Replication vs erasure coding in data centric storage for wireless sensor networks

In-network storage of data in wireless sensor networks contributes to reduce the communications inside the network and to favor data aggregation. In this paper, we consider the use of n out of m codes and data dispersal in combination to in-network storage. In particular, we provide an abstract model of in-network storage to show how n out of m codes can be used, and we discuss how this can be achieved in five cases of study. We also define a model aimed at evaluating the probability of correct data encoding and decoding, we exploit this model and simulations to show how, in the cases of study, the parameters of the n out of m codes and the network should be configured in order to achieve correct data coding and decoding with high probability.

A module for Data Centric Storage in ns-3

Demo in Workshop on ns-3 (WNS3 2015). 13 to 14, May, 2015. Castelldefels, Spain.

Emergency energy resource management in SmartGrids

Energy resources management can play a very relevant role in future power systems in a SmartGrid context, with intensive penetration of distributed generation and storage systems. This paper deals with the importance of resource management in incident situations. The paper presents DemSi, an energy resources management simulator that has been developed by the authors to simulate electrical distribution networks with high distributed generation penetration, storage in network points and customers with demand response contracts. DemSi is used to undertake simulations for an incident scenario, evidencing the advantages of adequately using flexible contracts, storage, and reserve in order to limit incident consequences.

An intelligent clustering scheme for distributed intrusion detection in vehicular cloud computing

In recent years, vehicular cloud computing (VCC) has emerged as a new technology which is being used in wide range of applications in the area of multimedia-based healthcare applications. In VCC, vehicles act as the intelligent machines which can be used to collect and transfer the healthcare data to the local, or global sites for storage, and computation purposes, as vehicles are having comparatively limited storage and computation power for handling the multimedia files. However, due to the dynamic changes in topology, and lack of centralized monitoring points, this information can be altered, or misused. These security breaches can result in disastrous consequences such as-loss of life or financial frauds. Therefore, to address these issues, a learning automata-assisted distributive intrusion detection system is designed based on clustering. Although there exist a number of applications where the proposed scheme can be applied but, we have taken multimedia-based healthcare application for illustration of the proposed scheme. In the proposed scheme, learning automata (LA) are assumed to be stationed on the vehicles which take clustering decisions intelligently and select one of the members of the group as a cluster-head. The cluster-heads then assist in efficient storage and dissemination of information through a cloud-based infrastructure. To secure the proposed scheme from malicious activities, standard cryptographic technique is used in which the auotmaton learns from the environment and takes adaptive decisions for identification of any malicious activity in the network. A reward and penalty is given by the stochastic environment where an automaton performs its actions so that it updates its action probability vector after getting the reinforcement signal from the environment. The proposed scheme was evaluated using extensive simulations on ns-2 with SUMO. The results obtained indicate that the proposed scheme yields an improvement of 10 % in detection rate of malicious nodes when compared with the existing schemes.

Nano-CF: a Coordination Framework for macro-programming in wireless sensor networks

Wireless Sensor Networks (WSN) are being used for a number of applications involving infrastructure monitoring, building energy monitoring and industrial sensing. The difficulty of programming individual sensor nodes and the associated overhead have encouraged researchers to design macro-programming systems which can help program the network as a whole or as a combination of subnets. Most of the current macro-programming schemes do not support multiple users seamlessly deploying diverse applications on the same shared sensor network. As WSNs are becoming more common, it is important to provide such support, since it enables higher-level optimizations such as code reuse, energy savings, and traffic reduction. In this paper, we propose a macro-programming framework called Nano-CF, which, in addition to supporting in-network programming, allows multiple applications written by different programmers to be executed simultaneously on a sensor networking infrastructure. This framework enables the use of a common sensing infrastructure for a number of applications without the users having to worrying about the applications already deployed on the network. The framework also supports timing constraints and resource reservations using the Nano-RK operating system. Nano- CF is efficient at improving WSN performance by (a) combining multiple user programs, (b) aggregating packets for data delivery, and (c) satisfying timing and energy specifications using Rate- Harmonized Scheduling. Using representative applications, we demonstrate that Nano-CF achieves 90% reduction in Source Lines-of-Code (SLoC) and 50% energy savings from aggregated data delivery.

