Computer Science and Information Systems 2016 Volume 13, Issue 2, Pages: 475-492
https://doi.org/10.2298/CSIS150401005G
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Adaptive TDMA scheduling for real-time flows in cluster-based wireless sensor networks
Gohar Ali (Sur University College, Oman)
Kim Kyong Hoon (Gyeongsang National University, Research Center for Aerospace Parts Technology, Department of Aerospace and Software Engineering, Jinju-Dearo, Korea)
Kim Ki-Il (Gyeongsang National University, Research Center for Aerospace Parts Technology, Department of Aerospace and Software Engineering, Jinju-Dearo, Korea)
To prevent scalability problem caused by increasing traffic of real-time
applications, cluster architecture with Time Division Multiple Access (TDMA)
scheduling scheme is mostly deployed in wireless sensor networks. However,
even though it have proven good scalability and suitability for real-time
communications, but static scheduling lacks of adaptability in several
situations by not admitting some real-time flows where slots remain
available. To solve mentioned problem, in this paper, we propose an adaptive
cluster-based scheduling scheme for real-time flows by utilizing the time
slots for flows according to type of flows such as inside or outside
cluster. So, the proposed scheme can achieve better utilization of channel
by minimizing the number of unused channels for real-time flows than static
scheme through new adaptive TDMA scheduling scheme . Simulation results show
that more flows are admitted and delivered within the deadline in the
proposed scheme by utilizing unused time slots accordingly.
Keywords: real-time, , cluster, TDMA, scheduling, wireless sensor networks