Toward accurate clock drift modeling in Wireless Sensor Networks simulation

2020 ◽  
Vol 163 ◽  
pp. 1-11
Author(s):  
David Hauweele ◽  
Bruno Quoitin
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Clock Drift

E-DTDOA Based Localization for Wireless Sensor Networks With Clock Drift Compensation

2020 ◽  
Vol 20 (5) ◽  
pp. 2648-2658 ◽  
Author(s):  
Ankush Vashistha ◽  
Choi Look Law
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Clock Drift ◽  
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.

Advanced Virtual Clock Synchronization in Wireless Sensor Networks

2014 ◽  
Vol 644-650 ◽  
pp. 2727-2730
Author(s):  
Yong Luo
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Clock Synchronization ◽  
Wireless Sensor ◽  
Simulation Data ◽  
Clock Drift ◽  
Clock Offset ◽  
Synchronization Protocol

Wireless sensor network works based on the clock synchronization, which need to eliminate hardware-induced drift as well as clock offset. This paper presents an Advanced Virtual Clock Synchronization protocol based on the index approximation.Each node accesses to the network with an unique clock drift and offset, the more difference between the node and the virtual clock, the fast the node adjusts it's drift and offset, thus improve the synchronization efficiency. Simulation data proves that this protocol can effectively improve the synchronization efficiency.

Principles of Wireless Sensor Networks

2012 ◽  
Author(s):  
Mohammad S. Obaidat ◽  
Sudip Misra
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor

A Power Optimization Method in Large-Scale Wireless Sensor Networks Using a Two-Stage Meta-Heuristic Algorithm

2014 ◽  
Vol 2 ◽  
pp. 302-305
Author(s):  
Ryohei Sato ◽  
Hidehiro Nakano ◽  
Arata Miyauchi
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Heuristic Algorithm ◽  
Large Scale ◽  
Power Optimization ◽  
Optimization Method ◽  
Wireless Sensor ◽  
Two Stage
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