Electricity markets modeling considering complex contracts and aggregators

All over the world, the liberalization of electricity markets, which follows different paradigms, has created new challenges for those involved in this sector. In order to respond to these challenges, electric power systems suffered a significant restructuring in its mode of operation and planning. This restructuring resulted in a considerable increase of the electric sector competitiveness. Particularly, the Ancillary Services (AS) market has been target of constant renovations in its operation mode as it is a targeted market for the trading of services, which have as main objective to ensure the operation of electric power systems with appropriate levels of stability, safety, quality, equity and competitiveness. In this way, with the increasing penetration of distributed energy resources including distributed generation, demand response, storage units and electric vehicles, it is essential to develop new smarter and hierarchical methods of operation of electric power systems. As these resources are mostly connected to the distribution network, it is important to consider the introduction of this kind of resources in AS delivery in order to achieve greater reliability and cost efficiency of electrical power systems operation. The main contribution of this work is the design and development of mechanisms and methodologies of AS market and for energy and AS joint market, considering different management entities of transmission and distribution networks. Several models developed in this work consider the most common AS in the liberalized market environment: Regulation Down; Regulation Up; Spinning Reserve and Non-Spinning Reserve. The presented models consider different rules and ways of operation, such as the division of market by network areas, which allows the congestion management of interconnections between areas; or the ancillary service cascading process, which allows the replacement of AS of superior quality by lower quality of AS, ensuring a better economic performance of the market. A major contribution of this work is the development an innovative methodology of market clearing process to be used in the energy and AS joint market, able to ensure viable and feasible solutions in markets, where there are technical constraints in the transmission network involving its division into areas or regions. The proposed method is based on the determination of Bialek topological factors and considers the contribution of the dispatch for all services of increase of generation (energy, Regulation Up, Spinning and Non-Spinning reserves) in network congestion. The use of Bialek factors in each iteration of the proposed methodology allows limiting the bids in the market while ensuring that the solution is feasible in any context of system operation. Another important contribution of this work is the model of the contribution of distributed energy resources in the ancillary services. In this way, a Virtual Power Player (VPP) is considered in order to aggregate, manage and interact with distributed energy resources. The VPP manages all the agents aggregated, being able to supply AS to the system operator, with the main purpose of participation in electricity market. In order to ensure their participation in the AS, the VPP should have a set of contracts with the agents that include a set of diversified and adapted rules to each kind of distributed resource. All methodologies developed and implemented in this work have been integrated into the MASCEM simulator, which is a simulator based on a multi-agent system that allows to study complex operation of electricity markets. In this way, the developed methodologies allow the simulator to cover more operation contexts of the present and future of the electricity market. In this way, this dissertation offers a huge contribution to the AS market simulation, based on models and mechanisms currently used in several real markets, as well as the introduction of innovative methodologies of market clearing process on the energy and AS joint market. This dissertation presents five case studies; each one consists of multiple scenarios. The first case study illustrates the application of AS market simulation considering several bids of market players. The energy and ancillary services joint market simulation is exposed in the second case study. In the third case study it is developed a comparison between the simulation of the joint market methodology, in which the player bids to the ancillary services is considered by network areas and a reference methodology. The fourth case study presents the simulation of joint market methodology based on Bialek topological distribution factors applied to transmission network with 7 buses managed by a TSO. The last case study presents a joint market model simulation which considers the aggregation of small players to a VPP, as well as complex contracts related to these entities. The case study comprises a distribution network with 33 buses managed by VPP, which comprises several kinds of distributed resources, such as photovoltaic, CHP, fuel cells, wind turbines, biomass, small hydro, municipal solid waste, demand response, and storage units.

mRPL: Boosting mobility in the Internet of Things

The 6loWPAN (the light version of IPv6) and RPL (routing protocol for low-power and lossy links) protocols have become de facto standards for the Internet of Things (IoT). In this paper, we show that the two native algorithms that handle changes in network topology – the Trickle and Neighbor Discovery algorithms – behave in a reactive fashion and thus are not prepared for the dynamics inherent to nodes mobility. Many emerging and upcoming IoT application scenarios are expected to impose real-time and reliable mobile data collection, which are not compatible with the long message latency, high packet loss and high overhead exhibited by the native RPL/6loWPAN protocols. To solve this problem, we integrate a proactive hand-off mechanism (dubbed smart-HOP) within RPL, which is very simple, effective and backward compatible with the standard protocol. We show that this add-on halves the packet loss and reduces the hand-off delay dramatically to one tenth of a second, upon nodes’ mobility, with a sub-percent overhead. The smart-HOP algorithm has been implemented and integrated in the Contiki 6LoWPAN/RPL stack (source-code available on-line mrpl: smart-hop within rpl, 2014) and validated through extensive simulation and experimentation.

