Performance evaluation of IEEE 802.15.4-compliant smart water meters for automating large-scale waterways

Smart rainwater harvesting (RWH) systems can automatically release stormwater prior to rainfall events to increase detention capacity on a household level. However, impacts and benefits of a widespread implementation of these systems are often unknown. This works aims to investigate the effect of a large-scale implementation of smart RWH systems on urban resilience by hypothetically retrofitting an Alpine municipality with smart rain barrels. Smart RWH systems represent dynamic systems, and therefore, the interaction between the coupled systems RWH units, an urban drainage network (UDN) and digital infrastructure is critical for evaluating resilience against system failures. In particular, digital parameters (e.g., accuracy of weather forecasts, or reliability of data communication) can differ from an ideal performance. Therefore, different digital parameters are varied to determine the range of uncertainties associated with smart RWH systems. As the results demonstrate, smart RWH systems can further increase integrated system resilience but require a coordinated integration into the overall system. Additionally, sufficient consideration of digital uncertainties is of great importance for smart water systems, as uncertainties can reduce/eliminate gained performance improvements. Moreover, a long-term simulation should be applied to investigate resilience with digital applications to reduce dependence on boundary conditions and rainfall patterns.

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Environmental performance evaluation of large-scale municipal solid waste incinerators using data envelopment analysis

Waste Management ◽

10.1016/j.wasman.2010.02.002 ◽

2010 ◽

Vol 30 (7) ◽

pp. 1371-1381 ◽

Cited By ~ 30

Author(s):

Ho-Wen Chen ◽

Ni-Bin Chang ◽

Jeng-Chung Chen ◽

Shu-Ju Tsai

Keyword(s):

Performance Evaluation ◽

Data Envelopment Analysis ◽

Municipal Solid Waste ◽

Solid Waste ◽

Environmental Performance ◽

Large Scale ◽

Data Envelopment ◽

Waste Incinerators ◽

Using Data ◽

Environmental Performance Evaluation

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Performance Evaluation of Intercluster Multi-hop Communication Large-Scale Sensor Networks

The Sixth IEEE International Conference on Computer and Information Technology (CIT'06) ◽

10.1109/cit.2006.145 ◽

2006 ◽

Cited By ~ 4

Author(s):

Yuichi Kiri ◽

Masashi Sugano ◽

Masayuki Murata

Keyword(s):

Performance Evaluation ◽

Sensor Networks ◽

Large Scale

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Analysis and Enhancement of IEEE 802.15.4e DSME Beacon Scheduling Model

Journal of Applied Mathematics ◽

10.1155/2014/934610 ◽

2014 ◽

Vol 2014 ◽

pp. 1-15 ◽

Cited By ~ 6

Author(s):

Kwang-il Hwang ◽

Sung-wook Nam

Keyword(s):

Internet Of Things ◽

Large Scale ◽

Ieee 802.15.4 ◽

Design Model ◽

Abstract Model ◽

Modes Of Operation ◽

Network Construction ◽

Scheduling Model ◽

And Performance ◽

Ieee 802.15.4E

In order to construct a successful Internet of things (IoT), reliable network construction and maintenance in a sensor domain should be supported. However, IEEE 802.15.4, which is the most representative wireless standard for IoT, still has problems in constructing a large-scale sensor network, such as beacon collision. To overcome some problems in IEEE 802.15.4, the 15.4e task group proposed various different modes of operation. Particularly, the IEEE 802.15.4e deterministic and synchronous multichannel extension (DSME) mode presents a novel scheduling model to solve beacon collision problems. However, the DSME model specified in the 15.4e draft does not present a concrete design model but a conceptual abstract model. Therefore, in this paper we introduce a DSME beacon scheduling model and present a concrete design model. Furthermore, validity and performance of DSME are evaluated through experiments. Based on experiment results, we analyze the problems and limitations of DSME, present solutions step by step, and finally propose an enhanced DSME beacon scheduling model. Through additional experiments, we prove the performance superiority of enhanced DSME.

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