Integration of heterogeneous devices and communication models via the cloud in the constrained internet of things

As the Internet of Things continues to expand in the coming years, the need for services that span multiple IoT application domains will continue to increase in order to realize the efficiency gains promised by the IoT. Today, however, service developers looking to add value on top of existing IoT systems are faced with very heterogeneous devices and systems. These systems implement a wide variety of network connectivity options, protocols (proprietary or standards-based), and communication methods all of which are unknown to a service developer that is new to the IoT. Even within one IoT standard, a device typically has multiple options for communicating with others. In order to alleviate service developers from these concerns, this paper presents a cloud-based platform for integrating heterogeneous constrained IoT devices and communication models into services. Our evaluation shows that the impact of our approach on the operation of constrained devices is minimal while providing a tangible benefit in service integration of low-resource IoT devices. A proof of concept demonstrates the latter by means of a control and management dashboard for constrained devices that was implemented on top of the presented platform. The results of our work enable service developers to more easily implement and deploy services that span a wide variety of IoT application domains

Proposition of a full deterministic medium access method for wireless network in a robotic application

International audienceToday, many network applications require shorter react time. Robotic field is an excellent example of these needs: robot react time has a direct effect on its task's complexity. Here, we propose a full deterministic medium access method for a wireless robotic application. This contribution is based on some low-power wireless personal area networks, like ZigBee standard. Indeed, ZigBee has identified limits with Quality of Service due to non-determinist medium access and probable collisions during medium reservation requests. In this paper, two major improvements are proposed: an efficient polling of the star nodes and a temporal deterministic distribution of peer-to-peer messages. This new MAC protocol with no collision offers some QoS faculties

Analysis of RF-energy transducer for microwave harvesting system suitable for IoT applications

This project examines numerically the improved efficiency of energy transducer elements as RF antennas confined in metal cavities. To do so, parametric studies are performed using the 3D electromagnetic simulator CST transducers proposed using two RF antennas dual 2.4/5GHz antenna and a patch-designed 2.4 GHz. The results are contrasted with experimental measurements, demonstrating that the proposed transducers generate enough power to power a Texas Instruments BQ25570 chip or power IoT systems with μW power consumption.Aquest projecte analitza numèricament la millora en eficiència dels elements del transductor d'energia de RF d'antenes confinades en cavitats metàl·liques. Per fer-ho, es realitzen estudis paramètrics mitjançant el simulador electromagnètic 3D CST dels transductors de RF proposats utilitzant dues antenes duals a 2.4/5GHz i una patch-antenna dissenyada a 2.4GHz. Els resultats obtinguts es contrasten amb mesures experimentals, arribant a demostrar que els transductors proposats generen prou potència per a alimentar un sistema de gestió d'energia basat en el xip comercial BQ25570 de Texas Instruments o alimentar sistemes IoT amb consums en el rang del μW.El presente proyecto analiza numéricamente el aumento en eficiencia de los elementos del transductor de energía de RF de antenas confinadas en cavidades metálicas. Para ello, se realiza un estudio paramétrico mediante el simulador electromagnético 3D CST de los transductores de RF propuestos para dos antenas dipolos comerciales duales a 2.4/5GHz y una patch antena diseñada a 2.4GHz. Los resultados de las simulaciones se contrastan con medidas experimentales, llegando a demostrar que el transductor propuesto genera suficiente energía como para alimentar un sistema de gestión de energía estándar basado en el chip comercial BQ25570 de Texas Instrumentos alimentar sistemas IoT con consumos en el rango de los μW

Device-Edge Cooperative Fine-Tuning of Foundation Models as a 6G Service

Foundation models (FoMos), referring to large-scale AI models, possess human-like capabilities and are able to perform competitively in the domain of human intelligence. The breakthrough in FoMos has inspired researchers to deploy such models in the sixth-generation (6G) mobile networks for automating a broad range of tasks in next-generation mobile applications. While the sizes of FoMos are reaching their peaks, their next phase is expected to focus on fine-tuning the models to specific downstream tasks. This inspires us to propose the vision of FoMo fine-tuning as a 6G service. Its key feature is the exploitation of existing parameter-efficient fine-tuning (PEFT) techniques to tweak only a small fraction of model weights for a FoMo to become customized for a specific task. To materialize the said vision, we survey the state-of-the-art PEFT and then present a novel device-edge fine-tuning (DEFT) framework for providing efficient and privacy-preserving fine-tuning services at the 6G network edge. The framework consists of the following comprehensive set of techniques: 1) Control of fine-tuning parameter sizes in different transformer blocks of a FoMo; 2) Over-the-air computation for realizing neural connections in DEFT; 3) Federated DEFT in a multi-device system by downloading a FoMo emulator or gradients; 4) On-the-fly prompt-ensemble tuning; 5) Device-to-device prompt transfer among devices. Experiments are conducted using pre-trained FoMos with up to 11 billion parameters to demonstrate the effectiveness of DEFT techniques. The article is concluded by presenting future research opportunities.Comment: 13 pages, 6 figure

Mitigating the Impact of Physical Layer Capture and ACK Interference in Wireless 802.11 Networks

Ph.DDOCTOR OF PHILOSOPH