Evaluation of cluster formation algorithm in large scale wireless sensor network

Dragana, Cristian; Stâmâtescu, Grigore; Mihai, Viorel; Popescu, Dan

doi:10.1109/idaacs.2017.8095209

Cited by 6 publications

(2 citation statements)

References 7 publications

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“…The suggested technique demonstrated consistent performance in balancing energy dissipation among WSN sensor nodes while also extending the wireless sensor network's life. Dragana et al [39] was suitable for complete region surveillance and developed for an incorporated unmanned aerial vehicles-WSN (UAV-WSN) system. In this scheme, the cluster design system was evaluated based on different sizes of wireless sensor networks.…”

Section: Methodsmentioning

confidence: 99%

Improved cluster to normal ratio protocol for increasing the lifetime of wireless sensor networks

Martey

Esenogho

2022

IJEECS

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<span>The wireless sensor network (WSN) is a decentralized network that allows sensor nodes to freely join and quit the network, making it a unique network type that varies from centralized systems in which the fusion center decides on entry and exit. However, one of the key drawbacks of these networks is that the sensor nodes are small and located in remote areas. As a result, energy usage must be efficiently managed. In order to limit energy consumption, an efficient clustering protocol approach is necessary, which may be performed by dividing the networks into clusters and selecting cluster heads depending on the remaining energy and sensor distance. The energy hole problem has an impact on the performance of an energy-efficient technique. As a result, this work aims to extend the lifespan of WSNs, the goal of this research is to make the cluster to normal ratio (CTNR) Protocol better. Data forwarding nodes are added to the CTNR protocol hierarchy to enable hopping and avoid consuming nodes in order to solve the energy hole problem (sink). The proposed method is implemented in Matlab, and the results are compared to literature on energy usage and the amount of dead and living nodes. In terms of the performance indicators given, the results reveal that our proposed scheme beat others.</span>

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Section: Methodsmentioning

confidence: 99%

Improved cluster to normal ratio protocol for increasing the lifetime of wireless sensor networks

Martey

Esenogho

2022

IJEECS

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“…Enabling advanced data processing in the form of sensor fusion and clustering mechanisms for improved network topologies in generic applications has been discussed [30]. Effective data gathering mechanisms [33] and higher level IoT architectures [34] are key and current topics of interest.…”

Section: Introductionmentioning

confidence: 99%

Advanced UAV–WSN System for Intelligent Monitoring in Precision Agriculture

Popescu

Stoican

Stâmâtescu

et al. 2020

Sensors

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183

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The growing need for food worldwide requires the development of a high-performance, high-productivity, and sustainable agriculture, which implies the introduction of new technologies into monitoring activities related to control and decision-making. In this regard, this paper presents a hierarchical structure based on the collaboration between unmanned aerial vehicles (UAVs) and federated wireless sensor networks (WSNs) for crop monitoring in precision agriculture. The integration of UAVs with intelligent, ground WSNs, and IoT proved to be a robust and efficient solution for data collection, control, analysis, and decisions in such specialized applications. Key advantages lay in online data collection and relaying to a central monitoring point, while effectively managing network load and latency through optimized UAV trajectories and in situ data processing. Two important aspects of the collaboration were considered: designing the UAV trajectories for efficient data collection and implementing effective data processing algorithms (consensus and symbolic aggregate approximation) at the network level for the transmission of the relevant data. The experiments were carried out at a Romanian research institute where different crops and methods are developed. The results demonstrate that the collaborative UAV–WSN–IoT approach increases the performances in both precision agriculture and ecological agriculture.

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WSN and Fog Computing Integration for Intelligent Data Processing

Mihai

Hanganu

Stâmâtescu

et al. 2018

2018 10th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)

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Networked embedded systems endowed with sensing, computing, control and communication capabilities allow the development of various application scenarios and represent the building blocks of the Internet of Things (IoT) paradigm. Traditional data collection methods include multiple field level IoT systems that can relay data stemming from a network of distributed ground sensors directly to a cloud platform for storage, analysis and processing. In such applications however, rapid sensor deployment in unstructured environments represents a challenge to the overall robustness of the system. We discuss the fog and mist computing approaches to hierarchically process data along its path from source to destination. The several stages of intermediate data processing reduce the computational and communication effort in a gradual manner. A three-layer topology for smart data monitoring and processing is thus proposed and illustrated to improve the information to noise ratio in a reference scenario.

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Evaluation of cluster formation algorithm in large scale wireless sensor network

Cited by 6 publications

References 7 publications

Improved cluster to normal ratio protocol for increasing the lifetime of wireless sensor networks

Improved cluster to normal ratio protocol for increasing the lifetime of wireless sensor networks

Advanced UAV–WSN System for Intelligent Monitoring in Precision Agriculture

WSN and Fog Computing Integration for Intelligent Data Processing

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