Authors: Yang Wanggong; Cheng Mingzhi
Addresses: School of New Media, Beijing Institute of Graphic University, Beijing, 102600, China ' School of New Media, Beijing Institute of Graphic University, Beijing, 102600, China
Abstract: In order to solve the problem that the traditional scheduling algorithm of sensor network node is constrained by the energy of the node itself, this paper proposes a new scheduling algorithm of sensor network node based on artificial neural network (ANN). Aiming at the sensor network of ANN, a multi-objective task scheduling model is established. The optimal solution of task scheduling is obtained by particle swarm optimisation algorithm. The energy balance degree is set as the final decision-making index, and the energy consumption of the optimal solution centralised node is chosen as the final task scheduling strategy to complete the scheduling of sensor network nodes. The experimental results show that the proposed algorithm has higher coverage and lower energy consumption in the scheduling process, which has certain advantages.
Keywords: ANN; artificial neural network; sensor; network node; multi-objective task scheduling; swarm optimisation algorithm; final decision-making index.
International Journal of Autonomous and Adaptive Communications Systems, 2021 Vol.14 No.3, pp.279 - 290
Received: 09 Sep 2019
Accepted: 26 Mar 2020
Published online: 19 Sep 2021 *