Observer-based integrated event–triggered sliding mode control for Internet of vehicles with communication constraints

Abstract

This paper investigates the co-design problem of the integrated event-triggering (IET) scheme and integral sliding mode control (ISMC) for the non-linear Internet of vehicles (IoVs) with communication constraints. The main goal is to improve the tracking performance and increase the bandwidth utilization of vehicular ad hoc networks (VANETs) with various external disturbances. First, a non-linear IoV dynamic model is established by considering the disturbance from the preceding vehicle, internal and external resistance, and uncertainty of the engine time constant. Second, an IET transmission mechanism based on both absolute and relative restriction conditions of sampled-data error is proposed to reduce unnecessary data transmissions among vehicles. Third, co-design IET mechanisms and ISMC controller based on estimated H∞ observer are designed, which can obtain the disturbance attenuation and asymptotic stability, and the result is complemented by additional conditions established for guaranteeing string stability. Finally, extensive simulations are conducted to verify the theoretical analysis and prove the effectiveness and superiority of the proposed method.

Distributed optimization game algorithm to improve energy efficiency for multi-radio multi-channel wireless sensor network

“…Multi-channel allocation technology (Ye et al, 2022) can effectively use the scarce spectrum resources to allocate channels for each node in the network, thereby effectively reducing network interference, reducing data retransmission energy consumption due to high interference, and reducing network energy consumption to a certain extent. For example, Yue et al (2023) improved the bandwidth utilization under various interferences. The classical channel allocation algorithm Game-Based Channel Allocation (GBCA) considers the network topology routing information, constructs a node interference model, and takes reducing node interference as the optimization goal to effectively ensure data transmission (Chen et al, 2011).…”