<p>This thesis is analysis-based survey in which our task was to find out the suitability of </p><p>IEEE 802.15.4 for the RFID systems in terms of power. We studied the different RFID </p><p>systems. We analyzed the IEEE 802.15.4 to see how much this protocol can facilitate the </p><p>RFID application, but we just considered the 2.4 GHz physical band as Free2move uses </p><p>this band for its RFID products. Since semi-passive1 RFIDs are the closest competitors </p><p>of the active RFID, so we also compared the IEEE 802.15.4 with ISO 18000-4 (mode2) </p><p>to find out their pros and cons. </p><p>We also tried to evaluate the hardware architecture proposed by Free2move. We </p><p>compared proposed hardware components with other competitors available in the market. </p><p>The main point of focus during hardware evaluation remained its power efficiency. As </p><p>concluding part we have proposed an idea for using the IEEE 802.15.4 standard in semi- </p><p>passive RFIDs.</p>

Wireless Sensor Networks (WSNs) have enticed a strong attention in the research community due to the broad range of applications and services they support. WSNs are composed of intelligent sensor nodes that have the capabilities to monitor different types of environmental phenomena or critical activities. Sensor nodes operate under stringent requirements of scarce power resources, limited storage capacities, limited processing capabilities, and hostile environmental surroundings. However, conserving sensor nodes’ power resources is the top priority requirement in the design of a WSN as it has a direct impact on its lifetime. The IEEE 802.15.4 standard defines a set of specifications for both the PHY layer and the MAC sub-layer that abide by the distinguished requirements of WSNs. The standard’s MAC protocol employs an intelligent backoff algorithm, called the Binary Exponent Backoff (BEB), that minimizes the drainage of power in these networks. In this thesis we present an in-depth study of the IEEE 802.15.4 MAC protocol to highlight both its strong and weak aspects. We show that we have enticing opportunities to improve the performance of this protocol in the context of WSNs. We propose three new backoff algorithms, namely, the Standby-BEB (SB-BEB), the Adaptive Backoff Algorithm (ABA), and the Priority-Based BEB (PB-BEB), to replace the standard BEB. The main contribution of the thesis is that it develops a new design concept that drives the design of efficient backoff algorithms for the IEEE 802.15.4-based WSNs. The concept dictates that controlling the algorithms parameters probabilistically has a direct impact on enhancing the backoff algorithm’s performance. We provide detailed discrete-time Markov-based models (for AB-BEB and ABA) and extensive simulation studies (for the three algorithms) to prove the superiority of our new algorithms over the standard BEB.

This thesis is analysis-based survey in which our task was to find out the suitability of IEEE 802.15.4 for the RFID systems in terms of power. We studied the different RFID systems. We analyzed the IEEE 802.15.4 to see how much this protocol can facilitate the RFID application, but we just considered the 2.4 GHz physical band as Free2move uses this band for its RFID products. Since semi-passive1 RFIDs are the closest competitors of the active RFID, so we also compared the IEEE 802.15.4 with ISO 18000-4 (mode2) to find out their pros and cons. We also tried to evaluate the hardware architecture proposed by Free2move. We compared proposed hardware components with other competitors available in the market. The main point of focus during hardware evaluation remained its power efficiency. As concluding part we have proposed an idea for using the IEEE 802.15.4 standard in semi- passive RFIDs.

Low power wireless communications is the most demanding request among all wireless users. A battery life that can survive for years without being replaced, makes it realistic to implement many applications where the battery is unreachable (e.g. concrete walls) or expensive to change (e.g underground applications). IEEE 802.15.4/ZIGBEE standard is published to cover low power low cost applications, where the battery life can last for years, because of the 1% duty cycle of operation. A fully integrated 2.4GHz IEEE802.15.4 Compliant transceiver suitable for low power, low cost ZIGBEE applications is implemented. Direct conversion architecture is used in both Receiver and Transmitter, to achieve the minimum possible power and area. The chip is fabricated in a standard 0.18um CMOS technology. In the transmit mode, the transmitter chain (Modulator to PA) consumes 25mW, while in the receive mode, the iv receiver chain (LNA to Demodulator) consumes 5mW. The Integer-N Frequency Synthesizer consumes 8.5mW. Other Low power circuits are reported; A 13.56 Passive RFID tag and a low power ADC suitable for Built-In-Testing applications.

