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Smart city article details
| Title | Iot Frameworks: Comparing Efficiency And Scalability In Smart City Applications |
|---|---|
| ID_Doc | 33832 |
| Authors | Holambe S.N.; Joshi S.M.; Mane P.P.; Navandar R.K.; Gaikwad V.S. |
| Year | 2024 |
| Published | Advances in Nonlinear Variational Inequalities, 27, 3 |
| DOI | http://dx.doi.org/10.52783/anvi.v27.1416 |
| Abstract | As Smart City apps change quickly, IoT platforms are very important for making it possible to install linked devices and services quickly and on a large scale. The main goal of this study is to compare how well and how easily different IoT systems can be expanded to work in Smart City settings. Being efficient in IoT systems means that they can make the best use of resources, reduce delay, use less energy, and keep data transfer stable. Concerning scalability, on the other hand, we look at how well these frameworks can grow to support more devices and people without affecting security or speed. This study looks at a number of well-known IoT systems, each with its own layout and set of rules made to solve specific Smart City problems. Frameworks like MQTT (Message Queuing Telemetry Transport) focus on lightweight communication and publish-subscribe messaging models. This makes them perfect for situations where low bandwidth and fast data sharing between many devices in cities are needed. CoAP (Constrained Application Protocol) is unique because of its RESTful architecture, which allows for scalability thanks to its stateless design and support for resource discovery. This makes it ideal for use in situations where device interactions are dynamic and spread out, like in traffic management systems or environmental monitoring. The study also looks into systems such as LwM2M (Lightweight Machine-to-Machine), which is known for its effective device control and support for devices that don't have a lot of memory or processing power. Its protocol design makes sure that data sharing and device control work reliably, which is important for keeping service going in large-scale setups like those found in Smart City infrastructures. The study also looks at how these frameworks compare in terms of performance measures like speed, delay, and flexibility when networks are changed and workloads are distributed in ways that are common in Smart City settings. © 2024, International Publications. All rights reserved. |
| Author Keywords | Efficiency; IoT frameworks; Scalability; Smart City; Urban infrastructure |
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