Experimental Characterization of Synchronization Protocols for Instrument Wireless Interface

Lecture Notes in Electrical Engineering

Attianese

et al. 2013

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Time synchronization is a critical element in low cost Wireless Sensor Networks. Many synchronization algorithms can be found in literature the performance of which is usually evaluated either in simulation environments or by adopting ad hoc radio systems. Attention is rarely paid to the infl uence of factors such as: clock stability, the dependence of the measurement application on the synchronization algorithm and vice versa, the effect of the limited bandwidth available on real radio systems. This paper makes the fi rst step toward this direction proposing the experimental characterization of a small scale WSN analyzing the some of these protocols versus common wireless busses such as BlueTooth, WiFi, and ZigBee.

Section: The Experimental Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experimental Analysis of Wireless Sensor Network Synchronization Protocols Under Real Operating Conditions

Lecture Notes in Electrical Engineering

Attianese

et al. 2013

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“…In this scenario, stemming from previous experiences in fields of SG [15], sensor networks performance characterization [16,17], measurement uncertainties in communication networks [18], consensus-based networks [19], [26], in this paper the authors propose to investigate on performance characterization of self-organizing monitoring architecture with advanced time synchronization protocols based on consensus algorithms. In particular, the study aims in investigating influence factors, typical of real environments and real smart grid applications, and that generally could affect the system operating as better described in the following.…”

Section: Introductionmentioning

confidence: 99%

Cooperative and self organizing paradigm for wide area synchronized monitoring of Smart Grids: Performance analysis in real operating scenarios

2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings

Paciello

et al. 2014

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Synchronized Wide-Area Monitoring Systems (WAMS) are very important in the development and the use of power system-wide measurements to avoid large disturbances and reduce the probability of catastrophic events. Typically in WAMS the global absolute time reference for sensors synchronization is obtained by satellite-based timing signals processing. Since these signals are extremely vulnerable to radiofrequency interference, effective countermeasures aimed at increasing the resilience of synchronized WAMS to external and internal interferences need to be designed. To this aim several synchronization approaches are explored in literature. In particular, to avoid the large volume of raw data involved in typical client-server architectures, many researchers are analyzing the possibility offered by decentralized architecture based on consensus policies. In this scenario many consensus-based synchronization methods are proposed in literature but the attention has rarely been paid to the influence factors that characterize real environments and real smart grid applications as: (i) the presence of hardware characterized by finite processing time, and finite resolution of nodes involved in the consensus procedure; (ii) the effect of typical clock instability as drift, jitter and wander; (iii) the effect of latencies and limited bandwidths available on a radio system or when common commercial wireless communication are adopted. All the above-mentioned influence factors can be thought of as causes of uncertainties that could affect the overall performance. This paper proposes a study these influence factors both in simulated and real scenarios. The final aim is to find an uncertainty model to evaluate and forecast the reliability and the quality of the time synchronization procedure.

“…In this scenario, stemming from previous experiences in fields of the SG [17], [18], sensor networks performance characterization [19]- [21], measurement uncertainties in communication networks [22]- [25], the authors propose a study aimed at characterizing the performance of distributed consensus protocols based on reliable computing to cope with uncertainty and non ideality of the measurement instruments. The proposed study aims at estimating changes in some performance indexes of these consensus protocols as the increasing of the convergence time, the worsening of convergence repeatability and so on.…”

Section: Introductionmentioning

confidence: 99%

On the performance of consensus protocols for decentralized smart grid metering in presence of measurement uncertainty

2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

Paciello

et al. 2013

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The availability of intelligence at substation level, combined with the adoption of pervasive communication networks, offers technologies and opportunities to decentralized smart grid metering and control. In this domain self-organizing sensor networks equipped by distributed consensus protocols has been recognized as an effective enabling paradigm. The large scale deployment of this paradigm asks for comprehensive analysis aimed at assessing the impact of the non idealities characterizing the real power system environment on the cooperative protocols performance. Armed with such a vision this paper aims at characterizing the performance of distributed consensus protocols in the presence of measurement uncertainty and non-ideality of the measurement instruments in a smart grid environment.