Selecting source image sensor nodes based on 2-hop information to improve image transmissions to mobile robot sinks in search \& rescue operations

We consider Robot-assisted Search $\&$ Rescue operations enhanced with some fixed image sensor nodes capable of capturing and sending visual information to a robot sink. In order to increase the performance of image transfer from image sensor nodes to the robot sinks we propose a 2-hop neighborhood information-based cover set selection to determine the most relevant image sensor nodes to activate. Then, in order to be consistent with our proposed approach, a multi-path extension of Greedy Perimeter Stateless Routing (called T-GPSR) wherein routing decisions are also based on 2-hop neighborhood information is proposed. Simulation results show that our proposal reduces packet losses, enabling fast packet delivery and higher visual quality of received images at the robot sink

RESILINK: increasing resilience of smallholders with multi-platforms linking localized resource sharing

Agriculture is an important sector for income generation, employment and food security in North Africa. Increasing the resilience of smallholders to face unexpected crises is a multidimensional challenge that requires a multifaceted policy. However, common to most crisis situations, the restrictions on movements has many impacts on the availability of distant resources such as agricultural supplies, equipment, services, labours and access to markets to name a few.RESILINK [1] is a Research &amp; Innovation Action (RIA) project funded by the PRIMA organization in the context of the 2021 Section 2 call on Increasing the resilience of small-scale farms to global challenges and COVID-like crisis by using adapted technologies, smart agri-food supply chain and crisis management tools.RESILINK will increase smallholder’s resilience by providing continuity of access to both resources and markets in crisis situations. It will empower the local agri-food value chain model by optimizing usage of local resources, promoting and generalizing local resource sharing approach and facilitating territorial markets. This local agri-food value chain model will also be integrated with the local e-commerce, supply &amp; distribution channels. The concept of localized and short agri-food value chain will also impact on the agro ecological system by minimizing the food losses and contributing to the climate &amp; environment changes with shorter food supply chains and logistics. As a result, new and local innovative services can be identified and created, enhancing further the smallholders' agri-food chain.To implement the generalizing local resource sharing approach, RESILINK will develop a distributed digital resource management platform for real-time exchange of information on territorial resources and supplies &amp; demands; connecting smallholders to new supply, sharing opportunities and distribution channels.While the ideas of connecting smallholders to market and sharing resources are not new, the approach taken by RESILINK is to provide a unique platform-of-platforms capable of integrating existing or future platforms into comprehensive dashboards/portfolios. To achieve its objectives, RESILINK will:develop a resilient RESILINK network ensuring high availability of services where number of distributed, light-weight and collaborating platforms that will be run on the network of Edge-IoT gateways;implement the platform-of-platforms approach for large-scale adoption and sustainability: (a) RESILINK wrapper components will enable resources from existing digital platforms to be discovered &amp; integrated and, (b) RESILINK open API will allow development of new digital sharing platforms that can fully inter-operate with the RESILINK digital resource management platform to benefit from the RESILINK community;use cutting-edge modern Artificial Intelligence where RESILINK’s digital platform will leverage contextual intelligence to efficiently discover resources, identify trends, forecast and propose pertinent correlated resources;seamlessly integrate IoT technologies to automatize a number of information exchanges related to resource sharing.  RESILINK will further develop Edge-IoT components and demonstrate IoT integration benefits for resource sharing;run an extensive piloting &amp; evaluation program with smallholders for large-scale testing to ensure RESILINK’s concepts acceptance and validate RESILINK components in a step-by-step and incremental manner;</ul

Load Repartition for Congestion Control in Multimedia Wireless Sensor Networks with Multipath Routing

Wireless sensor networks hold a great potential in the deployment of several applications of a paramount importance in our daily life. Video sensors are able to improve a number of these applications where new approaches adapted to both wireless sensor networks and video transport specific characteristics are required. The aim of this work is to provide the necessary bandwidth and to alleviate the congestion problem to video streaming. In this paper, we investigate various load repartition strategies for congestion control mechanism on top of a multipath routing feature. Simulations are performed in order to get insight into the performances of our proposals

