaussian Sensor Network; 2.3 Digital Architectures; 2.3.1 Distributed Source Coding; 2.3.2 Distributed Channel Coding; 2.3.3 End-to-end Performance of Digital Architectures; 2.4 The Price of Digital Architectures; 2.5 Bounds on General Architectures; 2.6 Concluding Remarks; Bibliography; 3 In-Network Information Processing in Wireless Sensor Networks; 3.1 Introduction3.2 Communication Complexity Model; 3.3 Computing Functions over Wireless Networks: Spatial Reuse and Block Computation; 3.3.1 Geographical Models of Wireless Communication Networks; 3.3.2 Block Computation and Computational Throughput; 3.3.3 Symmetric Functions and Types; 3.3.4 The Collocated Network; 3.3.5 Subclasses of Symmetric Functions: Type-sensitive and Type-threshold; 3.3.6 Results on Maximum Throughput in Collocated ; Networks; 3.3.7 Multi-Hop Networks: The Random Planar Network; 3.3.8 Other Acyclic Networks; 3.4 Wireless Networks with Noisy Communications: Reliable Computation in a Collocated Broadcast Network3.4.1 The Sum of the Parity of the Measurements; 3.4.2 Threshold Functions; 3.5 Towards an Information Theoretic Formulation; 3.6 Conclusion; Bibliography; 4 The Sensing Capacity of Sensor Networks; 4.1 Introduction; 4.1.1 Large-Scale Detection Applications; 4.1.2 Sensor Network as an Encoder; 4.1.3 Information Theory Context; 4.2 Sensing Capacity of Sensor Networks; 4.2.1 Sensor Network Model with Arbitrary Connections; 4.2.2 Random Coding and Method of Types; 4.2.3 Sensing Capacity Theorem; 4.2.4 Illustration of Sensing Capacity Bound4.3 Extensions to Other Sensor Network Models; 4.3.1 Models with Localized Sensing; 4.3.2 Target Models; 4.4 Conclusion; Bibliography; 5 Law of Sensor Network Lifetime and Its Applications; 5.1 Introduction; 5.2 Law of Network Lifetime and General Design Principle; 5.2.1 Network Characteristics and Lifetime Definition; 5.2.2 Law of Lifetime; 5.2.3 A General Design Principle For Lifetime Maximization; 5.3 Fundamental Performance Limit: A Stochastic Shortest Path Framework; 5.3.1 Problem Statement; 5.3.2 SSP Formulation; 5.3.3 Fundamental Performance Limit on Network Lifetime5.3.4 Computing the Limiting Performance with Polynomial Complexity in Network Size; 5.4 Distributed Asymptotically Optimal Transmission Scheduling; 5.4.1 Dynamic Protocol for Lifetime Maximization; 5.4.2 Dynamic Nature of DPLM; 5.4.3 Asymptotic Optimality of DPLM; 5.4.4 Distributed Implementation; 5.4.5 Simulation Studies; 5.5 A Brief Overview of Network Lifetime Analysis; 5.6 Conclusion; Bibliography; Part II Signal Processing for Sensor Networks; 6 Detection in Sensor Networks; 6.1 Centralized Detection; 6.2 The Classical Decentralized Detection Framework
• Sommario/riassunto: 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 sens