Adaptive TDMA scheduling for real-time flows in cluster-based wireless sensor networks

Abstract

To prevent scalability problem caused by increasing traffic of real-time\n applications, cluster architecture with Time Division Multiple Access (TDMA)\n scheduling scheme is mostly deployed in wireless sensor networks. However,\n even though it have proven good scalability and suitability for real-time\n communications, but static scheduling lacks of adaptability in several\n situations by not admitting some real-time flows where slots remain\n available. To solve mentioned problem, in this paper, we propose an adaptive\n cluster-based scheduling scheme for real-time flows by utilizing the time\n slots for flows according to type of flows such as inside or outside\n cluster. So, the proposed scheme can achieve better utilization of channel\n by minimizing the number of unused channels for real-time flows than static\n scheme through new adaptive TDMA scheduling scheme . Simulation results show\n that more flows are admitted and delivered within the deadline in the\n proposed scheme by utilizing unused time slots accordingly.