Integration of WSN, IoT and Cloud Computing in Distributed Monitoring System for Aging Persons in Active Life

Chenaru, Oana; Mihai, Viorel; Popescu, Dan; Ichim, Loretta

doi:10.1109/med.2018.8442646

Cited by 6 publications

(2 citation statements)

References 9 publications

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“…A different approach in [8] discusses a novel three-level architecture that integrates WSN, IoT, and cloud computing capabilities. At the bottom, the SPL (Sensor Processing Level) clusters all sensors.…”

Section: Related Workmentioning

confidence: 99%

Improvement of the Secure Integration of IoT and Cloud Computing using Hybrid Encryption

Chahin

Mansour

2022

International Journal of Electrical Engineering and Computer Science

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Wireless Sensor Network (WSN) is an essential technology in many Internet of Things (IoT) applications, and since sensor nodes suffer from limited resources, it has become possible to overcome storage capacity problems using cloud computing, the integration of Internet of Things (IoT) with cloud computing (CC) seeks to achieve new levels of efficiency in service delivery. Security and privacy are key factors that slow down the rapid and widespread adoption and deployment of both IoT and cloud computing. In the proposed model, an integrated IoT system with cloud computing was developed starting from the analysis, and design, to the implementation to connect IoT devices with the cloud, the security is achieved by using a hybrid encryption mechanism which provides the performance advantages of symmetric and asymmetric encryption algorithms. Where the Elliptic Curve Cryptography (ECC) algorithm is used for key generation and AES (Advanced Encryption Standard) algorithm is used for encryption and decryption of the sensors' data to provide a reliable computing environment. We have implemented the proposed system and showed the results of using CONTIKI COOJA 3.0 that connected with the cloud service provider, Evaluate a set of performance metrics such as power consumption, packet delivery ratio, and the algorithm execution time, in addition to verifying network immunity against the black hole attack.

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Section: Related Workmentioning

confidence: 99%

Improvement of the Secure Integration of IoT and Cloud Computing using Hybrid Encryption

Chahin

Mansour

2022

International Journal of Electrical Engineering and Computer Science

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“…It handles the huge amount of raw data (big data) in an accurate manner in order to reduce the computational burden on the upper layer as well as avoid network congestion [14]. This work can be performed by smart IoT devices such as routers, sinks (or base stations), gateways, or servers equipped with strong processing capabilities, big memory, and unlimited power resources [15][16][17]. The networking layer is where the sensor devices can be deployed in the real environment to measure diverse physical phenomena (e.g., temperature, humidity, air pressure, rainfall, etc.)…”

Section: Introductionmentioning

confidence: 99%

EEGT: Energy Efficient Grid-Based Routing Protocol in Wireless Sensor Networks for IoT Applications

et al. 2023

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The Internet of Things (IoT) integrates different advanced technologies in which a wireless sensor network (WSN) with many smart micro-sensor nodes is an important portion of building various IoT applications such as smart agriculture systems, smart healthcare systems, smart home or monitoring environments, etc. However, the limited energy resources of sensors and the harsh properties of the WSN deployment environment make routing a challenging task. To defeat this routing quandary, an energy-efficient routing protocol based on grid cells (EEGT) is proposed in this study to improve the lifespan of WSN-based IoT applications. In EEGT, the whole network region is separated into virtual grid cells (clusters) at which the number of sensor nodes is balanced among cells. Then, a cluster head node (CHN) is chosen according to the residual energy and the distance between the sink and nodes in each cell. Moreover, to determine the paths for data delivery inside the cell with small energy utilization, the Kruskal algorithm is applied to connect nodes in each cell and their CHN into a minimum spanning tree (MST). Further, the ant colony algorithm is also used to find the paths of transmitting data packets from CHNs to the sink (outside cell) to reduce energy utilization. The simulation results show that the performance of EEGT is better than the three existing protocols, which are LEACH-C (low energy adaptive clustering hierarchy), PEGASIS (power-efficient gathering in sensor information systems), and PEGCP (maximizing WSN life using power-efficient grid-chain routing protocol) in terms of improved energy efficiency and extended the lifespan of the network.

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DEW: A New Edge Computing Component for Distributed Dynamic Networks

Cristescu

Dobrescu

Chenaru

et al. 2019

2019 22nd International Conference on Control Systems and Computer Science (CSCS)

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Integration of WSN, IoT and Cloud Computing in Distributed Monitoring System for Aging Persons in Active Life

Cited by 6 publications

References 9 publications

Improvement of the Secure Integration of IoT and Cloud Computing using Hybrid Encryption

Improvement of the Secure Integration of IoT and Cloud Computing using Hybrid Encryption

EEGT: Energy Efficient Grid-Based Routing Protocol in Wireless Sensor Networks for IoT Applications

DEW: A New Edge Computing Component for Distributed Dynamic Networks

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