In conjunction with the possibility of inexpensive wireless communication, many products of tomorrow are developed with the support for wireless communication. The technology enables the possibilty of wireless communication to small plattforms at a realistic price. The cheap connectivity allows for great creativity and gives the developers imagination a wide discretion in the development of new products. This thesis aims to evaluate how the serial communication protocol Modbus RTU - RS232, performs and behaves when transported through meshed networks (Atmel lightweight mesh will be used in this thesis). The work was commissioned by M2M Solutions in J¨onk¨oping. The report will answer the following questions1. How does Modbus RTU behaves when transported through a meshed network. 2. How does Modbus RTU preform when transported through Atmel Lightweight Mesh.The authors have chosen to conduct action research to answer established questions. A test system consisting of both hardware and software was designed and created. With this system, several different tests were conducted and the results were observed and subjected to reflection. The different tests varied the distance, the network’s composition and location of the network infrastructure. Through observation of the test system and evaluation of the recorded data conclusions concering Modbus RTU’s performance and behavior during transport in Atmel lightweigh mesh has been drawn. The test system has been designed with the help of clients and previously made research. Modbus behaves nominally during transportation through Atmel lightweight mesh. Before the network is fully established, an inability to transport data has beend observed. The performance is evaluated by the time it takes to send data, the time is greatly affected by the following factors; Network composition and changes in signal strength (that creates changes in transport routes). For each additional node that traffic is transported through an increase of 5-10ms in the responstime was noted. The network’s ability to change the transport route is also expected to increase performance. The wireless communication provides a longer range than during transportation by standard conventional cable.Considering the results, the authors believe that Modbus RTU has the potential for use in transportation through wireless, meshed networks. One possible scenario is when several Modbus RTU masters are beeing used and data needs to be transported over large distances.

No description available.

Wireless Sensor Networks (WSNs) have enticed a strong attention in the research community due to the broad range of applications and services they support. WSNs are composed of intelligent sensor nodes that have the capabilities to monitor different types of environmental phenomena or critical activities. Sensor nodes operate under stringent requirements of scarce power resources, limited storage capacities, limited processing capabilities, and hostile environmental surroundings. However, conserving sensor nodes’ power resources is the top priority requirement in the design of a WSN as it has a direct impact on its lifetime. The IEEE 802.15.4 standard defines a set of specifications for both the PHY layer and the MAC sub-layer that abide by the distinguished requirements of WSNs. The standard’s MAC protocol employs an intelligent backoff algorithm, called the Binary Exponent Backoff (BEB), that minimizes the drainage of power in these networks. In this thesis we present an in-depth study of the IEEE 802.15.4 MAC protocol to highlight both its strong and weak aspects. We show that we have enticing opportunities to improve the performance of this protocol in the context of WSNs. We propose three new backoff algorithms, namely, the Standby-BEB (SB-BEB), the Adaptive Backoff Algorithm (ABA), and the Priority-Based BEB (PB-BEB), to replace the standard BEB. The main contribution of the thesis is that it develops a new design concept that drives the design of efficient backoff algorithms for the IEEE 802.15.4-based WSNs. The concept dictates that controlling the algorithms parameters probabilistically has a direct impact on enhancing the backoff algorithm’s performance. We provide detailed discrete-time Markov-based models (for AB-BEB and ABA) and extensive simulation studies (for the three algorithms) to prove the superiority of our new algorithms over the standard BEB.

