| Title |
Cellular IoT Capacity Estimation for African Smart Cities |
| ID_Doc |
42244 |
| Authors |
von Wielligh, RJ; Grobler, MJ; Marais, HJ |
| Title |
Cellular IoT Capacity Estimation for African Smart Cities |
| Year |
2018 |
| Published |
|
| DOI |
|
| Abstract |
Improvements in Internet of Things (IoT) enabling technology lead to increased potential for creating smart and safe cities for the future. While many first world countries already reap the benefits of this technology, developing countries, specifically those in Sub-Saharan Africa, still need to overcome significant barriers before experiencing the same value. Two of these barriers are a) existing network infrastructure and b) limited financial backing to implement a stand-alone IoT network. In most African cities repeated and extensive cable theft lead to the degradation of the fixed line infrastructure to such an extent that operators are reluctant to replace copper or fibre cables. The uptake of wireless technology, however, increased significantly. While cellular communication technology is prevalent in Africa, it should be noted that in most towns and cities this means a third-generation (3G) or earlier implementation. If an IoT deployment were to be considered for this environment, this should be taken into account. In this paper, a capacity estimation is performed for a typical town in South Africa, using the existing cellular technology as an input parameter. As a small initial step towards the creation of a smart city, the case of using IoT technology for traffic light management is considered in a simulation environment. The results of the simulation verify that the current network can accommodate the load of this implementation and the maximum number of devices that can communicate using the current infrastructure is calculated. |
| Author Keywords |
African IoT; Capacity Estimation; Cellular Networks; Internet of Things; Safe City; Smart City |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000458103500013 |
| WoS Category |
Computer Science, Information Systems; Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
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