scholarly journals An on-demand global time synchronization based on data analysis for wireless sensor networks

2018 ◽  
Vol 129 ◽  
pp. 503-510
Author(s):  
Longgeng Liu ◽  
Guangchun Luo ◽  
Ke Qin ◽  
Xiping Zhang
Keyword(s):  
Wireless Sensor Networks ◽  
Data Analysis ◽  
Sensor Networks ◽  
Time Synchronization ◽  
Wireless Sensor ◽  
On Demand ◽  
Global Time

scholarly journals An anomaly node detection method for distributed time synchronization algorithm in cognitive radio sensor networks

2018 ◽  
Vol 14 (5) ◽  
pp. 155014771877446
Author(s):  
Qi Yang ◽  
Xuan Zhang ◽  
Jingfeng Qian ◽  
Qiang Ye
Keyword(s):  
Wireless Sensor Networks ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Time Synchronization ◽  
Detection Method ◽  
Wireless Sensor ◽  
Synchronization Process ◽  
Cognitive Radio Sensor Networks ◽  
Synchronization Algorithm ◽  
Global Time

In wireless sensor networks, time synchronization is an important issue for all nodes to have a unified time. The wireless sensor network nodes should cooperatively adjust their local time according to certain distributed synchronization algorithms to achieve global time synchronization. Conventionally, it is assumed that all nodes in the network are cooperative and well-functioned in the synchronization process. However, in cognitive radio wireless sensor networks, the global time synchronization process among secondary users is prone to fail because the communication process for exchanging synchronization reference may be frequently interrupted by the primary users. The anomaly nodes that failed to synchronize will significantly affect the global convergence performance of the synchronization algorithm. This article proposes an anomaly node detection method for distributed time synchronization algorithm in cognitive radio sensor networks. The proposed method adopts the statistical linear correlation analysis approach to detect anomaly nodes through the historical time synchronization information stored in local nodes. Simulation results show that the proposed method can effectively improve the robustness of the synchronization algorithm in distributed cognitive radio sensor networks.

An accurate on-demand time synchronization protocol for wireless sensor networks

2012 ◽  
Vol 72 (10) ◽  
pp. 1332-1346 ◽  
Author(s):  
Ge Huang ◽  
Albert Y. Zomaya ◽  
Flávia C. Delicato ◽  
Paulo F. Pires
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Time Synchronization ◽  
Wireless Sensor ◽  
On Demand ◽  
Synchronization Protocol

Real-Time Routing Based on On-Demand Multi-Hop Lookahead in Wireless Sensor Networks

2011 ◽  
Vol E94-B (2) ◽  
pp. 569-572
Author(s):  
Soochang PARK ◽  
Euisin LEE ◽  
Juhyun JUNG ◽  
Sang-Ha KIM
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Real Time ◽  
Wireless Sensor ◽  
On Demand
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