Welcome to the InfoSci Platform
Reference Hub5
Connectivity Estimation Approaches for Internet of Things-Enabled Wireless Sensor Networks

Connectivity Estimation Approaches for Internet of Things-Enabled Wireless Sensor Networks

Zuleyha Akusta Dagdeviren, Vahid Akram
Copyright: © 2022 |Pages: 19
ISBN13: 9781799841869|ISBN10: 1799841863|ISBN13 Softcover: 9781799857167|EISBN13: 9781799841876
DOI: 10.4018/978-1-7998-4186-9.ch006
Cite Chapter Cite Chapter

MLA

Akusta Dagdeviren, Zuleyha, and Vahid Akram. "Connectivity Estimation Approaches for Internet of Things-Enabled Wireless Sensor Networks." Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics, edited by Pelin Yildirim Taser, IGI Global, 2022, pp. 104-122. https://doi.org/10.4018/978-1-7998-4186-9.ch006

APA

Akusta Dagdeviren, Z. & Akram, V. (2022). Connectivity Estimation Approaches for Internet of Things-Enabled Wireless Sensor Networks. In P. Taser (Ed.), Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics (pp. 104-122). IGI Global. https://doi.org/10.4018/978-1-7998-4186-9.ch006

Chicago

Akusta Dagdeviren, Zuleyha, and Vahid Akram. "Connectivity Estimation Approaches for Internet of Things-Enabled Wireless Sensor Networks." In Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics, edited by Pelin Yildirim Taser, 104-122. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-4186-9.ch006

Export Reference

Mendeley
Favorite

Abstract

Internet of things (IoT) envisions a network of billions of devices having various hardware and software capabilities communicating through internet infrastructure to achieve common goals. Wireless sensor networks (WSNs) having hundreds or even thousands of sensor nodes are positioned at the communication layer of IoT. In this study, the authors work on the connectivity estimation approaches for IoT-enabled WSNs. They describe the main ideas and explain the operations of connectivity estimation algorithms in this chapter. They categorize the studied algorithms into two divisions as 1-connectivity estimation algorithms (special case for k=1) and k-connectivity estimation algorithms (the generalized version of the connectivity estimation problem). Within the scope of 1-connectivity estimation algorithms, they dissect the exact algorithms for bridge and cut vertex detection. They investigate various algorithmic ideas for k connectivity estimation approaches by illustrating their operations on sample networks. They also discuss possible future studies related to the connectivity estimation problem in IoT.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.