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A Cognitive Global Clock Synchronization Method in Wireless Sensor Networks

Bilal Ahmad, +3 more
- Vol. 6, Iss: 2, pp 29-39
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TLDR
This article has observed jointly maximum likelihood estimation (JMLE) of the clock skew and clock offset in CGCSA to check its performance in terms of synchronization accuracy and compared its scheme with receiver only synchronization (ROS) strategy.
Abstract
Clock synchronization in sensor networks quite recently attained great importance and researchers are concentrating their attention on it. It is utmost difficult to get clock synchronization through clock skew and phase offset. Every sensor node has its own internal clock and it is very necessary to get all the clocks of sensor nodes precisely on common time value to achieve good synchronization. In surveillance and law enforcement applications global synchronization is important as precise mapping is required for the collected sensor data. The sensor nodes form a multi-hop and ad-hoc network for such applications. The basic demand for these applications is high accuracy and reduced latency error. The main contribution of this article is: 1. Brief introduction of fault tolerant novelty of the cognitive global clock synchronization algorithm (CGCSA) and 2. In this article we have observed jointly maximum likelihood estimation (JMLE) of the clock skew and clock offset in CGCSA to check its performance in terms of synchronization accuracy and compared our scheme with receiver only synchronization (ROS) strategy.

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Citations
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Book ChapterDOI

Security Threats for Time Synchronization Protocols in the Internet of Things

TL;DR: This chapter contributes a thorough insight into the possible threats to time synchronization in backbone WSN of IoT, existing security measures with qualitative and quantitative analysis, and their scope and limitations to help the research community to develop light-weight and efficient secured time synchronization protocols for IoT.
References
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Journal ArticleDOI

Fine-grained network time synchronization using reference broadcasts

TL;DR: Reference Broadcast Synchronization (RBS) as discussed by the authors is a scheme in which nodes send reference beacons to their neighbors using physical-layer broadcasts, and receivers use their arrival time as a point of reference for comparing their clocks.
Proceedings ArticleDOI

The flooding time synchronization protocol

TL;DR: The FTSP achieves its robustness by utilizing periodic flooding of synchronization messages, and implicit dynamic topology update and comprehensive error compensation including clock skew estimation, which is markedly better than that of the existing RBS and TPSN algorithms.
Proceedings ArticleDOI

Timing-sync protocol for sensor networks

TL;DR: It is argued that TPSN roughly gives a 2x better performance as compared to Reference Broadcast Synchronization (RBS) and verify this by implementing RBS on motes and use simulations to verify its accuracy over large-scale networks.
Book

Wireless Sensor Networks: Technology, Protocols, and Applications

TL;DR: This paper describes the development of Wireless Sensors Networks and its applications, and some of the applications can be found in the Commercial and Scientific Applications of Wireless Sensor Networks and Performance and Traffic Management Issues.
Journal ArticleDOI

The platforms enabling wireless sensor networks

TL;DR: All emphasize low-cost components operating on shoestring power budgets for years at a time in potentially hostile environments without hope of human intervention.
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