Optimization Based Multi-Objective Weighted Clustering For Remote Monitoring System in WSN

Thekkil, Tibin Mathew; Prabakaran, N.

doi:10.1007/s11277-020-07874-2

Cited by 8 publications

(2 citation statements)

References 29 publications

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“…Therefore, the focus services are cancer care services, business analysis/cloud services, operation services and disaster services respectively [10] [11]. IOT Development has found significant application mainly in medical and multimedia applications [12]. Grid optimization has led to energy savings and the promotion of electrical safety through route performance.…”

Section: Introductionmentioning

confidence: 99%

“…IOT describes the concept of the Internet from computers, home IOT appliances, home electronics, or WSN sensor nodes. The ability to connect with other members of the WSN-IOT is beyond remote access, as multimedia models can collaborate with each other to provide a shared service [15] [16]. Smart City, IOT Special Edition focuses on a range of aspects of developments in Smart City and IOT.…”

Section: Introductionmentioning

confidence: 99%

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OQR-SC: An Optimal QoS Aware Routing Technique for Smart Cities Using IoT Enabled Wireless Sensor Networks

Karunkuzhali¹,

Meenakshi²,

Lingam

2022

Wireless Pers Commun

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Internet of things (IoT) makes a machines optimization in everyday which processing the data by very intelligently and make communication more effectively and efficiently.However, in order to decrease the harm of IoT, nearby is angrowinglonging to move en route for green IoT which is environmentally friendly. In smart city environments, the data collection and communication play an important role in defining quality. Since the research period, it has been recommending a new data acquisition and data communication software framework for IoT smart applications. For further improvements, we recommend an optimal QoS aware routing technique for smart cities using IoT enabled wireless sensor networks (OQR-SC). In data gathering phase, we introduce chaotic bird swarm optimization (CBSO) algorithm for IoT sensor cluster formation; the improved differential search (IDS) algorithm used to estimate the faith degree of each sensor node, the highest trust node act as cluster head (CH). In data transferring phase, we illustrates lightweight signcryption technique for data encryption between two IoT sensors. Then, we use optimal decision making (ODM) algorithm to compute the optimal path between source-destination in IoT platform. Finally, the proposed OQR-SC technique is implemented using network simulation (NS2) tool and analyzes the performance of proposed technique with existing state-of-art techniques.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%