Research Catalog
Synchronization in wireless sensor networks : parameter estimation, performance benchmarks and protocols
- Title
- Synchronization in wireless sensor networks : parameter estimation, performance benchmarks and protocols / Erchin Serpedin and Qasim M. Chaudhari.
- Author
- Serpedin, Erchin, 1967-
- Publication
- Cambridge, UK ; New York : Cambridge University Press, 2009.
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Status | Format | Access | Call Number | Item Location |
---|---|---|---|---|
Text | Use in library | TK7872.D48 S47 2009 | Off-site |
Details
- Additional Authors
- Chaudhari, Qasim M.
- Description
- xii, 232 pages : illustrations; 26 cm
- Summary
- "Wireless sensor networks are set to play a key role in a wide range of civilian and military applications, with tiny sensors connected through wireless links performing various sensing, computing, communication, and control tasks in highly distributed systems. This book presents a critical element in the deployment of wireless sensor networks: the process of synchronization. It summarizes the most important clock synchronization protocols proposed for wireless sensor networks with special emphasis placed on deriving efficient clock offset estimation schemes and performance benchmarks. Graduate students of electrical and computer engineering and computer science will find this a valuable resource, as will engineers who are interested in designing efficient clock synchronization algorithms and improving the performance of existing synchronization protocols."--Publisher's website.
- Subject
- Bibliography (note)
- Includes bibliographical references and index.
- Contents
- 1. Introduction -- 1.1. Wireless Sensor Networks -- 1.2. Time Synchronization -- 1.3. Importance of Time Synchronization -- 1.4. History of Clock Synchronization -- 1.5. Outline -- 2. Signal Models for Time Synchronization -- 2.1. Definition of Clock -- 2.2. Design Considerations -- 2.3. Delay Components in Timing Message Delivery -- 3. Time Synchronization Protocols -- 3.1. Pairwise Synchronization -- 3.1.1. Timing-Sync Protocol for Sensor Networks (TPSN) -- 3.1.2. Tiny-Sync and Mini-Sync -- 3.1.3. Reference Broadcast Synchronization (RBS) -- 3.1.4. Flooding Time Synchronization Protocol (FTSP) -- 3.2. Network-Wide Synchronization -- 3.2.1. Extension of TPSN -- 3.2.2. Lightweight Time Synchronization (LTS) -- 3.2.3. Extension of RBS -- 3.2.4. Extension of FTSP -- 3.2.5. Pairwise Broadcast Synchronization (PBS) -- 3.2.6. Time Diffusion Protocol (TDP) -- 3.2.7. Synchronous and Asynchronous Diffusion Algorithms -- 3.2.8. Protocols Based on Pulse Transmissions -- 3.3. Adaptive Time Synchronization -- 3.3.1. Rate-Adaptive Time Synchronization (RATS) -- 3.3.2. RBS-based Adaptive Clock Synchronization -- 3.3.3. Adaptive Multi-Hop Time Synchronization (AMTS) -- 4. Fundamental Approaches to Time Synchronization -- 4.1. Sender -- Receiver Synchronization (SRS) -- 4.2. Receiver-Only Synchronization (ROS) -- 4.3. Receiver -- Receiver Synchronization (RRS) -- 4.4. Comparisons -- 5. Minimum Variance Unbiased Estimation (MVUE) of Clock Offset -- 5.1. The System Architecture -- 5.2. Best Linear Unbiased Estimation Using Order Statistics (BLUE-OS) -- 5.2.1. Symmetric Link Delays -- 5.2.2. Asymmetric Link Delays -- 5.3. Minimum Variance Unbiased Estimation (MVUE) -- 5.3.1. Asymmetric Link Delays -- 5.3.2. Symmetric Link Delays -- 5.4. Explanatory Remarks -- 