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Node Localization in Wireless Sensor Networks [Pehme köide]

  • Formaat: Paperback / softback, 62 pages, kõrgus x laius: 235x191 mm, kaal: 140 g
  • Sari: Synthesis Lectures on Communications
  • Ilmumisaeg: 19-Dec-2016
  • Kirjastus: Morgan and Claypool Life Sciences
  • ISBN-10: 1627054855
  • ISBN-13: 9781627054850
  • Formaat: Paperback / softback, 62 pages, kõrgus x laius: 235x191 mm, kaal: 140 g
  • Sari: Synthesis Lectures on Communications
  • Ilmumisaeg: 19-Dec-2016
  • Kirjastus: Morgan and Claypool Life Sciences
  • ISBN-10: 1627054855
  • ISBN-13: 9781627054850
In sensor network applications, measured data are often meaningful only when the location is accurately known. In this booklet, we study research problems associated with node localization in wireless sensor networks. We describe sensor network localization problems in terms of a detection and estimation framework and we emphasize specifically a cooperative process where sensors with known locations are used to localize nodes at unknown locations. In this class of problems, even if the location of a node is known, the wireless links and transmission modalities between two nodes may be unknown. In this case, sensor nodes are used to detect the location and estimate pertinent data transmission activities between nodes. In addition to the broader problem of sensor localization, this booklet studies also specific localization measurements such as time of arrival (TOA), received signal strength (RSS), and direction of arrival (DOA). The sequential localization algorithm, which uses a subset of sensor nodes to estimate nearby sensor nodes' locations is discussed in detail. Extensive bibliography is given for those readers who want to delve further into specific topics.
Preface ix
Acknowledgments xi
1 Introduction
1(6)
1.1 Wireless Sensor Networks
1(1)
1.2 Applications
2(1)
1.3 Localization
3(2)
1.4 Organization
5(2)
2 Introduction to Localization
7(10)
2.1 Classification of Localization Algorithms
7(5)
2.2 ML Estimator for Location
12(1)
2.3 Performance Analysis
12(2)
2.4 Location Detection
14(1)
2.5 Performance Analysis
14(1)
2.6 Location Estimation vs. Detection
14(3)
3 Review of Localization Algorithms
17(6)
3.1 System Model
17(1)
3.2 Nonlinear Least Squares
17(1)
3.3 Linear Least Squares
18(1)
3.4 Projection onto Convex Sets
19(1)
3.5 Projection onto Rings
20(3)
4 Sequential Localization
23(10)
4.1 System Model
23(1)
4.2 Least Squares Solutions
24(1)
4.3 Performance Comparison
24(9)
5 Concluding Remarks and Summary
33(2)
Bibliography 35(14)
Authors' Biographies 49