On the Tradeoff Between Network Lifetime and k-Connectivity-Based Reliability in UWSNs

Underwater wireless sensor networks (UWSNs) are utilized for a wide range of monitoring and surveillance applications. Lifetime maximization and maintenance of network reliability are among the most important considerations in the deployment of UWSNs. k -connectivity is a robust approach for reinfo...

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Bibliographic Details
Published in:IEEE internet of things journal 2022-12, Vol.9 (23), p.24444-24452
Main Authors: Cobanlar, Muhammed, Yildiz, Huseyin Ugur, Akram, Vahid Khalilpour, Dagdeviren, Orhan, Tavli, Bulent
Format: Article
Language:English
Subjects:
Connectivity
Costs
Energy dissipation
Internet of Things
k-connectivity
Maintenance engineering
mixed-integer linear programming (MILP)
network lifetime (NLT)
Network reliability
Optimization
Optimization models
Reliability
Sensors
Symbols
Tradeoffs
underwater wireless sensor networks (UWSNs)
Wireless networks
Wireless sensor networks
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Summary:Underwater wireless sensor networks (UWSNs) are utilized for a wide range of monitoring and surveillance applications. Lifetime maximization and maintenance of network reliability are among the most important considerations in the deployment of UWSNs. k -connectivity is a robust approach for reinforcing reliability. However, maintaining k disjoint paths from each sensor node to the BS, inevitably, results in extra energy dissipation, which reduces the network lifetime (NLT). Yet, there is no systematic exploration to determine the extent of lifetime reduction due to the increase in the k value, in the literature, to the best of our knowledge. In this study, we create an optimization framework to be able to explore the tradeoff between NLT and k -connectivity-based reliability in UWSNs. Through the optimal solutions of the proposed optimization model for a large set of salient parameters, we characterize the interplay between lifetime and k -connectivity. Our analysis reveals that the k value to be maintained in a UWSN can affect the NLT significantly.
ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2022.3188558