Protecting Wireless Mesh Networks Against Adverse Weather Conditions
(2018) 10th International Workshop on Resilient Networks Design and Modeling (RNDM)- Abstract
- Adverse weather conditions can cause deterioration of wireless channels, leading to reduced link capacities. Unlike in other types of networks, in radio-based wireless mesh networks, the link capacities depend not only on the prevailing conditions, but also on interfering transmissions, as well as the transmission power and modulation and coding schemes used. This leads to increased difficulty in modelling and mitigating partial link failures, such as those caused by unfavourable weather. In this paper we present optimisation models for reconfiguration of routing and traffic demand volumes in wireless mesh networks, taking into account transmission power and modulation and coding schemes. We consider both a network planning application and... (More)
- Adverse weather conditions can cause deterioration of wireless channels, leading to reduced link capacities. Unlike in other types of networks, in radio-based wireless mesh networks, the link capacities depend not only on the prevailing conditions, but also on interfering transmissions, as well as the transmission power and modulation and coding schemes used. This leads to increased difficulty in modelling and mitigating partial link failures, such as those caused by unfavourable weather. In this paper we present optimisation models for reconfiguration of routing and traffic demand volumes in wireless mesh networks, taking into account transmission power and modulation and coding schemes. We consider both a network planning application and online optimisation in response to failure states as they occur. We conduct a numerical study on a realistic network topology, showing the feasibility of our models for practical implementation. (Less)
- Abstract (Swedish)
- Adverse weather conditions can cause deterioration of wireless channels, leading to reduced link capacities. Unlike in other types of networks, in radio-based wireless mesh networks, the link capacities depend not only on the prevailing conditions, but also on interfering transmissions, as well as the transmission power and modulation and coding schemes used. This leads to increased difficulty in modelling and mitigating partial link failures, such as those caused by unfavourable weather. In this paper we present optimisation models for reconfiguration of routing and traffic demand volumes in wireless mesh networks, taking into account transmission power and modulation and coding schemes. We consider both a network planning application and... (More)
- Adverse weather conditions can cause deterioration of wireless channels, leading to reduced link capacities. Unlike in other types of networks, in radio-based wireless mesh networks, the link capacities depend not only on the prevailing conditions, but also on interfering transmissions, as well as the transmission power and modulation and coding schemes used. This leads to increased difficulty in modelling and mitigating partial link failures, such as those caused by unfavourable weather. In this paper we present optimisation models for reconfiguration of routing and traffic demand volumes in wireless mesh networks, taking into account transmission power and modulation and coding schemes. We consider both a network planning application and online optimisation in response to failure states as they occur. We conduct a numerical study on a realistic network topology, showing the feasibility of our models for practical implementation. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/73af77de-cc7c-4141-b406-25c702610ba2
- author
- Fitzgerald, Emma LU ; Pioro, Michal LU and Tomaszewski, Artur
- organization
- publishing date
- 2018
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2018 10th International Workshop on Resilient Networks Design and Modeling (RNDM)
- pages
- 7 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 10th International Workshop on Resilient Networks Design and Modeling (RNDM)
- conference location
- Longyearbyen, Svalbard and Jan Mayen
- conference dates
- 2018-08-27 - 2018-08-29
- external identifiers
-
- scopus:85056663072
- ISBN
- 978-1-5386-7030-9
- DOI
- 10.1109/RNDM.2018.8489837
- project
- ELLIIT LU P01: WP2 Networking solutions
- language
- English
- LU publication?
- yes
- id
- 73af77de-cc7c-4141-b406-25c702610ba2
- date added to LUP
- 2018-06-08 14:36:03
- date last changed
- 2022-05-03 03:34:20
@inproceedings{73af77de-cc7c-4141-b406-25c702610ba2, abstract = {{Adverse weather conditions can cause deterioration of wireless channels, leading to reduced link capacities. Unlike in other types of networks, in radio-based wireless mesh networks, the link capacities depend not only on the prevailing conditions, but also on interfering transmissions, as well as the transmission power and modulation and coding schemes used. This leads to increased difficulty in modelling and mitigating partial link failures, such as those caused by unfavourable weather. In this paper we present optimisation models for reconfiguration of routing and traffic demand volumes in wireless mesh networks, taking into account transmission power and modulation and coding schemes. We consider both a network planning application and online optimisation in response to failure states as they occur. We conduct a numerical study on a realistic network topology, showing the feasibility of our models for practical implementation.}}, author = {{Fitzgerald, Emma and Pioro, Michal and Tomaszewski, Artur}}, booktitle = {{2018 10th International Workshop on Resilient Networks Design and Modeling (RNDM)}}, isbn = {{978-1-5386-7030-9}}, language = {{eng}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Protecting Wireless Mesh Networks Against Adverse Weather Conditions}}, url = {{https://lup.lub.lu.se/search/files/45736274/paper.pdf}}, doi = {{10.1109/RNDM.2018.8489837}}, year = {{2018}}, }