NTN-Aided Quality and Energy-Aware Data Collection in Time-Critical Robotic Wireless Sensor Networks

O. Gul, A. Erkmen, B. Kantarci
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Abstract

Through the use of flying objects such as satellites and uncrewed aerial vehicles (UAVs), non-terrestrial networks (NTNs) have recently garnered interest in large-scale and developing wireless communication networks. UAV-assisted networks are quickly becoming part of future communication systems. This article overviews the recent works in which UAV-driven cluster-based data-gathering policies have been proposed for heterogeneous robotics and wireless sensor networks (RWSNs) where a UAV with limited-capacity battery visits a group of cluster head (CH) robots for gathering data by considering their energy consumption and data qualities under data hopping limits and NTN standards. In light of the importance of time-critical communications, an RWSN requires different data collection algorithms from WSN such that it includes no cluster-forming stage unlike the algorithms for WSN. Moreover, in the case of time-sensitive tasks under RWSN and under the quality and energy constraints, maximum latency from a nonvisited CH robot to a visited CH robot needs to be reduced with less number of hops in the RWSN. Further-more, the maximum number of forwarding attempts over a CH robot needs to be reduced, which is presented as an important future research direction.
时间关键型机器人无线传感器网络中的 NTN 辅助质量和能量感知数据采集
通过使用卫星和无人驾驶飞行器(UAV)等飞行物体,非地面网络(NTN)最近在大规模和发展中的无线通信网络中引起了人们的兴趣。无人机辅助网络正迅速成为未来通信系统的一部分。本文概述了最近的一些研究成果,其中针对异构机器人和无线传感器网络(RWSN)提出了无人机驱动的基于集群的数据收集策略,即在数据跳转限制和 NTN 标准下,考虑到能耗和数据质量,由电池容量有限的无人机访问一组簇头(CH)机器人收集数据。鉴于时间关键型通信的重要性,RWSN 需要与 WSN 不同的数据收集算法,例如,它不像 WSN 的算法那样包括集群形成阶段。此外,在 RWSN 下执行对时间敏感的任务时,在质量和能量限制条件下,需要减少 RWSN 中跳数,从而缩短从未访问的 CH 机器人到已访问的 CH 机器人之间的最大延迟时间。此外,还需要减少 CH 机器人的最大转发尝试次数,这也是未来的一个重要研究方向。
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