SWARM-based data delivery in Social Internet of Things
作者： Mohammed Zaki Hasan , Fadi Al-Turjman
DOI: 10.1016/J.FUTURE.2017.10.032
关键词:
摘要: Abstract Social Internet of Things (SIoTs) refers to the rapidly growing network connected objects and people that are able collect exchange data using embedded sensors. To guarantee connectivity among these people, fault tolerance routing has be significantly considered. In this paper, we propose a bio-inspired particle multi-swarm optimization (PMSO) algorithm construct, recover select k -disjoint paths tolerates failure while satisfying quality service (QoS) parameters. Multi-swarm strategy enables determining optimal directions in selecting multipath exchanging messages from all positions network. The validity proposed is assessed results demonstrate high-quality solutions compared with canonical swarm (CPSO), fully (FPMSO).
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