Segurança no circuito do medicamento citotóxico: contributos para a avaliação da realidade hospitalar em Portugal

Introdução: O medicamento citotóxico é definido pelas suas características de genotoxicidade, mutagenicidade, carcinogenicidade, teratogenicidade, toxicidade reprodutiva e toxicidade orgânica em baixas doses. Deste modo, existe uma grande preocupação no que concerne ao manuseamento deste tipo de medicamentos, devido aos riscos ocupacionais que podem surtir da exposição a que os profissionais de farmácia envolvidos estão sujeitos. Objectivos: Analisar a realidade da farmácia hospitalar face ao cumprimento das normas e procedimentos preconizados pelas actuais guidelines para o manuseamento seguro de medicamentos citotóxicos, e identificar as lacunas existentes, conduzindo à promoção de práticas centradas na minimização do risco de exposição/contaminação dos profissionais e do ambiente. Material e Métodos: Foi realizada uma pesquisa bibliográfica sistemática sobre o tema, utilizando-se como instrumento de recolha de dados um inquérito por questionário, em que os TDT de Farmácia foram abordados sobre os procedimentos verificados no hospital onde exercem actividade profissional. Resultados: Face ao cumprimento das normas na recepção, armazenamento e transporte de medicamentos citotóxicos, verifica-se que todos os hospitais se encontram acima da média. Apesar desta evidência, é na fase de transporte que se verifica um menor cumprimento. As principais lacunas detectadas foram ao nível da não utilização de EPI nas fases de recepção e armazenamento; a recepção de medicamentos citotóxicos em conjunto com outros medicamentos; a falta de um sistema de ventilação no local de armazenamento e, ainda, ausência de portas de correr e/ou gavetas fechadas nos carros de transporte de medicamentos citotóxicos. Conclusões: Os resultados deste estudo revelam alguma heterogeneidade de procedimentos nos hospitais Portugueses, sugerindo a necessidade de intervenção e reformulação do programa de segurança e gestão de risco desenvolvidos para o manuseamento de citotóxicos.

Communication protocol for the rempli project

The overall goal of the REMPLI project is to design and implement a communication infrastructure for distributed data acquisition and remote control operations using the power grid as the communication medium. The primary target application is remote meter reading with high time resolution, where the meters can be energy, heat, gas, or water meters. The users of the system (e.g. utility companies) will benefit from the REMPLI system by gaining more detailed information about how energy is consumed by the end-users. In this context, the power-line communication (PLC) is deployed to cover the distance between utility company’s Private Network and the end user. This document specifies a protocol for real-time PLC, in the framework of the REMPLI project. It mainly comprises the Network Layer and Data Link Layer. The protocol was designed having into consideration the specific aspects of the network: different network typologies (star, tree, ring, multiple paths), dynamic changes in network topology (due to network maintenance, hazards, etc.), communication lines strongly affected by noise.

A general overview on hybrid and electric vehicles

The economical and environment impacts of fossil energies increased the interest for hybrid, battery and fuel-cell electric vehicles. Several demanding engineering challenges must be faced, motivated by different physical domains integration. This paper aims to present an overview on hybrid (HEV) and electric vehicles (EV) basic structures and features. In addition, it will try to point out some of the most relevant challenges to overcome for HEV and EV may be a solid option for the mobility issue. New developments in energy storage devices and energy management systems (EMS) are crucial to achieve this goal.

JSON on Mobile: is there an efficient parser?

The two largest causes for battery consumption on mobile devices are related with the display and network operations. Since most application need to share data and communicate with remote servers, communications should be as lightweight and efficient as possible. In network communication, serialization plays a central role as the process of converting an object into a stream of bytes. One of the most popular data-interchange format is JSON (JavaScript Object Notation). This paper presents a survey on JSON parsers in mobile scenarios. The aim of the survey is to find the most efficient JSON parser in mobile communications characterised by high transfer rate of small amounts of data. In the performance benchmark we compare the time required to read and write data with several popular JSON parser implementations such as Gson, Jackson, org.json and others. The results of this survey are important for others that need to select an efficient parser for mobile communication.

Multi-agent system for personalization of location-based services

The current ubiquitous network access and increase in network bandwidth are driving the sales of mobile location-aware user devices and, consequently, the development of context-aware applications, namely location-based services. The goal of this project is to provide consumers of location-based services with a richer end-user experience by means of service composition, personalization, device adaptation and continuity of service. Our approach relies on a multi-agent system composed of proxy agents that act as mediators and providers of personalization meta-services, device adaptation and continuity of service for consumers of pre-existing location-based services. These proxy agents, which have Web services interfaces to ensure a high level of interoperability, perform service composition and take in consideration the preferences of the users, the limitations of the user devices, making the usage of different types of devices seamless for the end-user. To validate and evaluate the performance of this approach, use cases were defined, tests were conducted and results gathered which demonstrated that the initial goals were successfully fulfilled.

