Optimization of Polling-based MAC Schedule Considering Data Aggregation for In-vehicle UWB Wireless Networks

Thi by s paper proposes an optimization method to obtain a polling schedule for UWB-based in-vehicle networks. The proposed method aims to reduce the preamble overhead by aggregating periodic data readout of the in-vehicle sensors. For this sake, we formulate scheduling as an integer linear programming problem. We then describe a periodic data phase optimization method that maximizes channel usage efficiency. In order to reduce the computation time, we also propose a method to compute the polling schedule by splitting the integer linear programming problem into smaller problems. Experimental results show that the proposed scheduling successfully suppresses the data loss rate compared with the round-robin scheduling.