Range Extension of Passive Wake-up Radio Systems through Energy Harvesting

Abstract—Use of a passive wake-up radio can drastically increase the network lifetime in a sensor network by reducing or even completely eliminating unnecessary idle listening. A sensor node with a wake-up radio receiver (WuRx) can operate in an extremely low power sleep mode until it receives a trigger signal sent by a wake-up radio transmitter (WuTx). After receiving the trigger signal, the attached WuRx wakes up the sensor node to start the data communication. In this paper, we implement and compare the performance of three passive wake-up radio-based sensor nodes: 1) WISP-Mote, which is a sensor mote that employs an Intel WISP passive RFID tag as the WuRx; 2) EH-WISP-Mote, which combines a novel energy harvester with the WISP-Mote; and 3) REACH-Mote, which uses the energy harvester circuit combined with an ultra-low-power pulse generator to trigger the wake-up of the mote. Experimental results show that the wake-up range and wake-up delay for the EH-WISP-Mote are improved compared with the WISP-Mote, while providing the ability to perform both broadcast-based and ID-based wake-ups. On the other hand, the REACH-Mote, which can only provide broadcast-based wake-up, can achieve a much longer wake-up range than any known passive wake-up radio to date, achieving feasible wake-up at a range of up to 37ft. I

RF Energy Harvester-based Wake-up Receiver

Wake-up receivers (WuRxs) can improve the life- time of a wireless sensor network by reducing energy consump- tion from undesirable idle listening. The amplitude level of the incoming RF signal is used by a WuRx to generate an interrupt and wake up the radio of a sleeping sensor node. Existing passive WuRx designs are generally based on RFID tags that incur high cost and complexity. Thus, there is a need for cost-effective and low-complexity WuRxs suited for both long-range and directed wake-ups. In this work, we present a WuRx design using an RF energy harvesting circuit (RFHC). Experimental results show that our RFHC-based WuRx can provide a wake-up range sensitivity around 4 cm/mW at low transmit RF powers ( < 20 mW), which scales to a long wake-up range at high powers. Our design also obtains accurate selective wake-ups. We finally present simulation-based studies for optimizing the design of RFHCs that enhance decoding efficiency with improved rise and fall times

MH-REACH-Mote: supporting multi-hop passive radio wake-up for wireless sensor network

A passive wake-up radio in a wireless sensor network (WSN) has the advantage of increasing network lifetime by using a wake-up radio receiver (WuRx) to eliminate unnecessary idle listening. A sensor node equipped with a WuRx can operate in an ultra-low-power sleep mode, waiting for a trigger signal sent by the wake-up radio transmitter (WuTx). The passive WuRx is entirely powered by the energy harvested from radio transmissions sent by the WuTx. Therefore, it has the advantage of not consuming any energy locally, which would drain the sensor node's battery. Even so, the high amount of energy required to wake up a passive WuRx by a WuTx makes it difficult to build a multi-hop passive wake-up sensor network. In this paper, we describe and discuss our implementation of a battery-powered sensor node with multi-hop wake-up capability using passive WuRxs, called MH-REACH-Mote (Multi-hop-Range EnhAnCing energy Harvester-Mote). The MH-REACH-Mote is kept in an ultra-low-power sleep mode until it receives a wake-up trigger signal. Upon receipt, it wakes up and transmits a new trigger signal to power other passive WuRxs. We evaluate the wake-up range and power consumption of an MH-REACH-Mote through a series of field tests. Results show that the MH-REACH-Mote enables multi-hop wake-up capabilities for passive WuRxs with a wake-up range of 9.4m while requiring a reasonable power consumption for WuTx functionality. We also simulate WSN data collection scenarios with MH-REACH-Motes and compare the results with those of active wake-up sensor nodes as well as a low power listening approach. The results show that the MH-REACH-Mote enables a longer overall lifetime than the other two approaches when data is collected infrequently.Peer ReviewedPostprint (author's final draft

