Flexible online multi-objective optimization framework for ISA100.11a standard in beacon-enabled CSMA/CA mode

• Main Authors: Yasari, Abidulkarim K. I., Latiff, Liza Abdul, Dziyaudin, Rudzidatul Akmam, Lilo, Moneer Ali, Aljeroudi, Yazan, Atee, Hayfaa A.
• Format: Article
• Published: Elsevier Ltd 2016
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/72806/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015261108&doi=10.1016%2fj.compeleceng.2017.02.024&partnerID=40&md5=16f57f8898df6f6888e845e576f2434e

Maintaining high quality of service (QoS) for sensor nodes is important in industrial wireless sensor networks (IWSNs). Wide range of factors severely affects QoS; however more research is still needed. In this article, a flexible online multi-objective optimization framework (FOMOF) in carrier sense multiple access with collision avoidance (CSMA/CA) mode is proposed. Nodes are predominantly grouped based on their QoS requirements and then optimized in online mode using a constrained genetic based multi-objective approach. FOMOF to maintain a minimum desired QoS of the pre-determined groups with maximum number of nodes. Furthermore, the packet delivery ratio (PDR) obtained in FOMOF was higher than the one obtained by ISA100.11a standard. Accordingly, the grouping strategy enhanced the number of nodes by 12.5% with End-to-End delay reduction of 16.36% for 27 nodes.