LEADER 05470nam 2200697Ia 450 001 9910829105303321 005 20200520144314.0 010 $a1-281-13524-0 010 $a9786611135249 010 $a1-61344-497-4 010 $a0-470-06179-0 010 $a0-470-06181-2 035 $a(CKB)1000000000376931 035 $a(EBL)326406 035 $a(SSID)ssj0000272675 035 $a(PQKBManifestationID)11248249 035 $a(PQKBTitleCode)TC0000272675 035 $a(PQKBWorkID)10308926 035 $a(PQKB)10373652 035 $a(Au-PeEL)EBL326406 035 $a(CaPaEBR)ebr10295534 035 $a(CaONFJC)MIL113524 035 $a(OCoLC)181344752 035 $a(MiAaPQ)EBC326406 035 $a(PPN)19074510X 035 $a(EXLCZ)991000000000376931 100 $a20070518d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aWireless sensor networks$b[electronic resource] $esignal processing and communications perspectives /$fedited by Ananthram Swami ... [et al.] 210 $aChichester, England ;$aHoboken, NJ $cJ. Wiley$dc2007 215 $a1 online resource (412 p.) 300 $aDescription based upon print version of record. 311 $a0-470-03557-9 320 $aIncludes bibliographical references and index. 327 $aWireless 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 327 $a3.1 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 327 $a3.4 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 327 $a4.2.4 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 327 $a5.3.3 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 327 $a6.2 The Classical Decentralized Detection Framework 330 $aA 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 606 $aSensor networks 606 $aWireless LANs 606 $aSignal processing$xDigital techniques 615 0$aSensor networks. 615 0$aWireless LANs. 615 0$aSignal processing$xDigital techniques. 676 $a681.2 676 $a681/.2 701 $aSwami$b Ananthram$01615873 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910829105303321 996 $aWireless sensor networks$93946279 997 $aUNINA