Range extension of passive wake-up radio systems through energy harvesting

Use of a passive wake-up radio can drastically increase the network lifetime in a sensor network by reducing or even completely eliminating unnecessary idle listening. A sensor node with a wake-up radio receiver (WuRx) can operate in an extremely low power sleep mode until it receives a trigger signal sent by a wake-up radio transmitter (WuTx). After receiving the trigger signal, the attached WuRx wakes up the sensor node to start the data communication. In this paper, we implement and compare the performance of three passive wake-up radio-based sensor nodes: 1) WISP-Mote, which is a sensor mote that employs an Intel WISP passive RFID tag as the WuRx; 2) EH-WISP-Mote, which combines a novel energy harvester with the WISP-Mote; and 3) REACH-Mote, which uses the energy harvester circuit combined with an ultra-low-power pulse generator to trigger the wake-up of the mote. Experimental results show that the wake-up range and wake-up delay for the EH-WISP-Mote are improved compared with the WISP-Mote, while providing the ability to perform both broadcast-based and ID-based wake-ups. On the other hand, the REACH-Mote, which can only provide broadcast-based wake-up, can achieve a much longer wake-up range than any known passive wake-up radio to date, achieving feasible wake-up at a range of up to 37 ft. © 2013 IEEE.Peer Reviewe

Building a green connected future: smart (Internet of) Things for smart networks

The vision of Internet of Things (IoT) promises to reshape society by creating a future where we will be surrounded by a smart environment that is constantly aware of the users and has the ability to adapt to any changes. In the IoT, a huge variety of smart devices is interconnected to form a network of distributed agents that continuously share and process information. This communication paradigm has been recognized as one of the key enablers of the rapidly emerging applications that make up the fabric of the IoT. These networks, often called wireless sensor networks (WSNs), are characterized by the low cost of their components, their pervasive connectivity, and their self-organization features, which allow them to cooperate with other IoT elements to create large-scale heterogeneous information systems. However, a number of considerable challenges is arising when considering the design of large-scale WSNs. In particular, these networks are made up by embedded devices that suffer from severe power constraints and limited resources. The advent of low-power sensor nodes coupled with intelligent software and hardware technologies has led to the era of green wireless networks. From the hardware perspective, green sensor nodes are endowed with energy scavenging capabilities to overcome energy-related limitations. They are also endowed with low-power triggering techniques, i.e., wake-up radios, to eliminate idle listening-induced communication costs. Green wireless networks are considered a fundamental vehicle for enabling all those critical IoT applications where devices, for different reasons, do not carry batteries, and that therefore only harvest energy and store it for future use. These networks are considered to have the potential of infinite lifetime since they do not depend on batteries, or on any other limited power sources. Wake-up radios, coupled with energy provisioning techniques, further assist on overcoming the physical constraints of traditional WSNs. In addition, they are particularly important in green WSNs scenarios in which it is difficult to achieve energy neutrality due to limited harvesting rates. In this PhD thesis we set to investigate how different data forwarding mechanisms can make the most of these green wireless networks-enabling technologies, namely, energy harvesting and wake-up radios. Specifically, we present a number of cross-layer routing approaches with different forwarding design choices and study their consequences on network performance. Among the most promising protocol design techniques, the past decade has shown the increasingly intensive adoption of techniques based on various forms of machine learning to increase and optimize the performance of WSNs. However, learning techniques can suffer from high computational costs as nodes drain a considerable percentage of their energy budget to run sophisticated software procedures, predict accurate information and determine optimal decision. This thesis addresses also the problem of local computational requirements of learning-based data forwarding strategies by investigating their impact on the performance of the network. Results indicate that local computation can be a major source of energy consumption; it’s impact on network performance should not be neglected

