Name
Abstract | ||
|---|---|---|
Cities increasingly face challenges related to pollution, efficient use of resources (e.g. water, energy) and ensuring a good quality of life for its citizens. Solutions built on existing and emerging technologies such as Cloud computing, Internet of Things, Machine-to-Machine and data analytics can improve on or create services able to address these challenges. These solutions are seen as contributors in creating a Smart City. In Europe Smart Cities have been implemented, while South Africa has only recently started with Smart City initiatives. Current thinking has been to replicate international Smart City instances in South Africa. However, an open question is raised if this is an optimal strategy as differences in context might impact on the delivery of services. This paper extracts and compares contextual differences between Europe and South Africa, and based on those insights analyse whether full European solutions will deliver on the promise of a South African Smart City. Furthermore the question is raised if insights into a South African Smart City can strengthen European initiatives. A need for inter-continental automated testing facilities such as those developed by TRESCIMO is identified through which integrated experiments can be conducted to provide insight and answers. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/WF-IoT.2015.7389151 | WF-IoT |
Field | DocType | Citations |
Machine to machine,Urbanization,Smart grid,Computer science,Computer security,Emerging technologies,Smart city,Water resources,European union,Cloud computing | Conference | 1 |
PageRank | References | Authors |
0.36 | 0 | 15 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Louis Coetzee | 1 | 1 | 0.36 |
| Andrew Cyrus Smith | 2 | 9 | 2.24 |
| Alejandra Escobar Rubalcava | 3 | 1 | 0.36 |
| Andreea Corici | 4 | 12 | 3.05 |
| Thomas Magedanz | 5 | 1012 | 150.45 |
| Ronald Steinke | 6 | 43 | 5.84 |
| maria luisa catalan cid | 7 | 34 | 4.60 |
| Josep Paradells | 8 | 472 | 44.49 |
| Madhoo, H. | 9 | 14 | 1.21 |
| Tiaan Willemse | 10 | 1 | 0.36 |
| Joyce B. Mwangama | 11 | 4 | 2.92 |
| Nyasha Mukudu | 12 | 1 | 0.36 |
| Neco Ventura | 13 | 124 | 25.86 |
| Maria Barros | 14 | 37 | 3.78 |
| Anastasius Gavras | 15 | 405 | 60.20 |