Analysis and Comparison of Sensor Node Scheduling Heuristic for WSN and Energy Harvesting WSN

Gupta, Sakar; Gupta, Shagun

doi:10.1007/978-981-13-8406-6_14

Cited by 7 publications

(2 citation statements)

References 8 publications

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“…Energy harvesting WSN can also be used for increasing the lifetime of sensor nodes. Analysis and assessment of sensor node scheduling heuristic for WSN and energy harvesting WSN is given in (6). Comparative analysis of energy consumption in different sensor node scheduling heuristics in WSN is given in (7).…”

Section: Iot Sensors Typesmentioning

confidence: 99%

IoT, Enabling Technologies, and Sensor Node Deployment Pattern in WSN

Gupta¹,

Nawal²,

Janu³

et al. 2022

ECS Trans.

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In Internet of Things (IoT), various computing devices and mechanical and digital machines are interconnected. These devices have unique identifiers (UIDs) and transmit the information on the network with no human interaction. Sensors are the integrated part in IoT as these are used to collect the data. The IoT technologies have a lot of issues like addressing problems, scalability problems, security, and standardization issues that required to be solved. In this paper, the authors facilitate the reader to have necessary understanding of IoT, importance on protocols, technologies, application related issues, various types of sensors used in IoT, new generation of alternative sensors for IoT, and the issues which needs to resolved for the future. A depth overview of 5G IoT systems is also given. The five layers in 5G IoT systems and empowering technologies associated with it are discussed. A comparative analysis of QC-PC-MCSC for strip based deployment pattern and for random deployment is given. This paper provides a support to academician about the working of diverse protocols, relation between IoT and other emergent technologies together with big data and cloud, energy efficiency based on sensor node deployment pattern, etc.

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Section: Iot Sensors Typesmentioning

confidence: 99%

IoT, Enabling Technologies, and Sensor Node Deployment Pattern in WSN

Gupta¹,

Nawal²,

Janu³

et al. 2022

ECS Trans.

View full text Add to dashboard Cite

show abstract

“…The design of S-MAC-based energy harvesting wireless sensor networks incorporate solar energy harvesting model into S-MAC. The network throughput increases with increase of duty-cycle and degrades overtime due to collision probability [20] A comparative analysis of ambient energy harvesting techniques is represented in [21]. The authors also proposed a Modified QC-MCSC in order to improve the coverage of EH-nodes as compared to battery powered nodes.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-Source Hybrid Energy Harvesting Wireless Sensor Network Framework for Addressing Energy Unpredictability Issues

Paul

Pandey

2021

JERA

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Energy harvesting wireless sensor network (EH-WSN) harvests energy from the environment to supply power to the sensor nodes which apparently enhances their lifetime. However, the unpredictable nature of the resources throws challenges to the sustainability of energy supply for the continuous network operation. This creates a gap between unstable energy harvesting rates & energy requirements of the nodes of the network. The state-of-the-art algorithms proposed so far to address this problem domain are not able to bridge the gap fully to standardize the framework. Hence there is considerable scope of research to create a trade-off between EH techniques and specially designed protocols for in EH-WSN. Current study evaluates the performance and efficiency of some futuristic techniques which incorporate advanced tools and algorithms. The study aims to identify the strength and weaknesses of the proposed techniques which can emerge specific research requirement in this field. Finally, we propose a research direction towards Multi-source Hybrid EH-WSN (MHEHWSN) which is able to maximize energy availability and functional efficiency. The scope of this study is to develop a notion of a framework which eliminates the limitations of very recent techniques of EH-WSN by including multiple energy resources to extract required energy even in presence of unpredictability. However, keeping in mind the ease of use and less complex structure Multi-source hybrid EH technique requires a careful design paradigm.

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Ambient self-powered cluster-based wireless sensor networks for industry 4.0 applications

Haque

Baroudi

2020

Soft Comput

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Analysis and Comparison of Sensor Node Scheduling Heuristic for WSN and Energy Harvesting WSN

Cited by 7 publications

References 8 publications

IoT, Enabling Technologies, and Sensor Node Deployment Pattern in WSN

IoT, Enabling Technologies, and Sensor Node Deployment Pattern in WSN

Multi-Source Hybrid Energy Harvesting Wireless Sensor Network Framework for Addressing Energy Unpredictability Issues

Ambient self-powered cluster-based wireless sensor networks for industry 4.0 applications

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