Sensor Network Operations

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This excellent title introduces the concept of mission-oriented sensor networks as distributed dynamic systems of interacting sensing devices that are networked to jointly execute complex real-time missions under uncertainity. It provides the latest, yet unpublished results on the main technical and application challenges of mission-oriented sensor networks. The authors of each chapter are research leaders from multiple disciplines who are presenting their latest innovations on the issues. Together, the editors have compiled a comprehensive treatment of the subject that flows smoothly from chapter to chapter. This interdisciplinary approach significantly enhances the science and technology knowledge base and influences the military and civilian applications of this field.

Author Information:

Dr. Shashi Phoha is the Guest Editor of IEEE Transactions in Mobile Computing, Special Issue on Mission-Oriented Sensor Networks. She is the Head of the Information Sciences and Technology Division of ARL and Professor of Electrical and Computer Engineering at Pennsylvania State University. She has led major research programs of multimillion dollars for military sensor networks in industry as well as in academia. In addition to more than a hundred journal articles, she authored or co-authored several books in related areas.

Dr. Thomas La Porta is the Editor of the IEEE Transactions on Mobile Computing. He received his B.S.E.E. and M.S.E.E. degrees from The Cooper Union, New York, NY and his Ph.D. degree in Electrical Engineering from Columbia University, New York, NY. He joined the Computer Science and Engineering Department at Penn State in 2002 as a Full Professor. He is Director of the Networking Research Center at Penn State.

Prior to joining Penn State, Dr. LaPorta was with Bell Laboratories since 1986. He was the Director of the Mobile Networking Research Department Bell Laboratories, Lucent Technologies, where he led various projects in wireless and mobile networking. He is an IEEE Fellow, Bell Labs Fellow, received the Bell Labs Distinguished Technical Staff Award, and an Eta Kappa Nu Outstanding Young Electrical Engineer Award. He has published over 50 technical papers and holds over 20 patents.

Christopher Griffin holds a Masters degree in Mathematics from Penn State and is currently pursuing his Ph.D. there. Mr. Griffin has worked as a research engineer at the Penn State Applied Research Laboratory for the last six years on several DARPA and or Army Research Laboratory sponsored programs, including: the Emergent Surveillance Plexus (ESP) program as a lead engineer; the DARPA sponsored Semantic Information Fusion program under the SensIT initiative, where he co-developed a distributed target tracking system and managed the development of a target classification algorithm using Level 1 sensor fusion techniques; as a co-principal software architect for the DARPA Joint Force Component Controller (JFACC) initiative, an adaptive C2 program aimed at improving Air Force response times; and he was the principal software architect for the Boeing/ARFL Insertion of Embedding Infosphere Technology (IEIST) program. His areas of research expertise are distributed tracking systems, mission oriented control, and system modeling.

Author(s): Cheng Hsu
Series: Integrated Series in Information Systems
Edition: 1
Publisher: Wiley-IEEE Press
Year: 2006