Com o aumento das aplicações e dispositivos para Internet das Coisas, muitos esforços para reduzir potência dissipada nos transceptores foram investidos. A maioria deles, entretanto, focam individualmente no rádio, nos conversores analógicos para digital e viceversa, e na arquitetura de banda base digital. Como consequência, há pouca margem para melhorias na potência dissipada nestes blocos isolados que compense o enorme esforço. Portanto, este trabalho propõe uma arquitetura adaptativa a nível de sistema focando em reduzir o consumo no conversor analógico para digital e no receptor digital. Ele utiliza um algoritmo robusto para o receptor banda base digital, um conversor analógico para digital topologia Sigma-Delta e um bloco de controle realimentado conforme a relação sinal ruído medida do pacote recebido. O sistema foi projetado para o protocolo IEEE 802.15.4. Para validação do sistema e estimar a potência consumida foi feito um modelo de sistema utilizando a ferramenta Matlab, uma descrição do hardware em linguagem Verilog e uma síntese lógica utilizando o processo da X-FAB XC018. As simulações mostram uma redução na potência consumida pelo sistema de até 13% e ainda atingindo os requisitos do protocolo. Os resultados deste trabalho foram publicados na conferência internacional em tecnologia de instrumentação e medidas de 2014 realizada na cidade de Montevidéu no Uruguai. / With the increase of Internet of Things applications and devices, many efforts to reduce power consumption in transceiver has been invested. Most of them targeted in RF frontend, converters, or in the digital baseband architecture individually. As result, there are few margins nowadays for power improvement in these blocks singly that compensates the huge hard work required. The next optimization step leads to a system level analysis seeking design space and new possibilities expansion. It is in this field that adaptive systems approaches are conquering ground recently. The solutions combines Radio Frequency (RF) and process variation techniques, Low Pass Filters (LPF) and Analog to Digital Converters (ADCs) adjustment for better performance, digital baseband bit width adaptive according to income packet SNR, configurable ADC resolution and topology, and others. In this scenario the current work proposes an adaptive system level architecture targeting ADC and digital receiver power reduction. It uses a robust algorithm for digital baseband receiver, a Sigma-Delta ADC, and suggests a feedback control block based on packet SNR measure. The system was designed for the IEEE 802.15.4 standard and required system modeling using Matlab tool, hardware description in Verilog language, and logic synthesis using X-FAB XC018 process for validation and power consumption estimation. Simulations show up to 15% of system power reduction and still meeting the standard requirements. The work results were published in the International Instrumentation and Measurement Technology Conference of 2014 occurred in Montevideo - Uruguay.

Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2017-04-03T19:47:16Z No. of bitstreams: 1 TalisonAugustoCorreiaDeMelo_DISSERT.pdf: 2029571 bytes, checksum: 673616a1cc8948fb5a2eee5aa45c9411 (MD5) / Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2017-04-06T20:49:24Z (GMT) No. of bitstreams: 1 TalisonAugustoCorreiaDeMelo_DISSERT.pdf: 2029571 bytes, checksum: 673616a1cc8948fb5a2eee5aa45c9411 (MD5) / Made available in DSpace on 2017-04-06T20:49:25Z (GMT). No. of bitstreams: 1 TalisonAugustoCorreiaDeMelo_DISSERT.pdf: 2029571 bytes, checksum: 673616a1cc8948fb5a2eee5aa45c9411 (MD5) Previous issue date: 2016-12-29 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior (CAPES) / Redes de Sensores Sem Fio (RSSFs) t?m se tornado cada vez mais comuns e estudos sobre elas t?m aumentado bastante. Este tipo de rede ?, geralmente, formada por muitos n?s sensores, o que dificulta testes em ambientes reais. Os simuladores de rede, como o Network Simulator 2 (NS-2), t?m sido adotados para avaliar RSSF, entretanto, este tipo de simula??o no NS-2 pode n?o ser uma tarefa f?cil para os usu?rios. Deste modo, ferramentas t?m sido desenvolvidas para proporcionar facilidades de simula??o sobre o NS-2, como o WINSS (Wireless Network Sensor Simulator). WINSS ? uma solu??o para o projeto e testes de simula??es de RSSFs de acordo com o padr?o IEEE 802.15.4 no NS-2. Em fun??o das limita??es que a vers?o original do WINSS det?m, este trabalho tem como objetivo estender as funcionalidades desta ferramenta, adicionando a ela a possibilidade de trabalhar com: mobilidade dos n?s, falhas na rede, modo beacon habilitado e desabilitado, entre outras funcionalidades. O WINSS gera scripts de simula??o (scripts TCL) e permite a configura??o de aspectos importantes, como modelo de energia, modelo de n?s m?veis, modelo de propaga??o de r?dio e modelo de falha na rede. Ele fornece um ambiente integrado com NAM, XGRAPH e Gnuplot, ferramentas que complementam o NS-2, e gera resultados, como vaz?o, atraso, pacotes perdidos, pacotes recebidos e consumo de energia. / Wireless Sensor Networks (WSNs) have become increasingly common and studies on them have increased a lot. This type of network is generally formed by many sensor nodes that make testing hard in real environments. The network simulators, as the Network Simulator 2 (NS-2), have been adopted to evaluate WSN, however, this type of simulation in the NS-2 may not be an easy task for users. Thus, tools were developed to provide simulation facilities on the NS-2, such as WINSS (Wireless Network Sensor Simulator). WINSS is a solution for the design and tests of simulations of WSNs in accordance to the IEEE 802.15.4 standard on NS-2. Due to the limitations of the original version of WINSS, this work aims to extend the features of this tool, adding to it the possibility of working with: node mobility, network faults, beacon-enabled and non beacon-enabled mode, among other functionality. The WINSS generates simulation scripts (TCL scripts) and allows the configuration of important aspects such as energy model, mobile nodes model, radio propagation model and network fault model. It provides an integrated environment with NAM, XGRAPH and Gnuplot, tools that complement the NS-2, and generates results, like throughput, delay, packets loss, packets received and energy consumption.

