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Sensor Network Operations

  • ID: 2181349
  • Book
  • 724 Pages
  • John Wiley and Sons Ltd
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Designing and operating sensor networks, featuring leading researchers and the latest, yet unpublished findings

Sensor Network Operations introduces mission–oriented sensor networks as distributed dynamic systems of interacting sensing devices, which function as a network to execute complex real–time missions. Rapidly developing and much in demand, these smart systems offer novel solutions to problems arising in national security, intelligent transportation, industrial production, scientific research, and other arenas.

A comprehensive look at the current state of the science, as well as a useful toolbox for developing specific applications, Sensor Network Operations begins with the requirements presented by real–world tasks, then shows how these translate into operational algorithms and sensor applications. This logical flow points the way towards the design of practical sensor networks for dependable operations.

The coverage is presented in three parts:

  • Part I, Sensor Network Operations Overview discusses the motivation and structure of the book, lays out the background on sensor platforms and mission–oriented sensor networks, and introduces important trends in sensor development
  • Part II, Sensor Network Design and Operations offers many specific algorithms for controlling sensor networks. Specific topics covered include sensor deployment, self–organization, and localization; mobility and navigation; lower–layer protocols; routing; power management; distributed sensing and data gathering; and network security
  • Part III, Sensor Network Applications presents several sensor network applications and illustrates how sensor networks may be used. These include pursuer–evader tracking in sensor networks; embedded soft sensing in mobile robotic networks; multi–sensor network–based framework for video surveillance; context–sensing wearable systems; multiple bit stream image transmission over wireless sensor networks; and noise–adaptive networks for vehicle tracking

Sensor Network Operations offers an eminently useful introduction of this exciting, emerging field for students, as well as an essential reference for researchers and other practitioners developing, deploying, and operating sensor networks.

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1 Overview of Mission–Oriented Sensor Networks.

1.1 Introduction.

1.2 Trends in Sensor Development.

1.3 Mission–Oriented Sensor Networks: Dynamic Systems Perspective.



2 Sensor Deployment, Self–Organization, and Localization.

2.1 Introduction.

2.2 SCARE: A Scalable Self–Configuration and Adaptive Reconfiguration Scheme for Dense Sensor Networks.

2.3 Robust Sensor Positioning in Wireless Ad Hoc Sensor Networks.

2.4 Trigonometric k Clustering (TKC) for Censored Distance Estimation.

2.5 Sensing Coverage and Breach Paths in Surveillance Wireless Sensor Networks.


3 Purposeful Mobility and Navigation.

3.1 Introduction.

3.2 Controlled Mobility for Efficient Data Gathering in Sensor Networks with Passively Mobile Nodes.

3.3 Purposeful Mobility in Tactical Sensor Networks.

3.4 Formation and Alignment of Distributed Sensing Agents with Double–Integrator Dynamics and Actuator Saturation.

3.5 Modeling and Enhancing the Data Capacity of Wireless Sensor Networks.


4 Lower Layer Issues MAC, Scheduling, and Transmission.

4.1 Introduction.

4.2 SS–TDMA: A Self–Stabilizing Medium Access Control (MAC) for Sensor Networks.

4.3 Comprehensive Performance Study of IEEE 802.15.4.

4.4 Providing Energy Efficiency for Wireless Sensor Networks Through Link Adaptation Techniques.


5 Network Routing.

5.1 Introduction.

5.2 Load–Balanced Query Protocols for Wireless Sensor Networks.

5.3 Energy–Efficient and MAC–Aware Routing for Data Aggregation in Sensor Networks.

5.4 LESS: Low–Energy Security Solution for Large–scale Sensor Networks Based on Tree–Ripple–Zone Routing Scheme.


6 Power Management.

6.1 Introduction.

6.2 Adaptive Sensing and Reporting in Energy–Constrained Sensor Networks.

6.3 Sensor Placement and Lifetime of Wireless Sensor Networks: Theory and Performance Analysis.

6.4 Algorithms for Maximizing Lifetime of Battery–Powered Wireless Sensor Nodes.

6.5 Battery Lifetime Estimation and Optimization for Underwater Sensor Networks.


7 Distributed Sensing and Data Gathering.

7.1 Introduction.

7.2 Secure Differential Data Aggregation for Wireless Sensor Networks.

7.3 Energy–Conserving Data Gathering Strategy Based on Trade–off Between Coverage and Data Reporting Latency in Wireless Sensor Networks.