Distributed Forest Fire Monitoring Using Wireless Sensor Networks

Disaster management is one of the most relevant application fields of wireless sensor networks. In this application, the role of the sensor network usually consists of obtaining a representation or a model of a physical phenomenon spreading through the affected area. In this work we focus on forest firefighting operations, proposing three fully distributed ways for approximating the actual shape of the fire. In the simplest approach, a circular burnt area is assumed around each node that has detected the fire and the union of these circles gives the overall fire’s shape. However, as this approach makes an intensive use of the wireless sensor network resources, we have proposed to incorporate two in-network aggregation techniques, which do not require considering the complete set of fire detections. The first technique models the fire by means of a complex shape composed of multiple convex hulls representing different burning areas, while the second technique uses a set of arbitrary polygons. Performance evaluation of realistic fire models on computer simulations reveals that the method based on arbitrary polygons obtains an improvement of 20% in terms of accuracy of the fire shape approximation, reducing the overhead in-network resources to 10% in the best case.

Melhoria do Processo Produtivo da Pietec Através das Ferramentas Kaizen

Esta Tese de Mestrado foi realizada na empresa Pietec Cortiças S.A.. A empresa Pietec Cortiças S.A. é a unidade industrial responsável pela produção de rolhas técnicas de cortiça do Grupo Piedade. O objetivo desta tese prende-se com a melhoria do processo produtivo de uma das suas secções, a secção da Marcação. Esta secção é responsável pela marcação da superfície da rolha, pela aplicação do tratamento de superfície e pelo embalamento das rolhas. A otimização do processo da secção de Marcação, na qualidade de última secção do processo produtivo, permitirá à empresa obter vantagens competitivas. De forma a atingir o objetivo proposto, foi realizado um levantamento exaustivo do processo produtivo e das respetivas operações. Esta análise permitiu a identificação dos possíveis pontos de desperdício, a sua avaliação e a definição de possíveis melhorias que visam o aumento de produtividade e a redução do número de produtos não conformes. Uma vez identificados os pontos críticos do processo, procedeu-se à definição das ações de melhoria a implementar de forma a melhorar o processo produtivo. As ações tomadas assentam na filosofia Lean e nos seus princípios, utilizando-se algumas das ferramentas desta filosofia para concretizar os objetivos traçados. A ferramenta de análise Plan-Do-Check-Act (PDCA) foi a ferramenta base do projeto, acompanhando na elaboração do plano de ação, na implementação das ferramentas 5S e Single Minute Exchange of Die (SMED), na verificação dos resultados e no plano de manutenção das melhorias alcançadas. Após a implementação das medidas definidas no processo de marcação da superfície das rolhas, foi mensurada uma melhoria de 23 % no tempo médio de setup da máquina de marcação. Esta melhoria global foi alcançada através de intervenções no processo de vazamento do circuito da máquina de marcação, no procedimento de armazenamento dos moldes de marcação e na alteração dos mecanismos de ajuste da máquina de marcar e de orientar. No processo de embalamento das rolhas, as medidas implementadas produziram um aumento de 1,7 % no número de rolhas produzidas e uma redução do número de rolhas não conformes de 3,6 %. Os resultados obtidos no projeto demonstram que é possível continuar a melhorar o estado atual dos processos. Constatou-se ainda que, com a adoção de ferramentas de análise e de proposta de melhoria adequadas, é possível atuar sobre os processos e obter melhorias a curto prazo, sem que para isso seja necessário efetuar grandes investimentos.

Reorganização do layout e reajustamento dos recursos humanos de um armazém

O projeto descrito no presente relatório, desenvolvido no contexto do Mestrado em Logística da APNOR, surgiu com vista a colmatar as necessidades identificadas pela empresa acolhedora na área da armazenagem. A empresa identificou como objetivo principal a reorganização do armazém de modo a satisfazer em tempo útil os pedidos efetuados pela unidade de produção. Em simultâneo foi identificada a necessidade de ajustar os recursos humanos do armazém às necessidades do mesmo. Durante o último ano de atividade verificou-se um crescimento exponencial do volume de produção, assim como do número de clientes. O crescimento acelerado dificultou a adaptação das estruturas da empresa à nova realidade, designadamente no que respeita à disposição do armazém, ao fluxo de informação e físico entre o armazém e a produção, assim como um correto dimensionamento do número de colaboradores afetos ao armazém. No início do estágio foi efetuado um acompanhamento próximo dos colaboradores e das atividades desenvolvidas, por forma a encontrar os principais pontos de estrangulamento dentro do armazém e na relação entre o armazém e a produção. Durante o acompanhamento averiguou-se que a principal dificuldade era a capacidade do armazém em albergar a mercadoria remetida pelos clientes, o tempo dispensado nos percursos efetuados no armazém para a preparação das encomendas e o abastecimento da produção em tempo útil.