05473nam 2200697Ia 450 991014458540332120200520144314.01-281-13524-097866111352491-61344-497-40-470-06179-00-470-06181-2(CKB)1000000000376931(EBL)326406(SSID)ssj0000272675(PQKBManifestationID)11248249(PQKBTitleCode)TC0000272675(PQKBWorkID)10308926(PQKB)10373652(Au-PeEL)EBL326406(CaPaEBR)ebr10295534(CaONFJC)MIL113524(OCoLC)181344752(MiAaPQ)EBC326406(PPN)19074510X(EXLCZ)99100000000037693120070518d2007 uy 0engur|n|---|||||txtccrWireless sensor networks[electronic resource] signal processing and communications perspectives /edited by Ananthram Swami ... [et al.]Chichester, England ;Hoboken, NJ J. Wileyc20071 online resource (412 p.)Description based upon print version of record.0-470-03557-9 Includes bibliographical references and index.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 Networks3.1 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 Networks3.4 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 Theorem4.2.4 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 Formulation5.3.3 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 Detection6.2 The Classical Decentralized Detection FrameworkA 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 sensSensor networksWireless LANsSignal processingDigital techniquesSensor networks.Wireless LANs.Signal processingDigital techniques.681.2681/.2Swami Ananthram885516MiAaPQMiAaPQMiAaPQBOOK9910144585403321Wireless sensor networks1977296UNINA