Enforcing QoS in scientific workflow systems enacted over Cloud infrastructures

AbstractThe ability to support Quality of Service (QoS) constraints is an important requirement in some scientific applications. With the increasing use of Cloud computing infrastructures, where access to resources is shared, dynamic and provisioned on-demand, identifying how QoS constraints can be supported becomes an important challenge. However, access to dedicated resources is often not possible in existing Cloud deployments and limited QoS guarantees are provided by many commercial providers (often restricted to error rate and availability, rather than particular QoS metrics such as latency or access time). We propose a workflow system architecture which enforces QoS for the simultaneous execution of multiple scientific workflows over a shared infrastructure (such as a Cloud environment). Our approach involves multiple pipeline workflow instances, with each instance having its own QoS requirements. These workflows are composed of a number of stages, with each stage being mapped to one or more physical resources. A stage involves a combination of data access, computation and data transfer capability. A token bucket-based data throttling framework is embedded into the workflow system architecture. Each workflow instance stage regulates the amount of data that is injected into the shared resources, allowing for bursts of data to be injected while at the same time providing isolation of workflow streams. We demonstrate our approach by using the Montage workflow, and develop a Reference net model of the workflow

Optimisation de la transmission d'images dans les réseaux de capteurs pour des applications critiques de surveillance

L émergence de petites caméras CMOS et de microphones MEMS, à coût et puissance réduits, a contribué au développement d une technologie permettant la transmission de flux multimédia (audio, image, vidéo) : les réseaux de capteurs multimédia. Cette technologie, offrant de nouvelles perspectives d applications potentielles où la collecte d informations visuelles et/ou acoustiques apporte une plus- value certaine, suscite un intérêt manifeste. Avec des données multimédia, la qualité de service devient désormais une exigence fondamentale pour la transmission dans un environnement contraint en ressources. Dans le contexte spécifique de cette thèse, nous considérons un déploiement par voie aérienne d une grande quantité de capteurs image pour des applications critiques de surveillance telles que la détection d intrusion ou des opérations de recherche et sauvetage. La prise en compte de la criticité des applications constitue un aspect important de cette thèse, novateur par rapport aux contributions déjà effectuées dans le domaine. Nos travaux se fondent sur une méthode d ordonnancement adaptatif de l activité des capteurs image qui fournit, pour chacun d entre eux, son ensemble de cover-sets. La détection d un événement dans le réseau déclenche la transmission d une large quantité d informations visuelles, émanant de plusieurs sources pour résoudre les ambiguïtés. L objectif de cette thèse est d optimiser cette transmission simultanée d images causant des désagréments sur le réseau. Nous avons tout d abord proposé une stratégie de sélection des cover-sets pertinents à activer pour une transmission efficace des images capturées. Cette stratégie, basée sur des critères d état et de voisinage, assure un compromis entre autonomie et criticité. Une extension multi-chemin de GPSR assure la remontée des images émises des sources sélectionnées au puits. Une seconde contribution, également une approche de sélection, se fonde sur les informations de chemins à 2 sauts pour la sélection des cover-sets. Contrairement à la précédente, elle accorde une priorité à la criticité par rapport à la préservation de l énergie, même si cette préservation est faite de manière indirecte. Un protocole de routage multi-chemin T-GPSR essentiellement basé sur les informations à 2 sauts est associé à la seconde approche de sélection. Une étude de performances de la mobilité du puits sur les propositions basées sur les informations à 2 sauts constitue notre troisième contribution.Recent advances of inexpensive and low-power CMOS cameras and MEMS mi- crophones have led to the emergence of Wireless Multimedia Sensor Networks (WMSNs). WMSNs promise a wide spectrum of potential applications which require to ubiquitously capture multimedia content (visual and audio information). To support the transmission of multimedia content in a resource constrained environment, WMSNs may require a certain level of quality of service (QoS) in terms of delay, bandwidth, jitter, reliability, quality level etc. In this thesis, we consider Wireless Image Sensor Networks (WISNs) where sensor nodes equipped with miniaturized visual cameras to provide accurate information in various geographical parts of an area of interest can be thrown in mass for mission-critical applications such as intrusion detection or search & rescue. An innovative and important aspect of this thesis is to take into account the criticality of applications. The network adopts an adaptive scheduling of image sensor node s activity based on the application criticality level, where each node computes its cover-sets. So, event detection triggers the simulataneous transmission of a large volume of visual data from multiples sources to the Sink. The main objective of this thesis is to optimize this simultaneous transmission of images that can degrade network performance. With this goal in mind, we first proposed a multi-criteria approach to select the suitable cover-sets to be activated for reliable transmission of images in mission-critical applications. The proposed approach takes into account various parameters that affect the image quality at the Sink in a multi-hop transmission network and guarantees a compromise between autonomy and criticality. A modified version of GPSR routing protocol supporting the transmission of multimedia streams ensures the transfer of images from selected sources to the Sink. The second contribution consists in an optimized selection strategy based on 2-hop neighborhood information to determine the most relevant cover-sets to be activated to increase reliability for image transmission. This selection approach prioritizes the application s criticality. A multipath extension of GPSR, called T-GPSR, wherein routing decisions are based 2-hop neighborhood information is also proposed. A performance study of the sink mobility on proposals based on 2-hop information is our third contribution.PAU-BU Sciences (644452103) / SudocSudocFranceF

