Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/8892
Title: | On the Trade-off Between Network Lifetime and k-Connectivity Based Reliability in UWSNs | Authors: | Cobanlar M. Yildiz H.U. Akram V.K. Dagdeviren O. Tavli B. |
Keywords: | Costs Internet of Things k-connectivity Maintenance engineering mixed-integer linear programming network lifetime Optimization reliability Reliability Symbols underwater wireless sensor networks Wireless sensor networks Cost engineering Economic and social effects Energy dissipation Integer programming Internet of things Sensor nodes Integer Linear Programming K-connectivity k-Value Mixed integer linear Mixed-integer linear programming Network lifetime Optimisations Symbol Trade off Underwater wireless sensor networks Reliability |
Issue Date: | 2022 | Publisher: | Institute of Electrical and Electronics Engineers Inc. | Abstract: | 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 trade-off 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 inter-play between lifetime and k-connectivity. Our analysis reveals that the k value to be maintained in a UWSN can affect the NLT significantly. IEEE | URI: | https://doi.org/10.1109/JIOT.2022.3188558 https://hdl.handle.net/20.500.11851/8892 |
ISSN: | 2327-4662 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
Show full item record
CORE Recommender
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.