Symbiot: Congestion-Driven Multi-resource Fairness for Multi-user Sensor Networks

Abstract

Abstract-In this paper, we study the problem of multi-resource fairness in multi-user sensor networks with heterogeneous and time-varying resources. Particularly we focus on data gathering applications run on Wireless Sensor Networks (WSNs) or Internet of Things (IoTs) in which users require to run a serious of sensing tasks with various resource requirements. By exploiting graph theory, queueing theory and the notion of dominant resource shares, we develop Symbiot, a light-weight, distributed algorithm that ensures multi-resource fairness between these users. With Symbiot, nodes can independently schedule its resources while maintaining network-level resource fairness through observing traffic congestion levels. Large-scale simulations based Contiki OS and Cooja network emulator show the effectiveness of Symbiot in utilizing resources and reducing average completion times.

Multi-Channel Networked MIMO-MPC-based SiL/HiL/MiL for CC/CV Sections’ Optimization in 6th Gen Hybrid/Islanded Inverters for Mobile Green Nano-Grids in FEW Nexus

“…The following gaps were found in existing nanogrid practices and orientation [7-9] literature regarding 6 th generation inverters as shown in fig 2 . In fig 1, a clear picture of the contribution expected from this research is presented and will have a huge impact on the green mobility-based FEW Nano-grids as a scalable factor in their future market. The role of electro-chemistry in conductors and energy elements and materials' structural health used is worth mentioning as per contributions [10,11]. The nine potential gaps were observed in conventional PV inverters and are mentioned as: a) There is not a single MIMO-MPC-based solution that can employ a mesh network of spatially deployed Nanogrids nodes to derive the abstract key performance indicators (KPIs) in nano-grids.…”