Optimized Load Centroid and Rabin Onion Secured Routing in Wireless Sensor Network for IoT

Mohanraj, Renuka

doi:10.34257/gjcstevol20is2pg1

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…From the perspective of scale, when the number of sensor nodes is large, the deployment density of nodes will be high. On the basis of scale, the self-organization of wireless sensor networks is mainly reflected in the dynamic adaptation to network topology [6][7]. When the application environment is complex, the hardware or software conditions of the gateway node of WSN need to have more operating space in terms of reliability and fault tolerance, regardless of hardware or software conditions.…”

Section: Extracting Features Of Wireless Sensor Networkmentioning

confidence: 99%

Design of gateway nodes for wireless sensor networks based on microservice architecture

Lin

Fan

Liu

et al. 2023

Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022)

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As the control center of wireless sensor network, gateway plays a key role in the communication between internal network and external network. The wireless sensor network gateway mainly integrates the data of each sensor node, and transmits the data to the remote terminal through wireless communication and Ethernet, and then performs corresponding processing according to the instructions issued by the monitoring center. However, the large amount of data transmission of gateway nodes in wireless sensor networks leads to the problem of high CPU occupancy, which has a negative impact on the resource allocation and utilization of the gateway. To this end, a wireless sensor network gateway node based on micro service architecture is designed. The hardware part selects the CC2530 chip integrated with 8051 CPU core, and starts the gateway flash burning tool. The software part extracts the characteristics of wireless sensor networks, and adjusts the layout of gateway and relay nodes based on the micro service architecture. Combined with the means of multi hop routing, set the grid spacing in the space, design a new address mapping layer according to the unidirectional transmission channel of communication data, and set the data communication standard of software application layer. The test results show that the average CPU occupation percentage of the designed WSN gateway node is 47.54%, which indicates that the designed WSN gateway node has more comprehensive functions after integrating the micro service architecture.

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Section: Extracting Features Of Wireless Sensor Networkmentioning

confidence: 99%

Design of gateway nodes for wireless sensor networks based on microservice architecture

Lin

Fan

Liu

et al. 2023

Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022)

View full text Add to dashboard Cite

show abstract

“…This method improves network efficiency by increasing resource utilization [112]. Another method of optimizing the data routing is done by [113]. It was emphasized that with the proposed method, it is possible to increase the transfer speed with minimum routing, and at the same time, it is possible to improve the throughput rate and provide security significantly.…”

Section: Networking Layermentioning

confidence: 99%

Analysis of factors affecting IoT-based smart hospital design

2020

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Currently, rapidly developing digital technological innovations affect and change the integrated information management processes of all sectors. The high efficiency of these innovations has inevitably pushed the health sector into a digital transformation process to optimize the technologies and methodologies used to optimize healthcare management systems. In this transformation, the Internet of Things (IoT) technology plays an important role, which enables many devices to connect and work together. IoT allows systems to work together using sensors, connection methods, internet protocols, databases, cloud computing, and analytic as infrastructure. In this respect, it is necessary to establish the necessary technical infrastructure and a suitable environment for the development of smart hospitals. This study points out the optimization factors, challenges, available technologies, and opportunities, as well as the system architecture that come about by employing IoT technology in smart hospital environments. In order to do that, the required technical infrastructure is divided into five layers and the system infrastructure, constraints, and methods needed in each layer are specified, which also includes the smart hospital’s dimensions and extent of intelligent computing and real-time big data analytic. As a result of the study, the deficiencies that may arise in each layer for the smart hospital design model and the factors that should be taken into account to eliminate them are explained. It is expected to provide a road map to managers, system developers, and researchers interested in optimization of the design of the smart hospital system.

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Optimized Load Centroid and Rabin Onion Secured Routing in Wireless Sensor Network for IoT

Cited by 2 publications

References 16 publications

Design of gateway nodes for wireless sensor networks based on microservice architecture

Design of gateway nodes for wireless sensor networks based on microservice architecture

Analysis of factors affecting IoT-based smart hospital design

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