An SDN-IoT − Based Framework for Future Smart Cities

Ghosh, Uttam; Chatterjee, Pushpita; Shetty, Sachin; Datta, Raja

doi:10.1201/9780367276706-12

Cited by 8 publications

(4 citation statements)

References 37 publications

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“…In this paper the suggested switch will choose the most efficient power source based on some preference. This smart switch is capable of selecting from multiple power sources and it will always provide the consumer with power using the most efficient power source [11], [12].…”

Section: Related Workmentioning

confidence: 99%

Design and simulation of a software defined networking-enabled smart switch for internet of things-based smart grid

Abdulkadhim

Abdulmuhsen

Al-Kadhimi

2022

IJEECS

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Using sustainable energy is the future of our planet earth, this became not only economically efficient but also a necessity for the preservation of life on earth. Because of such necessity, smart grids became a very important issue to be researched. Many literatures discussed this topic and with the development of internet of things (IoT) and smart sensors, smart grids are developed even further. On the other hand, software defined networking is a technology that separates the cntrol plane from the data plan of the network. It centralizes the management and the orchestration of the network tasks by using a network controller. The network controller is the heart of the SDN-enabled network, and it can control other networking devices using software defined networking (SDN) protocols such as OpenFlow. A smart switching mechanism called (SDN-smgrid-sw) for the smart grid will be modeled and controlled using SDN. We modeled the environment that interact with the sensors, for the sun and the wind elements. The Algorithm is modeled and programmed for smart efficient power sharing that is managed centrally and monitored using SDN controller. Also, all if the smart grid elements (power sources) are connected to the IP network using IoT protocols.

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Section: Related Workmentioning

confidence: 99%

Design and simulation of a software defined networking-enabled smart switch for internet of things-based smart grid

Abdulkadhim

Abdulmuhsen

Al-Kadhimi

2022

IJEECS

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“…This is accomplished by the fact that the data packets of all IoT devices are handled by the SDN controller and their data is separated depending on the context. Ghosh et al [22] presented our SDN-IoT focused smart city framework, which is optimised, regulated, and controlled by a global control centre. The proposed architecture embraces heterogeneous networks and includes multiple networks, namely ZigBee, MANETs, sensor networks, and Bluetooth.…”

Section: Iot-sdn In Smart Citiesmentioning

confidence: 99%

Cloud Based Smart City Services for Industrial Internet of Things in Software-Defined Networking

et al. 2021

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The network session constraints for Industrial Internet of Things (IIoT) applications are different and challenging. These constraints necessitates a high level of reconfigurability, so that the system can assess the impact of an event and adjust the network effectively. Software Defined Networking (SDN) in contrast to existing networks segregates the control and data plane to support network configuration which is programmable with smart cities requirement that shows the highest impact on the system but faces the problem of reliability. To address this issue, the SDN-IIoT based load balancing algorithm is proposed in this article and it is not application specific.Quality of service (QoS) aware architecture i.e., SDN-IIoT load balancing scheme is proposed and it deals with load on the servers. Huge load on the servers, makes them vulnerable to halt the system and hence leads to faults which creates the reliability problem for real time applications. In this article, load is migrated from one server to another server, if load on one server is more than threshold value. Load distribution has made the proposed scheme more reliable than already existing schemes. Further, the topology used for the implementation has been designed using POX controller and the results has been evaluated using Mininet emulator with its support in python programming. Lastly, the performance is evaluated based on the various Quality of Service (QoS) metrics; data transmission, response time and CPU utilization which shows that the proposed algorithm has shown 10% improvement over the existing LBBSRT, Random, Round-robin, Heuristic algorithms.

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“…5G technology further provides better connectivity and faster data transmissions needed for realtime or near realtime applications and services [165][166][167]. The ability to control and manage the network dynamically through SDN provides flexibility in terms of improving the scalability and dynamic routing and rerouting of data packets in case of any hindrances in the network [168][169][170].…”

Section: G and Sdn Technologymentioning

confidence: 99%

Cyber-Physical Systems and Smart Cities in India: Opportunities, Issues, and Challenges

Ahmad

Ahad

Alam

et al. 2021

Sensors

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A large section of the population around the globe is migrating towards urban settlements. Nations are working toward smart city projects to provide a better wellbeing for the inhabitants. Cyber-physical systems are at the core of the smart city setups. They are used in almost every system component within a smart city ecosystem. This paper attempts to discuss the key components and issues involved in transforming conventional cities into smart cities with a special focus on cyber-physical systems in the Indian context. The paper primarily focuses on the infrastructural facilities and technical knowhow to smartly convert classical cities that were built haphazardly due to overpopulation and ill planning into smart cities. It further discusses cyber-physical systems as a core component of smart city setups, highlighting the related security issues. The opportunities for businesses, governments, inhabitants, and other stakeholders in a smart city ecosystem in the Indian context are also discussed. Finally, it highlights the issues and challenges concerning technical, financial, and other social and infrastructural bottlenecks in the way of realizing smart city concepts along with future research directions.

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An SDN-IoT − Based Framework for Future Smart Cities

Cited by 8 publications

References 37 publications

Design and simulation of a software defined networking-enabled smart switch for internet of things-based smart grid

Design and simulation of a software defined networking-enabled smart switch for internet of things-based smart grid

Cloud Based Smart City Services for Industrial Internet of Things in Software-Defined Networking

Cyber-Physical Systems and Smart Cities in India: Opportunities, Issues, and Challenges

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