University of Bahrain
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Decentralized service discovery and localization in Internet of Things applications based on ant colony algorithm

Show simple item record BENSALAH AZIZOU, Zahia BOUDRIES, Abdelmalek AMAD, Mourad 2020-07-14T14:36:47Z 2020-07-14T14:36:47Z 2020-09-01
dc.identifier.issn 2210-142X
dc.description.abstract Internet of things is a technological revolution, it allows heterogeneous and smart objects to connect to the Internet, and then communicate and exchange the information between them. Emerging applications and services in the Internet of Things provided by different objects need a service discovery mechanism used by objects. However, the lookup of a desired service is quite challenging difficult, many centralized and distributed service discovery approaches have been investigated. Therefore, in this paper, we propose a new distributed discovering algorithm based on Ant Colony Algorithm (ACA) for IoT. ACA is a metaheuristic algorithm inspired by nature, to solve combinatorial optimization problem. To show the effective performance of ACA algorithm in accurate discovering of services, simulation results indicate that the proposed approach has a good performance with reduced number of hops used to discover services and can achieve a high discovery success rate. Our approach maintains their performance, even in a large scale network. en_US
dc.language.iso en en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri *
dc.subject Decentralized service discovery, Internet of Things, Ant Colony lgorithm (ACA) en_US
dc.title Decentralized service discovery and localization in Internet of Things applications based on ant colony algorithm en_US
dc.type Article en_US
dc.volume 9 en_US
dc.issue 5
dc.pagestart 941 en_US
dc.pageend 950 en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US

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