Yasari, Abidulkarim K. I. and Latiff, Liza Abdul and Dziyaudin, Rudzidatul Akmam and Lilo, Moneer Ali and Aljeroudi, Yazan and Atee, Hayfaa A. (2016) Flexible online multi-objective optimization framework for ISA100.11a standard in beacon-enabled CSMA/CA mode. Computers and Electrical Engineering . ISSN 0045-7906 (In Press)
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Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Genetic algorithms (GAs), Industrial wireless sensor networks (IWSNs), Multi-objective optimization, Online optimization, Quality of service (QoS) |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Razak School of Engineering and Advanced Technology |
| ID Code: | 72806 |
| Deposited By: | Fahmi Moksen |
| Deposited On: | 20 Nov 2017 08:05 |
| Last Modified: | 20 Nov 2017 08:05 |
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