Formulación de estrategias para competitividad ganadera en el contexto de la revolución industrial 4.0 : estudio de caso Villa del Rosario

La ganadería de doble propósito que se practica en Colombia presenta dificultades en la productividad debido a la poca inversión estatal y a la escasa implementación de tecnologías de punta que ayuden a dejar atrás la explotación artesanal en los hatos ganaderos. En aras a ayudar en estas dificultades se efectuó está investigación, en donde se desarrollaron estrategias utilizando tecnologías de la revolución industrial 4.0 las cuales ayudan a aumentar la competitividad de un negocio ganadero. El éxito de este trabajo parte de mostrarle al ganadero como es que se descubre la estructura de su negocio y en qué actividades se puede implementar tecnologías de la industria 4.0. que maximicen la competitividad de su negocio. Este trabajo puede ser utilizado como un manual para implementar tecnologías de la industria 4.0 en una finca ganadera, que involucra las variables, actividades, modelos y tecnologías que deberían estar presentes para desarrollar competitivamente un negocio ganadero.The double purpose livestock that is practiced in Colombia presents difficulties in productivity due to the limited state investment and the insufficient implementation of advanced technologies that help to leave behind the traditional exploitation in the livestock farms. to address these difficulties, this research developed strategies using technologies of the industrial revolution 4.0. industrial revolution helped to increase the competitiveness of a livestock business. The success of this research is in showing the farmer how to discover the structure of his business and in which activities he can implement technologies of the 4.0 industry to maximize the competitiveness of his business. This research can be used by farmers to implement 4.0 industry technologies in a livestock farming, which includes the variables, activities, models and technologies that should be present to develop a competitive livestock business.Magíster en Administración MBAMaestrí

Fast event detection in mission-critical surveillance with wireless video sensor networks

Abstract—Wireless Video Sensor Network (WVSN) can be used for efficient event detection such as intrusion detection or disaster relief systems. These applications have a high level of criticality and can not be deployed with the current state of technology. In this paper, we show how a dynamic criticality management scheme can provide fast event detection for missioncritical surveillance applications. Based on a criticality model that uses modified Bezier curves to determine for each sensor node the corresponding frame capture rate, simulation results show that the network lifetime can be increased, that the stealth time is kept low and that sentry nodes succeed in detecting intrusions. Index Terms—Sensor networks, video surveillance, coverage, event detection, mission-critical applications I

High Performance Clusters: A Promising Environment for Parallel Discrete Event Simulation

Parallel simulation techniques are promising for reducing the simulation time and for increasing the system size as well. Traditionally executed on state-of-the-art parallel machines, parallel simulation can now benet from the availability of high-performance clusters (HPC) based on commodity hardware. In this paper, we present our experiments with parallel simulations of large-scale communication networks on a Myrinet-based cluster. The model requires high performance communication as a large number of small messages are sent. The speedup results show that HPC can be a serious alternative to parallel machines even for high-demanding communication applications