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Indushree Banerjee
Delft University of Technology
Corresponding Author
ORCiD: https://orcid.org/0000-0002-8347-8303
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When physical communication network infrastructures fail, infrastructure-less communication networks such as mobile ad-hoc networks (MANET), can provide an alternative. This, however, requires MANETs to be adaptable to dynamic contexts characterized by the changing density and mobility of devices and availability of energy sources. To address this challenge, this paper proposes a decentralized context-adaptive topology control protocol. The protocol consists of three algorithms and uses preferential attachment based on the energy availability of devices to form a loop-free scale-free adaptive topology for an ad-hoc communication network.
The proposed protocol has a number of advantages. First, it is adaptive to the environment, hence applicable in scenarios where the number of participating mobile devices and their availability of energy resources is always changing. Second, it is energy-efficient through changes in the topology. This means it can be flexibly be combined with different routing protocols. Third, the protocol requires no changes on the hardware level. This means it can be implemented on all current phones, without any recalls or investments in hardware changes.
The evaluation of the protocol in a simulated environment confirms the feasibility of creating and maintaining a self-adaptive ad-hoc communication network, consisting of multitudes of mobile devices for reliable communication in a dynamic context.
Keywords
Mobile ad-hoc networks, Topology control and management, Preferential attachment, Context-adaptive, self-adaptive, self-organized, Energy efficiency
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View the published article at Complex Adaptive Systems Modeling.
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Review #2 received
Received 12 Aug, 2020
Editorial decision: Accept
On 12 Aug, 2020
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Received 06 Aug, 2020
Reviewer #2 agreed
On 03 Aug, 2020
Reviewers invited
Invitations sent on 02 Aug, 2020
Reviewer #1 agreed
On 02 Aug, 2020
Editor assigned
On 01 Aug, 2020
Submission checks complete
On 31 Jul, 2020
Editor invited
On 31 Jul, 2020
Version 1
Posted 12 Mar, 2020
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Review #2 received
Received 04 Jul, 2020
Editorial decision: Major revision
On 04 Jul, 2020
Review #1 received
Received 19 Apr, 2020
Reviewer #3 agreed
On 29 Mar, 2020
Reviewers invited
Invitations sent on 23 Mar, 2020
Reviewer #1 agreed
On 23 Mar, 2020
Reviewer #2 agreed
On 23 Mar, 2020
Editor assigned
On 07 Mar, 2020
Submission checks complete
On 06 Mar, 2020
Editor invited
On 06 Mar, 2020
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See the published version of this preprint at Complex Adaptive Systems Modeling.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research
Indushree Banerjee
Delft University of Technology
Corresponding Author
ORCiD: https://orcid.org/0000-0002-8347-8303
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at Complex Adaptive Systems Modeling.
No community comments so far
Review #2 received
Received 12 Aug, 2020
Editorial decision: Accept
On 12 Aug, 2020
Review #1 received
Received 06 Aug, 2020
Reviewer #2 agreed
On 03 Aug, 2020
Reviewers invited
Invitations sent on 02 Aug, 2020
Reviewer #1 agreed
On 02 Aug, 2020
Editor assigned
On 01 Aug, 2020
Submission checks complete
On 31 Jul, 2020
Editor invited
On 31 Jul, 2020
Version 1
Posted 12 Mar, 2020
No comments provided
Review #2 received
Received 04 Jul, 2020
Editorial decision: Major revision
On 04 Jul, 2020
Review #1 received
Received 19 Apr, 2020
Reviewer #3 agreed
On 29 Mar, 2020
Reviewers invited
Invitations sent on 23 Mar, 2020
Reviewer #1 agreed
On 23 Mar, 2020
Reviewer #2 agreed
On 23 Mar, 2020
Editor assigned
On 07 Mar, 2020
Submission checks complete
On 06 Mar, 2020
Editor invited
On 06 Mar, 2020
First submitted
On 05 Mar, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at Complex Adaptive Systems Modeling.
When physical communication network infrastructures fail, infrastructure-less communication networks such as mobile ad-hoc networks (MANET), can provide an alternative. This, however, requires MANETs to be adaptable to dynamic contexts characterized by the changing density and mobility of devices and availability of energy sources. To address this challenge, this paper proposes a decentralized context-adaptive topology control protocol. The protocol consists of three algorithms and uses preferential attachment based on the energy availability of devices to form a loop-free scale-free adaptive topology for an ad-hoc communication network.
The proposed protocol has a number of advantages. First, it is adaptive to the environment, hence applicable in scenarios where the number of participating mobile devices and their availability of energy resources is always changing. Second, it is energy-efficient through changes in the topology. This means it can be flexibly be combined with different routing protocols. Third, the protocol requires no changes on the hardware level. This means it can be implemented on all current phones, without any recalls or investments in hardware changes.
The evaluation of the protocol in a simulated environment confirms the feasibility of creating and maintaining a self-adaptive ad-hoc communication network, consisting of multitudes of mobile devices for reliable communication in a dynamic context.
Figure 1
Figure 2
Figure 3
Figure 4
The full text of this article is available to read as a PDF.
This is a list of supplementary files associated with this preprint. Click to download.
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