7.4 Quality–Driven Information Processing and Aggregation in Distributed Sensor Networks.

7.5 Progressive Approach to Distributed Multiple–Target Detection in Sensor Networks.


8 Network Security.

8.1 Introduction.

8.2 Energy Cost of Embedded Security for Wireless Sensor Networks.

8.3 Increasing Authentication and Communication Confidentiality in Wireless Sensor Networks.

8.4 Efficient Pairwise Authentication Protocols for Sensor and Ad Hoc Networks.

8.5 Fast and Scalable Key Establishment in Sensor Networks.

8.6 Weil Pairing–Based Round, Efficient, and Fault–Tolerant Group Key Agreement Protocol for Sensor Networks.



9 Pursuer Evader Tracking in Sensor Networks.

9.1 Introduction.

9.2 The Problem.

9.3 Evader–Centric Program.

9.4 Pursuer–Centric Program.

9.5 Hybrid Pursuer Evader Program.

9.6 Efficient Version of Hybrid Program.

9.7 Implementation and Simulation Results.

9.8 Discussion and Related Work.


10 Embedded Soft Sensing for Anomaly Detection in Mobile Robotic Networks.

10.1 Introduction.

10.2 Mobile Robot Simulation Setup.

10.3 Software Anomalies in Mobile Robotic Networks.

10.4 Soft Sensor.

10.5 Software Anomaly Detection Architecture.

10.6 Anomaly Detection Mechanisms.

10.7 Test Bed for Software Anomaly Detection in Mobile Robot Application.

10.8 Results and Discussion.

10.9 Conclusions and Future Work.

Appendix A.

Appendix B.


11 Multisensor Network–Based Framework for Video Surveillance: Real–Time Superresolution Imaging.

11.1 Introduction.

11.2 Basic Model of Distributed Multisensor Surveillance System.

11.3 Superresolution Imaging.

11.4 Optical Flow Computation.

11.5 Superresolution Image Reconstruction.

11.6 Experimental Results.

11.7 Conclusion.


12 Using Information Theory to Design Context–Sensing Wearable Systems.

12.1 Introduction.

12.2 Related Work.

12.3 Theoretical Background.

12.4 Adaptations.

12.5 Design Considerations.

12.6 Case Study.

12.7 Results.

12.8 Conclusion.



13 Multiple Bit Stream Image Transmission over Wireless Sensor Networks.

13.1 Introduction.

13.2 System Description.

13.3 Experimental Results.

13.4 Summary and Discussion.


14 Hybrid Sensor Network Test Bed for Reinforced Target Tracking.

14.1 Introduction.

14.2 Sensor Network Operational Components.

14.3 Sensor Network Challenge Problem.

14.4 Integrated Target Surveillance Experiment.

14.5 Experimental Results and Evaluation.

14.6 Conclusion.


15 Noise–Adaptive Sensor Network for Vehicle Tracking in the Desert.

15.1 Introduction.

15.2 Distributed Tracking.

15.3 Algorithms.

15.4 Experimental Methods.

15.5 Results and Discussion.

15.6 Conclusion.





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" a fundamental contribution to WSN literature. I am sure it will occupy a conspicuous spot in the reader′s library." (
Computing Reviews.com, August 17, 2007)

"...a very good monograph [that]...will probably never be removed from your bookshelf once you do." (Computing Reviews.com, November 15, 2006)

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