6. Clock Offset and Skew Estimation -- 6.1. Gaussian Delay Model -- 6.1.1. Maximum Likelihood (ML) Clock Offset Estimation -- 6.1.2. Cramer -- Rao Lower Bound (CRLB) for Clock Offset -- 6.1.3. Joint Maximum Likelihood Estimation (JMLE) of Clock Offset and Skew -- 6.1.4. Cramer -- Rao Lower Bound (CRLB) for Clock Offset and Skew -- 6.2. Exponential Delay Model -- 6.2.1. Cramer -- Rao Lower Bound (CRLB) for Clock Offset -- 6.2.2. Joint Maximum Likelihood Estimation (JMLE) of Clock Offset and Skew -- 7. Computationally Simplified Schemes for Estimation of Clock Offset and Skew -- 7.1. Using the First and the Last Data Sample -- 7.1.1. Gaussian Delay Model -- 7.1.2. Exponential Delay Model -- 7.1.3. Combination of Clock Offset and Skew Estimation -- 7.1.4. Simulation Results -- 7.2. Fitting the Line Between Two Points at Minimum Distance Apart -- 7.2.1. Simulation Results -- 7.2.2. Computational Complexity Comparison -- 8. Pairwise Broadcast Synchronization (PBS) -- 8.1. Synchronization for Single-Cluster Networks -- 8.2. Comparisons and Analysis -- 8.3. Synchronization for Multi-Cluster Networks -- 8.3.1. Network-Wide Pair Selection Algorithm (NPA) -- 8.3.2. Group-Wise Pair Selection Algorithm (GPA) -- 8.4. Comparisons and Analysis -- 9. Energy-Efficient Estimation of Clock Offset for Inactive Nodes -- 9.1. Problem Formulation -- 9.2. Maximum Likelihood Estimation (MLE) -- 9.3. Cramer -- Rao Lower Bound (CRLB) -- 9.3.1. CRLB for the Clock Offset of Inactive Node q -- 9.3.2. CRLB for the Clock Offset of Active Node p -- 9.4. Simulation Results -- 10. Some Improved and Generalized Estimation Schemes for Clock Synchronization of Inactive Nodes -- 10.1. Asymmetric Exponential Link Delays -- 10.1.1. Best Linear Unbiased Estimation Using Order Statistics (BLUE-OS) -- 10.1.2. Minimum Variance Unbiased Estimation (MVUE) -- 10.1.3. Minimum Mean Square Error (MMSE) Estimation -- 10.2. Symmetric Exponential Link Delays -- 10.2.1. Best Linear Unbiased Estimation Using Order Statistics (BLUE-OS) -- 10.2.2. Minimum Variance Unbiased Estimation (MVUE) -- 10.2.3. Minimum Mean Square Error (MMSE) Estimation -- 11. Adaptive Multi-hop Time Synchronization (AMTS) -- 11.1. Main Ideas -- 11.2. Level Discovery Phase -- 11.3. Synchronization Phase -- 11.4. Network Evaluation Phase -- 11.4.1. Synchronization Mode Selection -- 11.4.2. Determination of Synchronization Period -- 11.4.3. Determination of the Number of Beacons -- 11.4.4. Sequential Multi-Hop Synchronization Algorithm (SMA) -- 11.5. Simulation Results -- 12. Clock Drift Estimation for Achieving Long-Term Synchronization -- 12.1. Problem Formulation -- 12.2. The Estimation Procedure -- 13. Joint Synchronization of Clock Offset and Skew in a Receiver -- Receiver Protocol -- 13.1. Modeling Assumptions -- 13.2. Joint Maximum Likelihood Estimation (JMLE) of the Offset and Skew -- 13.3. Application of the Gibbs Sampler -- 13.4. Performance Bounds and Simulations -- 14. Robust Estimation of Clock Offset -- 14.1. Problem Modeling and Objectives -- 14.2. Gaussian Mixture Kalman Particle Filter (GMKPF) -- 14.3. Testing the Performance of GMKPF -- 14.4. Composite Particle Filtering (CPF) with Bootstrap Sampling (BS) -- 14.5. Testing the Performance of CPF and CPF with BS -- 15. Conclusions and Future Directions.
- ISBN
- 9780521764421
- 0521764424
- LCCN
- 2009009344
- OCLC
- ocn311769384
- 311769384
- SCSB-9340849
- Owning Institutions
- Princeton University Library