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Network Lifetime Maximization in Wireless Mesh Networks for Machine-to-Machine Communication

Fitzgerald, Emma LU ; Pióro, Michał and Tomaszewski, Artur (2019) In Ad Hoc Networks
Abstract (Swedish)
In this paper we present new optimization formulations for maximizing the network lifetime in wireless mesh networks performing data aggregation and dissemination for machine-to- machine communication in the Internet of Things. We focus on heterogeneous networks in which multiple applications co-exist and nodes may take on different roles for different applications. Moreover, we address network reconfiguration as a means to increase the network lifetime, in keeping with the current trend towards software defined networks and network function virtualization. To test our optimization formulations, we conducted a numerical study using randomly generated mesh networks from 10 to 30 nodes, and showed that the network lifetime can be increased... (More)
In this paper we present new optimization formulations for maximizing the network lifetime in wireless mesh networks performing data aggregation and dissemination for machine-to- machine communication in the Internet of Things. We focus on heterogeneous networks in which multiple applications co-exist and nodes may take on different roles for different applications. Moreover, we address network reconfiguration as a means to increase the network lifetime, in keeping with the current trend towards software defined networks and network function virtualization. To test our optimization formulations, we conducted a numerical study using randomly generated mesh networks from 10 to 30 nodes, and showed that the network lifetime can be increased using network reconfiguration by up to 75% over a single, minimal-energy configuration. Further, our solutions are feasible to implement in practical scenarios: only few configurations are needed, thus requiring little storage for a standalone network, and the synchronization and signalling needed to switch configurations is low relative to each configuration’s operating time. (Less)
Abstract
In this paper we present new optimization formulations for maximizing the network lifetime in wireless mesh networks performing data aggregation and dissemination for machine-to-machine communication in the Internet of Things. We focus on heterogeneous networks in which multiple applications co-exist and nodes may take on different roles for different applications. Moreover, we address network reconfiguration as a means to increase the network lifetime, in keeping with the current trend towards software defined networks and network function virtualization. To test our optimization formulations, we conducted a numerical study using randomly-generated mesh networks from 10 to 30 nodes, and showed that the network lifetime can be increased... (More)
In this paper we present new optimization formulations for maximizing the network lifetime in wireless mesh networks performing data aggregation and dissemination for machine-to-machine communication in the Internet of Things. We focus on heterogeneous networks in which multiple applications co-exist and nodes may take on different roles for different applications. Moreover, we address network reconfiguration as a means to increase the network lifetime, in keeping with the current trend towards software defined networks and network function virtualization. To test our optimization formulations, we conducted a numerical study using randomly-generated mesh networks from 10 to 30 nodes, and showed that the network lifetime can be increased using network reconfiguration by up to 75% over a single, minimal-energy configuration. Further, our solutions are feasible to implement in practical scenarios: only few configurations are needed, thus requiring little storage for a standalone network, and the synchronization and signalling needed to switch configurations is low relative to each configuration’s operating time. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Ad Hoc Networks
publisher
Elsevier
external identifiers
  • scopus:85070886635
ISSN
1570-8705
DOI
10.1016/j.adhoc.2019.101987
language
English
LU publication?
yes
id
6815a1ca-ab08-4603-89cc-a9f5352701e9
date added to LUP
2019-08-14 11:14:15
date last changed
2019-09-15 05:21:18
@article{6815a1ca-ab08-4603-89cc-a9f5352701e9,
  abstract     = {In this paper we present new optimization formulations for maximizing the network lifetime in wireless mesh networks performing data aggregation and dissemination for machine-to-machine communication in the Internet of Things. We focus on heterogeneous networks in which multiple applications co-exist and nodes may take on different roles for different applications. Moreover, we address network reconfiguration as a means to increase the network lifetime, in keeping with the current trend towards software defined networks and network function virtualization. To test our optimization formulations, we conducted a numerical study using randomly-generated mesh networks from 10 to 30 nodes, and showed that the network lifetime can be increased using network reconfiguration by up to 75% over a single, minimal-energy configuration. Further, our solutions are feasible to implement in practical scenarios: only few configurations are needed, thus requiring little storage for a standalone network, and the synchronization and signalling needed to switch configurations is low relative to each configuration’s operating time.},
  articleno    = {101987},
  author       = {Fitzgerald, Emma and Pióro, Michał and Tomaszewski, Artur},
  issn         = {1570-8705},
  language     = {eng},
  publisher    = {Elsevier},
  series       = {Ad Hoc Networks},
  title        = {Network Lifetime Maximization in Wireless Mesh Networks for Machine-to-Machine Communication},
  url          = {http://dx.doi.org/10.1016/j.adhoc.2019.101987},
  year         = {2019},
}