Wireless Sensor‐based
            <scp>IoT</scp>
            System with Distributed Optimization for Healthcare

Anand, Rohit; Pandey, Digvijay; Gupta, Deena N.; Dharani, M.K.; Sindhwani, Nidhi; Ramesh, J.V.N.

doi:10.1002/9781394188093.ch16

Cited by 6 publications

References 47 publications

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An efficient security and privacy approach for internet of vehicles in vehicular networks for smart cities

Kariri

2024

Internet Technology Letters

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Intelligent sensing plays a crucial role in making vehicles safe and trouble‐free. The purpose of this paper is to introduce Vehicular Sensor Networks (VSNs) in a vehicular IoT‐based smart city paradigm, focusing on security. Furthermore, we discuss the robustness and reliability of VSN. In this design, Ad hoc On‐Demand Distance Vector (AODV) routing‐based Internet of Vehicles is integrated with a privacy‐aware secure ant colony optimization for smart cities in which suspicious vehicles are prevented from disseminating messages. IoV real‐time communication emphasizes data security. A comparison of experimental results shows that the proposed approach outperforms existing approaches. Smart city communication networks can be optimized using the proposed model.

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An efficient security and privacy approach for internet of vehicles in vehicular networks for smart cities

Kariri

2024

Internet Technology Letters

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IQL‐OCDA: An intelligent Q‐learning‐based for optimal clustering and data‐aggregation for wireless sensor networks

Aledaily

2024

Internet Technology Letters

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Wireless sensor networks (WSNs) can suffer from low battery life due to the energy consumption of the routing protocol. Small sensor nodes are often difficult to recharge after deployment. In a WSN, data aggregation is generally used to reduce or eliminate data redundancy between nodes in order to save energy. In the proposed algorithm, sensor nodes are deployed in appropriate clusters and cluster heads are elected using Q‐learning techniques. Nodes are clustered based on the mean values computed during the clustering phase. Lastly, a performance evaluation and comparison of existing clustering algorithms are performed based on Intelligent Q‐learning. The proposed IQL‐OCDA model reduces end‐to‐end delay by 10.11%, increases throughput by 4.15%, and increases network lifetime by 5.1%.

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Analysing the Impact of Moonlighting and Digital Transformation on Organizational Growth: A Comprehensive Review

Saini,

Kaur

2024

Lecture Notes in Networks and Systems

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Wireless Sensor‐based IoT System with Distributed Optimization for Healthcare

Cited by 6 publications

References 47 publications

An efficient security and privacy approach for internet of vehicles in vehicular networks for smart cities

An efficient security and privacy approach for internet of vehicles in vehicular networks for smart cities

IQL‐OCDA: An intelligent Q‐learning‐based for optimal clustering and data‐aggregation for wireless sensor networks

Analysing the Impact of Moonlighting and Digital Transformation on Organizational Growth: A Comprehensive Review

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