Error compensation algorithm in wireless sensor networks synchronisation

Wang, Fuqiang; Zeng, Peng; Yu, Haibin; Xiao, Yang

doi:10.1504/ijsnet.2011.042196

Cited by 13 publications

(4 citation statements)

References 26 publications

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“…Most oscillators in nodes are not so precise because the frequency corresponding to physical time cannot be exactly right. Even a frequency deviation of only 0.001% would lead to a clock error of about 1 s per day (Wang et al, 2011). Considering the software clock in a distributed system that synchronises to UTC, the node's local time is C(t) that is not always the same as physical time t. For a perfect clock, the derivative dC(t)/dt (clock rate) should be equal to 1.…”

Section: Clock Modelmentioning

confidence: 99%

Extensible time synchronisation protocol for wireless sensor networks

Wang

et al. 2017

IJSNET

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Abstract:One important aspect in many applications of wireless sensor networks (WSNs) is time synchronisation. There are still some problems to be solved for time synchronisation, such as error and imbalance of time synchronisation precision, causing the fluctuations among nodes' time and being even worse for those with a larger number of hops, producing unstable communication links for the network. In this paper, we introduce an extensible time synchronisation protocol (ETSP) for WSNs and nodes get synchronised through time stamps from the root node directly or indirectly. We improve the least square method for linear regression to get better performance of time drift and spread the time information from the root node to the whole network. The proposed method reduces fluctuations in terms of time among nodes especially for the nodes far from the root, enhancing stability in large-scale networks. Simulation and experimental results show good performance of our method. 30F. Wang et al.

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Section: Clock Modelmentioning

confidence: 99%

Extensible time synchronisation protocol for wireless sensor networks

Wang

et al. 2017

IJSNET

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“…The wireless sensor network becomes a promising technology for transmission line online monitoring due to its low cost, easy installation, large‐scale coverage, and fault tolerance characteristics . There have been some experimental studies on performance of wireless sensor network platforms in the power system environment , and the paper analyzes the performance of the Mica2 motes in a linear aligned wireless sensor network for long distance overhead power lines. The paper presents an experimental study on the wireless link assessment in different electric power systems including a 500 kv sub‐station.…”

Section: Related Workmentioning

confidence: 99%

Monitoring power transmission lines using a wireless sensor network

Lin

Zhu

Zeng

et al. 2014

Wireless Communications

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Power transmission is the bulk transfer of electrical energy from power plants to sub-stations. A wireless sensor network is a promising technology for transmission line monitoring due to its low cost, easy installation, large-scale coverage, and fault tolerance characteristics. A wireless sensor network is application-specific; therefore, we investigate the new features and requirements of the wireless sensor network used in transmission line monitoring. Then, we propose an efficient wireless sensor network framework, which includes a clustering algorithm to simplify network management and to balance the network's energy consumption and a hybrid media access control (MAC) (H-MAC) protocol to handle traffic variability. The framework takes advantage of the features of network topology and traffic pattern to optimize the protocols' performance on real time and energy efficiency. The results indicate that the H-MAC shows a significant improvement in the network's reliability, real-time performance, and energy efficiency, and the cluster hierarchy can balance the network's energy consumption. Furthermore, the cluster hierarchy also prolongs the network's lifetime.

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“…However, the models developed in are based on the assumption that each individual is able to interact with only a few other individuals (generally three or four) in the same vicinity. There are other much related works .…”

Section: Related Workmentioning

confidence: 99%

The effects of wireless communication failures on group behavior of mobile sensors

Zheng

Huang

Wang

et al. 2012

Wireless Communications

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In social groups, complex group behavior often emerges from the local interaction among simple individuals. Throughout this study, we assume that individuals can access information by way of wireless communication. In this case, individuals are able to exchange accurate information with each other as long as wireless communication links between them are allowed. Subsequently, we propose a consensus decision-making model for studying the consistency of group behavior considering both the wireless communication range and the probability of successful communication. Our simulation results show the following conclusions: (i) consistency of the group behavior is absolutely achieved, when the wireless communication range is large enough and the probability of successful communication p D 1; (ii) when the wireless communication range is large enough, the consistency of the group behavior is still achieved as long as p is bigger than some small constant; and (iii) the law in (iii) remains applicable when the number of individuals in the group changes. Therefore, one may infer that consistency of group behavior in mobile sensors is much more related to the extent of distribution of obtainable information than the amount of information, where the extent of distribution of obtainable information means that each individual can obtain information from wider area or from those individuals who are not only in its local area.

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Error compensation algorithm in wireless sensor networks synchronisation

Cited by 13 publications

References 26 publications

Extensible time synchronisation protocol for wireless sensor networks

Extensible time synchronisation protocol for wireless sensor networks

Monitoring power transmission lines using a wireless sensor network

The effects of wireless communication failures on group behavior of mobile sensors

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