Enhancing Performance of Face Detection in Visual Sensor Networks with a Dynamic-based Approach

Najjar-Ghabel, Samad; Yousefi, Shamim

doi:10.1007/s11277-017-4832-9

Cited by 8 publications

(2 citation statements)

References 31 publications

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“…This can ultimately improve the overall lifetime of IoT devices by conserving their battery life. Additionally, aggregating data on the server side can also help to reduce the amount of data that needs to be stored and processed, which can further improve network efficiency [37].…”

Section: E Client-server-based Data Aggregation Mechanismsmentioning

confidence: 99%

Data Aggregation Techniques and Challenges in the Internet of Things: A Comprehensive Review

Shaheen,

Jameel

2022

Proceedings of the Eighth International Conference on Research in Intelligent Computing in Engineering

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The Internet of Things (IoT) has revolutionized the way people interact with their environment, generating massive amounts of data from interconnected devices. With the exponential growth of IoT devices, efficient data aggregation techniques are essential for extracting meaningful insights and reducing network traffic. This review paper aims to provide a comprehensive overview of data aggregation techniques in IoT, focusing on their methodologies, advantages, and challenges. The paper begins by discussing the fundamentals of IoT data aggregation. It then categorizes the data aggregation techniques into two main approaches: centralized and distributed. For each approach, various algorithms and protocols are explored, including clustering-based aggregation, tree-based aggregation, and centralized-based aggregation. Furthermore, the paper investigates the trade-offs involved in data aggregation, such as energy consumption, latency, and data accuracy. It examines the impact of different factors, such as data heterogeneity, and security considerations, on the choice of aggregation technique. Furthermore, in this paper researcher discussed the existing techniques, while highlights the emerging trends and future directions in IoT data aggregation. In this review paper we concluded by summarizing the key findings and highlighting the challenges that need to be addressed in the field of IoT data aggregation.

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Section: E Client-server-based Data Aggregation Mechanismsmentioning

confidence: 99%

Data Aggregation Techniques and Challenges in the Internet of Things: A Comprehensive Review

Shaheen,

Jameel

2022

Proceedings of the Eighth International Conference on Research in Intelligent Computing in Engineering

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“…22,23 Furthermore, the WSNs are often applied in harsh and inaccessible environments for a long time to provide the requirements of the applications. 24 It is because there is no possibility of recharging or replacing the batteries of the wireless sensor nodes. For this reason, it can be argued that one of the most important challenges in the WSNs is the extreme energy restriction.…”

Section: Introductionmentioning

confidence: 99%

A review on the applications of multiagent systems in wireless sensor networks

Derakhshan

Yousefi

2019

International Journal of Distributed Sensor Networks

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Nowadays, the efficiency of multiagent systems in wireless sensor networks prompts the researchers to use these emerging mobile software packets in different simulated approaches or real-world applications. Heterogeneous and distributed wireless sensor networks could be integrated with the multiagent systems to map the real-world challenges into the artificial intelligence world. The multiagent systems have been applied from simulated approaches like object detection/ tracking, healthcare, control/assistant, and security systems to real-world applications, including medical/human-care systems and unmanned aerial vehicles. Furthermore, the integration of wireless sensor networks with multiagent systems have emerged novel application, which is known as mobile robots. However, the extensive use of mobile agents in wireless sensor networks has posed different challenges for researchers, including security, resource, and timing limitation. In this work, we review recent simulated approaches and real-world applications of multiagent systems in wireless sensor networks, in which a set of common factors about the things that have been studied are extracted and compared to analyze the performance of mobile agent-based systems in the wireless sensor networks, as well. This analysis provides new research directions about multiagent systems in wireless sensor networks for interested researchers. Finally, a novel framework for dealing with the challenges of multiagent-based applications in the wireless sensor networks which have been mentioned is suggested.

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Applications of Big Data Analytics and Machine Learning in the Internet of Things

Yousefi

Derakhshan

Karimipour

2020

Handbook of Big Data Privacy

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Enhancing Performance of Face Detection in Visual Sensor Networks with a Dynamic-based Approach

Cited by 8 publications

References 31 publications

Data Aggregation Techniques and Challenges in the Internet of Things: A Comprehensive Review

Data Aggregation Techniques and Challenges in the Internet of Things: A Comprehensive Review

A review on the applications of multiagent systems in wireless sensor networks

Applications of Big Data Analytics and Machine Learning in the Internet of Things

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