The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Connectivity Estimation Approaches for Internet of Things-Enabled Wireless Sensor Networks
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.
Related Content
|
Sarika Choudhary, Monika Jyotiyana, Krishna Kumar Sharma.
© 2025.
22 pages.
|
|
Krithikaa Venket, Anju Ambika, Adline R. Freeda.
© 2025.
24 pages.
|
|
Dwijendra Nath Dwivedi, Ghanashyama Mahanty, Varunendra nath Dwivedi.
© 2025.
22 pages.
|
|
Pritish Sinha, Khushi, Arvind Dagur.
© 2025.
22 pages.
|
|
Ruchi Patel, Ashok Kumar Verma, Neelesh Kumar Sahu, Preeti Rai.
© 2025.
36 pages.
|
|
Leena Jenefa, Dr.Karuppasamy Ramanathan, Namita Mishra, Vishnu Vishnu, M. Jayakumar, S. Ashok.
© 2025.
22 pages.
|
|
Raman Ghuman, V. Aravindan, Rajkanwar Singh, P. Anirudh.
© 2025.
18 pages.
|
|
|