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SWARM-based data delivery in Social Internet of Things
Date
2019-03-01
Author
Hasan, Mohammed Zaki
Al-Turjman, Fadi
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Social Internet of Things (SIoTs) refers to the rapidly growing network of connected objects and people that are able to collect and exchange data using embedded sensors. To guarantee the connectivity among these objects and people, fault tolerance routing has to be significantly considered. In this paper, we propose a bio-inspired particle multi-swarm optimization (PMSO) routing algorithm to construct, recover and select k-disjoint paths that tolerates the failure while satisfying quality of service (QoS) parameters. Multi-swarm strategy enables determining the optimal directions in selecting the multipath routing while exchanging messages from all positions in the network. The validity of the proposed algorithm is assessed and results demonstrate high-quality solutions compared with the canonical particle swarm optimization (CPSO), and fully particle multi-swarm optimization (FPMSO).
Subject Keywords
Computer Networks and Communications
,
Hardware and Architecture
,
Software
URI
https://hdl.handle.net/11511/65117
Journal
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
DOI
https://doi.org/10.1016/j.future.2017.10.032
Collections
Engineering, Article