In this paper, we tend to propose a resolution to the scheduling drawback in clustered wireless sensor networks (WSNs). The objective is to provide network-wide optimized time division multiple access (TDMA) schedules that may achieve high power efficiency, zero conflict, and reduced finish-to-end delay. To attain this objective, we have a tendency to first build a nonlinear cross-layer optimization model involving the network, medium access management (MAC), and physical layers, which aims at reducing the energy consumption. We have a tendency to solve this problem by remodeling the model into 2 simpler subproblems. Based on the network-wide flow distribution calculated from the optimization model and transmission power on each link, we have a tendency to then propose an algorithm for deriving the TDMA schedules, utilizing the slot reuse concept to achieve minimum TDMA frame length. Numerical results reveal that our proposed resolution reduces the energy consumption and delay significantly, while simultaneously satisfying a specified reliability objective.

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