A segurança da informação, a diversidade de rotas entre os dispositivos da rede, o acesso ao meio de modo determinístico e isento de colisões e a mudança de canal frequente tornam a comunicação no protocolo WirelessHART robusta e confiável para utilização em meio industrial. Entretanto, para adoção crescente dessa tecnologia, é necessário que os fabricantes de sensores e atuadores industriais desenvolvam dispositivos WirelessHART. Disto surge a necessidade de criação de ferramentas capazes de auxiliar o desenvolvimento e depuração destes novos dispositivos de rede. O Analisador de rede WirelessHART é, sem dúvida, uma delas. Diversas abordagens são propostas para a análise de redes WirelessHART. Entretanto, em todas elas a utilização de um microcomputador como elemento do sistema inviabiliza sua utilização em campo. A presença de cabos, armazenamento local dos dados e exigência de baterias são alguns dos aspectos relevantes que devem ser levados em consideração quando o sistema precisa ser utilizado em campo. O presente trabalho propõe alternativas aos sistemas de análise de redes atuais apresentando duas propostas conceitualmente diferentes mas que cumprem os requisitos básicos para sua utilização em campo. Uma destas abordagens, baseada na proposta de integração entre um dispositivo de campo e o método inovador de captura de mensagens utilizando apenas um transceptor, é implementado como prova do conceito. / WirelessHART is a robust and reliable protocol for industrial environment usage because of its secure mechanism, the ability of programming several communication routes between network devices, and deterministic, free of collisions channel hopping medium access controller. However, in order to increase the adoption of this technology, it is necessary to increase the amount of WirelessHART manufacturers to develop industrial sensors and actuators devices. This leads to the necessity of create tools that will assist the development and debugging of new network compliant devices. The WirelessHART network analyzer is undoubtedly one of these tools. Various approaches are being proposed for the analysis of WirelessHART networks. However, all of them make use of a microcomputer as an element of the whole system and this difficults their use in real field applications. The presence of wires, lack of local data storage and other aspects such as batteries limitations must be considered when the users intend to use analysis systems in field. This work proposes alternatives to current analysis networks systems by presenting two conceptually different proposals that meet the basic requirements for the use in the field. One of them is based on the proposed integration between a field device and an innovative method of capturing messages using only one transceiver, which is implemented as proof of concept.