Smart Energy Utilities based on Real-Time GIS Web Services and Internet of Things

Nourjou, Reza; Hashemipour, Mehdi

doi:10.1016/j.procs.2017.06.070

Cited by 14 publications

(10 citation statements)

References 5 publications

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“…These devices can range from a sensor that detects movement to report intruders in a company's facilities to a household appliance with integrated circuits and connections that can be configured or programmed remotely. Smart cities [2], transportation [3], healthcare [4], [5], public services [6], and monitoring [7] are some of the areas in which the use of IoT is essential for the solution of different problems. These solutions are possible because the IoT paradigm application allows the collection, composition, and analysis of critical data generated in these existing scenarios.…”

Section: Introductionmentioning

confidence: 99%

WRF-RPL: Weighted Random Forward RPL for High Traffic and Energy Demanding Scenarios

et al. 2021

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The wireless sensor networks (WSN) are immersed in multiple areas of knowledge and are the alternative that allows analyzing, solving, and preventing problems under different facets. The RPL protocol (IPv6 Routing Protocol for Low power a Lossy Networks) arises for the management of this type of network restricted by their physical capabilities through different rules and operations that simplify the communications and constructions of the WSN. Although RPL is an efficient and standardized protocol, it does not consider high traffic handling and presents severe problems regarding load balancing, which leads to service disruption. In this article, WRF-RPL is proposed as a protocol for considering load balancing over RPL to distribute communications and messages into a network topology to avoid one preferred parent's congestions. The proposed protocol aims to improve the network's lifetime and the packet delivery through source nodes to the sink in an energy-efficient manner. Different simulated scenarios were conducted over the Cooja simulator. The results show that WRF-RPL protocols outperform the standard RPL protocol over Network Lifetime, PDR, control message overhead, and energy consumption compared with other existing protocols.

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Section: Introductionmentioning

confidence: 99%

WRF-RPL: Weighted Random Forward RPL for High Traffic and Energy Demanding Scenarios

et al. 2021

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“…In 2008, an online real-time map system was developed to support real-time GIS working with different data formats by exchanging and presenting data [17]. The real-time GIS was also applied for disseminating the hazard information and flood maps [18], smart energy utilities [19] applications and as cyberinfrastructure platforms to support multivariate visualization of data collected from distributed sensor network [20]. However, these existing systems cannot directly be applied to the 3D visualization of energy simulation, which requires the supporting for 3D buildings or city objects [21].…”

Section: Related Workmentioning

confidence: 99%

Dynamic Online 3D Visualization Framework for Real-Time Energy Simulation Based on 3D Tiles

Mao

Ban

Laumert

2020

IJGI

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Energy co-simulation can be used to analyze the dynamic energy consumption of a building or a region, which is essential for decision making in the planning and management of smart cities. To increase the accessibility of energy simulation results, a dynamic online 3D city model visualization framework based on 3D Tiles is proposed in this paper. Two types of styling methods are studied, attribute-based and ID map-based. We first perform the energy co-simulation and save the results in CityGML format with EnergyADE. Then the 3D geometry data of these city objects are combined with its simulation results as attributes or just with object ID information to generate Batched 3D Models (B3DM) in 3D Tiles. Next, styling strategies are pre-defined and can be selected by end-users to show different scenarios. Finally, during the visualization process, dynamic interactions and data sources are integrated into the styling generation to support real-time visualization. This framework is implemented with Cesium. Compared with existing dynamic online 3D visualization framework such as directly styling or Cesium Language (CZML), a JSON format for describing a time-dynamic graphical scene, primarily for display in a web browser running Cesium, the proposed framework is more flexible and has higher performance in both data transmission and rendering which is essential for real-time GIS applications.

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“…In the recovery stage, IoT can help examining disaster damages and effects, performing the determined recovery plans, and investigating continuously the remaining financial and human resources in compliance with the unresolved damages [14]. For instance, the system proposed by Reza Nourjou et al [15] is a software for the real-time monitoring of the power outage and its macroeconomic losses whose usage can optimize the energy-related decisions in crises.…”

Section: Effects Of Iot On Disaster Managementmentioning

confidence: 99%

A Qualitative Study of Various Aspects of the Application of IoT in Disaster Management

Ghasemi

Karimian

2020

2020 6th International Conference on Web Research (ICWR)

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⎯Considering the vital issue of disaster management and the requirement of its additional development due to the increase in the rate of disasters over the recent years, using new technologies in all stages of disaster management including preparation stages for pre-disaster periods, reaction to disaster during its occurrence as well as the post-disaster reconstruction is very important. Therefore, the capacity of IoT in creating intelligence in objects to investigate different environmental parameters, the capacity of analyzing information, the intelligence required to predict some events and consequently, responding timely to any event and even proposing programs and systems for human performance are very effective in managing disasters. The existing resources for investigating the usages of Internet of Things (IoT) in disaster management could each address a particular aspect of this application. This paper has attempted to present a comprehensive view regarding the different dimensions of application of IoT in disaster management. The advantages and disadvantages of this application are mentioned, some instances of previous systems and models have also been discussed. The novelty of this work is the extent of examined dimensions and also addressing what can be done in different kinds of disasters.

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Smart Energy Utilities based on Real-Time GIS Web Services and Internet of Things

Cited by 14 publications

References 5 publications

WRF-RPL: Weighted Random Forward RPL for High Traffic and Energy Demanding Scenarios

WRF-RPL: Weighted Random Forward RPL for High Traffic and Energy Demanding Scenarios

Dynamic Online 3D Visualization Framework for Real-Time Energy Simulation Based on 3D Tiles

A Qualitative Study of Various Aspects of the Application of IoT in Disaster Management

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