Wake-up communication system using solar panel and visible light communication

[ANGLÈS] One of the most promising energy-efficient communication methods is the use of wake-up receivers. In this work we propose and develop a wake-up communication system that uses Visible Light Communication (VLC) and an indoor solar panel with two functions: act as the receiver of the wake-up signal and harvest power from the light. After the reception of the wake-up signal an interrupt generated by the wake-up receiver wakes up the wireless device attached. Two configuration options are presented: an addressable and a broadcast-based wake-up configuration. In addressable configuration, after the reception of the wake-up signal a comparison is made with the identification code configured in the device; as consequence only the device with the match code is woken up. In broadcast-based wake-up configuration the wireless node attached wakes up after the detection of the carrier burst frequency, allowing use this system for wake up several nodes at once. Two options of configuration for the receiver are presented, and also the design of a transmitter who copes with flickering mitigation. Through experiments the feasibility of the system is shown and its performances is characterized in terms of wake-up probabilities for different distances. The effect of light interferences is evaluated, which shows that the achieved wake-up distances are reasonable for indoor scenarios.[CASTELLÀ] Uno de los más prometedores métodos para la comunicación con mayor eficiencia energética en las Redes de Sensores Inalámbricos (Wireless Sensor Networks - WSN) es el uso de wake-up receivers. Es este trabajo se propone y desarrolla un sistema de comunicación de wake-up que usa las comunicaciones por luz visible (Visible Light Communication - VLC) y un panel solar de interiores con dos funciones: actuar como receptor de la señal de wake-up y recoger energía de la luz. Después de la recepción de la señal el wake-up receiver genera una interrupción activando el nodo inalámbrico adjunto. Se presentan dos configuraciones para la generación de la interrupción: una basada en dirección y otra basada en la transmisión de la frecuencia portadora. En la configuración basada en dirección, después de la recepción de la señal de wake-up se hace una comparación con el código de identificación configurado en el dispositivo; como consecuencia sólo el dispositivo con el código correcto es activado. En la configuración basada en la transmisión de la frecuencia portadora, el nodo inalámbrico adjunto se activa con la detección de dicha frecuencia, lo cual permite usar el sistema para activar varios nodos a la vez. Se describen dos opciones de configuración para el receptor, así como el diseño de un transmisor diseñado para mitigar el parpadeo del LED. A través de experimentos se muestra la factibilidad del sistema y se caracteriza su desempeño en términos de la probabilidad de generar la interrupción de activación a diferentes distancias entre la fuente de luz y el receptor. Se evalúa el efecto de las interferencias de luz y se muestra que las distancias alcanzadas son razonables para escenarios intramuros.[CATALÀ] Un dels mètodes més prometedors per a la comunicació amb una major eficiència energètica en les Xarxes de Sensors Sense fil (Wireless Sensor Networks - WSN) és l'ús de wake-up receivers en el node receptor. Els wake-up receivers són dispositius d'ultra-baix consum de potència connectats al node sense fil que li permeten romandre en estat inactiu mentre esperen un senyal d'activació. En aquest treball es proposa i desenvolupa un sistema d’activació que usa les comunicacions per llum visible (Visible Light Communication - VLC) i un panell solar d’ús interior amb dues funcions: actuar com a receptor del senyal d’activació i recollir energia de la llum ambient. Després de la recepció del senyal de l’emissor, el wake-up receiver genera una interrupció activant el node sense fil adjunt. Es descriuen dues alternatives per a la generació de la interrupció: una basada en identificador i una altra basada en la transmissió de la freqüència portadora. En la configuració basada en identificador, després de la recepció del senyal de wake-up es fa una comparació amb el codi d'identificació al dispositiu i, com a conseqüència, només el dispositiu amb el codi correcte és activat. En la configuració basada en la transmissió de la freqüència portadora, el node sense fil adjunt s'activa amb la detecció d'aquesta freqüència, la qual cosa permet utilitzar el sistema per activar diversos nodes alhora. També se detallen dues opcions de configuració per al receptor així com el disseny d'un transmissor per mitigar el parpelleig del LED. Mitjançant experiments es mostra la factibilitat del sistema i s’avalua el seu funcionament en termes de la probabilitat de generar la interrupció d'activació a diferents distàncies entre la font de llum i el receptor. S'avalua l'efecte de les interferències del senyal i es mostra que les distàncies assolides són raonables per escenaris en interiors

Development of Aerial-Ground Sensing Network: Architecture, Sensor Activation, and Spatial Path-Energy Optimization

