Journal
IET COMMUNICATIONS
Volume 13, Issue 18, Pages 2932-2940Publisher
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-com.2018.6065
Keywords
wireless sensor networks; linear programming; simulated annealing; particle swarm optimisation; time division multiple access; telecommunication scheduling; telecommunication network routing; optimisation-based time slot assignment; objective function; fixed routing; spatial reuse; industrial environment; data collision avoidance; industrial wireless sensor network; time division multiple access MAC; transmission collision; dynamic routing; data delivery time constraint; synchronisation; particle swarm optimisation; simulated annealing algorithm; network bandwidth; time slot usage; IWSN; TDMA schedules; linear programming model; bounded transmission delay
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Funding
- 'Intelligence Recognition Industry Service Research Center (IR-IS Research Center)' from The Featured Areas Research Center Program within Ministry of Education (MOE) in Taiwan
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Wireless sensor network in the industrial environment [industrial wireless sensor network (IWSN)] has data delivery time constraint. Due to the dynamic routing and transmission collision, the data delivery time is unpredictable. The authors utilised time division multiple access (TDMA) MAC to avoid data collision and to provide bounded transmission delay. Moreover, a linear programming model is proposed to construct the TDMA schedules, which is focused on spatial reuse and fixed routing in IWSN. The objective function of the model is to minimise the time slot usage to increase the overall network bandwidth. Finally, both simulated annealing algorithm and particle swarm optimisation are applied to approximate the optimal solution of time slot usage.
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