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A Quantum-Annealing-Based Approach to Optimize the Deployment Cost of a Multi-Sink Multi-Controller WSN
Shahid Bahonar University of Kerman, Iran.
Technical and Vocational University, Karaj Branch, Alborz, Iran.
Sharif University of Technology, Tehran, Iran.
University of Science and Technology, Tehran, Iran.
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(English)In: Procedia Computer Science, ISSN 1877-0509, E-ISSN 1877-0509Article in journal (Refereed) Epub ahead of print
Abstract [en]

Software Defined Networking (SDN) provides network significant reconfiguration capability to Wireless Sensor Networks (WSNs). SDN is a promising technique for WSNs with high scalability and high reliability requirements. In SDN, a set of controller nodes are integrated into the network to advertise routing rules dynamically based on network and link changes. Determining the number and location of both sinks (are in charge of collecting the sensors data) and controller nodes in a WSN subject to both reliability and performance constraints is an important research challenge. In this paper, to address this research challenge, we propose a Quantum Annealing approach that improves the deployment cost of the system by minimizing the number of required sinks and SDN controller nodes. The experiments show that our approach improves the deployment cost of the network against the state-ofthe-art by 10.7% on average.

National Category
Engineering and Technology Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-45036OAI: oai:DiVA.org:mdh-45036DiVA, id: diva2:1345580
Conference
The 16th International Conference on Mobile Systems and Pervasive Computing MobiSPC, 19 Aug 2019, Halifax, Canada
Projects
Future factories in the CloudMobiFog: mobility management in Fog-assisted IoT networksHealth5G: Future eHealth powered by 5GFlexiHealth: flexible softwarized networks for digital healthcareAvailable from: 2019-08-26 Created: 2019-08-26 Last updated: 2019-08-26Bibliographically approved

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