Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/12715
Title: Mitigating Energy Cost of Connection Reliability in UWSNs Through Non-Uniform K-Connectivity
Authors: Karagul, Cagla Tantur
Akgün, Mehmet Burak
Yildiz, Huseyin Ugur
Tavli, Bülent
Keywords: K-Connectivity
Mixed-Integer Linear Programming
Network Lifetime
Reliability
Underwater Wireless Sensor Networks
Combinatorial Optimization
Costs
Reliability Analysis
Sensor Nodes
Connection Reliability
Energy Cost
Integer Linear Programming
K-Connectivity
K-Value
K-Values
Mixed Integer Linear
Network Lifetime
Non-Uniform
Underwater Wireless Sensor Networks
Integer Programming
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: Underwater sensing via networked platforms (i.e., underwater wireless sensor networks - UWSNs) is extremely useful in a plethora of applications such as monitoring underwater assets and surveillance against submerged threats. Maintaining reliable connectivity is of utmost importance in UWSNs, which can be achieved through k-connectivity (i.e., each sensor node maintains at least k node-disjoint paths towards the base station - BS). However, the energy cost of k-connectivity is prohibitively high, especially with large k values. As a tradeoff, it is possible to mitigate the extra energy cost of k-connectivity by employing a non-uniform k assignment strategy in a UWSN (e.g., only the most critical sensors have high k values whereas the rest of the nodes have lower k values). Non-uniform k-connectivity is a novel concept which has never been systematically investigated in the literature, to the best of our knowledge. In this study, we investigate the tradeoff between network lifetime (NetL) and reliability via non-uniform k-connectivity through the use of a novel optimization framework. Our analysis reveal that it is possible to provide strong connection reliability to critical nodes by adopting a non-uniform k-connectivity strategy without deteriorating network lifetime significantly. © 2025 Elsevier B.V., All rights reserved.
URI: https://doi.org/10.1109/JIOT.2025.3603829
https://hdl.handle.net/20.500.11851/12715
ISBN: 9781728176055
ISSN: 2327-4662
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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