A clock drift compensation method for synchronous sampling in sensor networks

2019 ◽  
Vol 30 (2) ◽  
pp. 025103 ◽  
Author(s):  
Bing Jiang ◽  
Meng Chen ◽  
Feifan Chen
Keyword(s):  
Sensor Networks ◽  
Compensation Method ◽  
Clock Drift ◽  
Synchronous Sampling ◽  
Drift Compensation

scholarly journals FADS: Fast Scheduling and Accurate Drift Compensation for Time Synchronization of Wireless Sensor Networks

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 65507-65520 ◽  
Author(s):  
Mahmoud Elsharief ◽  
Mohamed A. Abd El-Gawad ◽  
Hyungwon Kim
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Time Synchronization ◽  
Wireless Sensor ◽  
Drift Compensation

Clock Drift Management Using Nature Inspired Algorithms

2012 ◽  
Vol 5 (4) ◽  
pp. 48-62
Author(s):  
Prakash Tekchandani ◽  
Aditya Trivedi
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Time Synchronization ◽  
Synchronization Error ◽  
Wireless Sensor ◽  
Clock Skew ◽  
Clock Drift ◽  
Distributed Sensor ◽  
Network Applications ◽  
Nature Inspired Algorithms

Time Synchronization is common requirement for most network applications. It is particularly essential in a Wireless Sensor Networks (WSNs) to allow collective signal processing, proper correlation of diverse measurements taken from a set of distributed sensor elements and for an efficient sharing of the communication channel. The Flooding Time Synchronization Protocol (FTSP) was developed explicitly for time synchronization of wireless sensor networks. In this paper, we optimized FTSP for clock drift management using Particle Swarm Optimization (PSO), Variant of PSO and Differential Evolution (DE). The paper estimates the clock offset, clock skew, generates linear line and optimizes the value of average time synchronization error using PSO, Variant of PSO and DE. In this paper we present implementation and experimental results that produces reduced average time synchronization error using PSO, Variant of PSO and DE, compared to that of linear regression used in FTSP.

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