Improving end-to-end quality of service in low-power wireless sensor networks
Zhang, Peilin · Carl von Ossiezky University of Oldenburg · 2020
It is extremely challenging to provide, to guarantee, and to optimize the quality of services (QoS) in a low-power multihop wireless sensor network (WSN) concerning achieving high reliability, high timeliness, and high energy efficiency. This thesis mainly contributes to improving performance to satisfy the QoS requirements in low-power multihop WSNs, which is essential for the increasing adoption of WSNs in the Internet of Things, Cyber-physical System, and other mission-critical applications. Particularly, it can be divided into four aspects according to the WSN protocol stack: improving QoS by (i) exploiting multichannel opportunistic routing to resist the harsh conditions, (ii) using machine learning techniques to mitigate communication redundancy, (iii) applying concurrent transmission for reliable and timely data collection, and (iv) utilizing application-level adaptations on run-time dynamics together with design-time knowledge.