Language: English
Pages: 747

SENSOR NETWORK OPERATIONS......Page 4
CONTENTS......Page 10
PREFACE......Page 16
CONTRIBUTORS......Page 18
I SENSOR NETWORK OPERATIONS OVERVIEW......Page 24
1.1 Introduction......Page 26
1.2 Trends in Sensor Development......Page 27
1.3 Mission-Oriented Sensor Networks: Dynamic Systems Perspective......Page 31
References......Page 33
II SENSOR NETWORK DESIGN AND OPERATIONS......Page 34
2.1 Introduction......Page 36
2.2 SCARE: A Scalable Self-Configuration and Adaptive Reconfiguration Scheme for Dense Sensor Networks......Page 37
2.3 Robust Sensor Positioning in Wireless Ad Hoc Sensor Networks......Page 58
2.4 Trigonometric k Clustering (TKC) for Censored Distance Estimation......Page 74
2.5 Sensing Coverage and Breach Paths in Surveillance Wireless Sensor Networks......Page 91
References......Page 109
3.1 Introduction......Page 114
3.2 Controlled Mobility for Efficient Data Gathering in Sensor Networks with Passively Mobile Nodes......Page 115
3.3 Purposeful Mobility in Tactical Sensor Networks......Page 136
3.4 Formation and Alignment of Distributed Sensing Agents with Double-Integrator Dynamics and Actuator Saturation......Page 149
3.5 Modeling and Enhancing the Data Capacity of Wireless Sensor Networks......Page 180
References......Page 202
4.1 Introduction......Page 208
4.2 SS-TDMA: A Self-Stabilizing Medium Access Control (MAC) for Sensor Networks......Page 209
4.3 Comprehensive Performance Study of IEEE 802.15.4......Page 241
4.4 Providing Energy Efficiency for Wireless Sensor Networks Through Link Adaptation Techniques......Page 260
References......Page 280
5.1 Introduction......Page 286
5.2 Load-Balanced Query Protocols for Wireless Sensor Networks......Page 287
5.3 Energy-Efficient and MAC-Aware Routing for Data Aggregation in Sensor Networks......Page 314
5.4 LESS: Low-Energy Security Solution for Large-scale Sensor Networks Based on Tree-Ripple-Zone Routing Scheme......Page 331
References......Page 352
6.1 Introduction......Page 360
6.2 Adaptive Sensing and Reporting in Energy-Constrained Sensor Networks......Page 361
6.3 Sensor Placement and Lifetime of Wireless Sensor Networks: Theory and Performance Analysis......Page 377
6.4 Algorithms for Maximizing Lifetime of Battery-Powered Wireless Sensor Nodes......Page 390
6.5 Battery Lifetime Estimation and Optimization for Underwater Sensor Networks......Page 420
References......Page 439
7.1 Introduction......Page 444
7.2 Secure Differential Data Aggregation for Wireless Sensor Networks......Page 445
7.3 Energy-Conserving Data Gathering Strategy Based on Trade-off Between Coverage and Data Reporting Latency in Wireless Sensor Networks......Page 465
7.4 Quality-Driven Information Processing and Aggregation in Distributed Sensor Networks......Page 490
7.5 Progressive Approach to Distributed Multiple-Target Detection in Sensor Networks......Page 509
References......Page 527
8.1 Introduction......Page 532
8.2 Energy Cost of Embedded Security for Wireless Sensor Networks......Page 533
8.3 Increasing Authentication and Communication Confidentiality in Wireless Sensor Networks......Page 545
8.4 Efficient Pairwise Authentication Protocols for Sensor and Ad Hoc Networks......Page 558
8.5 Fast and Scalable Key Establishment in Sensor Networks......Page 580
8.6 Weil Pairing-Based Round, Efficient, and Fault-Tolerant Group Key Agreement Protocol for Sensor Networks......Page 594
References......Page 603
III SENSOR NETWORK APPLICATIONS......Page 610
9.1 Introduction......Page 612
9.2 The Problem......Page 613
9.3 Evader-Centric Program......Page 615
9.4 Pursuer-Centric Program......Page 618
9.5 Hybrid Pursuer–Evader Program......Page 619
9.6 Efficient Version of Hybrid Program......Page 622
9.7 Implementation and Simulation Results......Page 623
9.8 Discussion and Related Work......Page 628
References......Page 630
10.1 Introduction......Page 632
10.2 Mobile Robot Simulation Setup......Page 637
10.3 Software Anomalies in Mobile Robotic Networks......Page 638
10.5 Software Anomaly Detection Architecture......Page 639
10.6 Anomaly Detection Mechanisms......Page 641
10.7 Test Bed for Software Anomaly Detection in Mobile Robot Application......Page 642
10.8 Results and Discussion......Page 646
Appendix A......Page 649
Appendix B......Page 650
References......Page 651
11 Multisensor Network-Based Framework for Video Surveillance: Real-Time Superresolution Imaging......Page 654
11.2 Basic Model of Distributed Multisensor Surveillance System......Page 655
11.3 Superresolution Imaging......Page 659
11.4 Optical Flow Computation......Page 661
11.6 Experimental Results......Page 667
11.7 Conclusion......Page 668
References......Page 669
12.1 Introduction......Page 672
12.3 Theoretical Background......Page 674
12.4 Adaptations......Page 677
12.5 Design Considerations......Page 685
12.6 Case Study......Page 686
12.7 Results......Page 689
Appendix......Page 697
References......Page 698
13.1 Introduction......Page 700
13.2 System Description......Page 702
13.3 Experimental Results......Page 708
13.4 Summary and Discussion......Page 709
References......Page 710
14.1 Introduction......Page 712
14.2 Sensor Network Operational Components......Page 713
14.3 Sensor Network Challenge Problem......Page 717
14.4 Integrated Target Surveillance Experiment......Page 718
14.5 Experimental Results and Evaluation......Page 720
14.6 Conclusion......Page 724
References......Page 726
15 Noise-Adaptive Sensor Network for Vehicle Tracking in the Desert......Page 728
15.1 Introduction......Page 729
15.2 Distributed Tracking......Page 731
15.3 Algorithms......Page 733
15.4 Experimental Methods......Page 735
15.5 Results and Discussion......Page 737
References......Page 738
ACKNOWLEDGMENTS......Page 740
INDEX......Page 742
ABOUT THE EDITORS......Page 746