Performance analysis of connectivity and localization in multi-hop underwater optical wireless sensor networks
Performance analysis of connectivity and localization in multi-hop underwater optical wireless sensor networks
Underwater optical wireless links have limited range and intermittent connectivity due to the hostile aquatic channel impairments and misalignment between the optical transceivers. Therefore, multi-hop communication can expand the communication range, enhance network connectivity, and provide a more precise network localization scheme. In this regard, this paper investigates the connectivity of underwater optical wireless sensor networks (UOWSNs) and its impacts on the network localization performance. First, we model UOWSNs as randomly scaled sector graphs where the connection between sensors is established by point-to-point directed links. Thereafter, the probability of network connectivity is analytically derived as a function of network density, communication range, and optical transmitters' divergence angle. Second, the network localization problem is formulated as an unconstrained optimization problem and solved using the conjugate gradient technique. Numerical results show that different network parameters such as the number of nodes, divergence angle, and transmission range significantly influence the probability of a connected network. Furthermore, the performance of the proposed localization technique is compared to well-known network localization schemes and the results show that the localization accuracy of the proposed technique outperforms the literature in terms of network connectivity, ranging error, and number of anchors.
connectivity, network localization, sector graphs, Underwater optical wireless sensor networks
2604-2615
Saeed, Nasir
1a8fe222-ce62-48df-b04a-96ed8760e0a1
Celik, Abdulkadir
f8e72266-763c-4849-b38e-2ea2f50a69d0
Alouini, Mohamed Slim
3ccd5915-318e-4f4b-b47a-48257ab4c0eb
Al-Naffouri, Tareq Y.
e4ec48c1-9987-49cd-b3ef-4942a3a3483e
1 November 2019
Saeed, Nasir
1a8fe222-ce62-48df-b04a-96ed8760e0a1
Celik, Abdulkadir
f8e72266-763c-4849-b38e-2ea2f50a69d0
Alouini, Mohamed Slim
3ccd5915-318e-4f4b-b47a-48257ab4c0eb
Al-Naffouri, Tareq Y.
e4ec48c1-9987-49cd-b3ef-4942a3a3483e
Saeed, Nasir, Celik, Abdulkadir, Alouini, Mohamed Slim and Al-Naffouri, Tareq Y.
(2019)
Performance analysis of connectivity and localization in multi-hop underwater optical wireless sensor networks.
IEEE Transactions on Mobile Computing, 18 (11), , [8515089].
(doi:10.1109/TMC.2018.2878672).
Abstract
Underwater optical wireless links have limited range and intermittent connectivity due to the hostile aquatic channel impairments and misalignment between the optical transceivers. Therefore, multi-hop communication can expand the communication range, enhance network connectivity, and provide a more precise network localization scheme. In this regard, this paper investigates the connectivity of underwater optical wireless sensor networks (UOWSNs) and its impacts on the network localization performance. First, we model UOWSNs as randomly scaled sector graphs where the connection between sensors is established by point-to-point directed links. Thereafter, the probability of network connectivity is analytically derived as a function of network density, communication range, and optical transmitters' divergence angle. Second, the network localization problem is formulated as an unconstrained optimization problem and solved using the conjugate gradient technique. Numerical results show that different network parameters such as the number of nodes, divergence angle, and transmission range significantly influence the probability of a connected network. Furthermore, the performance of the proposed localization technique is compared to well-known network localization schemes and the results show that the localization accuracy of the proposed technique outperforms the literature in terms of network connectivity, ranging error, and number of anchors.
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Published date: 1 November 2019
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Publisher Copyright:
© 2018 IEEE.
Keywords:
connectivity, network localization, sector graphs, Underwater optical wireless sensor networks
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Local EPrints ID: 504473
URI: http://eprints.soton.ac.uk/id/eprint/504473
ISSN: 1536-1233
PURE UUID: 617f0722-25a9-4f51-b6b8-03d5a1d5dace
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Date deposited: 09 Sep 2025 20:09
Last modified: 10 Sep 2025 13:50
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Contributors
Author:
Nasir Saeed
Author:
Abdulkadir Celik
Author:
Mohamed Slim Alouini
Author:
Tareq Y. Al-Naffouri
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