Title from PDF of title page viewed May 13, 2019Dissertation advisor: ZhiQiang ChenVitaIncludes bibliographical references (pages 101-110)Thesis (Ph.D.)--School of Computing and Engineering. University of Missouri--Kansas City, 2019The advent of autonomous navigation, positioning, and in general robotics technologies has enabled the maturity of small to miniature-sized unmanned aerial vehicles (UAVs; or colloquially called drones) and their wide use in engineering practice as a low-cost and effective geospatial remote sensing solution. Meanwhile, wireless sensing network technology (WSN) has also matured in recent years with many applications found in engineering practice. In this dissertation, a novel aerial ground wireless sensing network (AG-WSN) is developed, which is expected to transform a number of critical geospatial sensing and monitoring practices, such as precision agriculture, civil infrastructure protection, and disaster response. Towards the maximal energy efficiency, three research problems are concerned in this dissertation. First, a radio-frequency (RF) wake-up mechanism is investigated for aerial activation of ground sensors using a UAV platform. Second, the data transmission under wireless interference between the UAV and ground WSN is experimentally investigated, which suggests practical relations and parameters for aerial-ground communication configuration. Last, this dissertation theoretically explores and develops an optimization framework for UAV's aerial path planning when collecting ground-sensor data. An improved mixed-integer non-linear programming approach is proposed for solving the optimal spatial path-energy using the framework of the traveling-salesman problem with neighborhoods.Introduction -- Development of radio-frequency sensor wake-up through UAV as an aerial gateway -- Experimental investigation of aerial-ground network communication towards geospatially large-scale structural health monitoring -- Spatial path-energy optimization for tactic unmanned aerial vehicles operation in aerial-ground networking -- Conclusion and future wor

GESTÃO DE ENERGIA EM REDES DE SENSORES SEM FIOS

A energia é um recurso limitado em redes de sensores sem fios, pelo que uma gestão eficiente da energia disponível é crucial para aumentar o seu tempo de vida operacional. Assim, a gestão de energia em redes de sensores sem fios tem estado focada no desenvolvimento de mecanismos de activação sincronizada de nós “adormecidos” e de tecnologias de captação de energia do meio envolvente. O objectivo deste trabalho consistiu em explorar estas duas abordagens para criar condições de disponibilidade contínua de energia nos nós de redes sem fios: em primeiro lugar, explorando tecnologias de captação de energia de importantes fontes no meio envolvente: luz solar, diferenciais térmicos e campos electromagnéticos, e, também, cultivando métodos e tecnologias de despertar por radiofrequência (wake-up radio) como forma mais adequada de gerir as oportunidades de operação dos nós de uma rede, poupando energia no tempo restante. São apresentados estudos e soluções realizadas no âmbito industrial, bem como os métodos e resultados da análise realizada para a sua validação. Assim, conseguiu-se: Uma solução baseada na captação de energia solar, com uma eficiência superior a 70% (desde a saída do painel fotovoltaico), capaz de suportar sensores e repetidores numa rede, acumulando energia correspondente a autonomias de 16 e 40 horas, respectivamente, numa aplicação de diagnóstico de seccionadores de alta-tensão em subestações de distribuição de electricidade; Uma solução de captação de energia de diferenciais térmicos, para suportar sensores de diagnóstico do estado de funcionamento de purgadores, em linhas industriais de distribuição de vapor, permitindo uma disponibilidade permanente de energia, mesmo para diferenças de temperatura de uns meros 20 °C; Uma solução de captação de energia de campos magnéticos gerados por correntes eléctricas intensas, para aplicação em sensores sem fios a utilizar em redes de distribuição de electricidade, que, nas circunstâncias dos trabalhos propostos, amplamente demonstrou a viabilidade do conceito e foi industrialmente incorporado numa unidade sem fios para a monitorização de correntes eléctricas e o diagnóstico do estado de fusíveis em postos de transformação; Duas soluções de despertar por radiofrequência, sem prejuízo da latência de comunicação: (i) despertar colectivo, sincronizado para todos os nós da rede no volume de alcance-rádio do emissor, que se revelou eficaz até aos 37 metros, no interior, consumindo 7 μA e (ii) despertar selectivo, individualizando o nó a activar, com um alcance de 33 metros, igualmente no interior, consumindo 5 μA — em campo aberto, o alcance foi de 10 metros. Em suma: as soluções industriais realizadas no âmbito deste trabalho demonstram a viabilidade de suportar a alimentação em potência de nós de redes sem fios operando em diferentes regimes e dependendo de diversas fontes de energia, em natureza e potência disponível, que, no nosso entender constitui condição necessária ao sucesso industrial das redes de objectos sem fios

The energy problem in resource constrained wireless networks

Today Wireless Sensor Networks are part of a wider scenario involving several wireless and wired communication technology: the Internet Of Things (IoT). The IoT envisions billions of tiny embedded devices, called Smart Objects, connected in a Internet-like structure. Even if the integration of WSNs into the IoT scenario is nowadays a reality, the main bottleneck of this technology is the energy consumption of sensor nodes, which quickly deplete the limited amount of energy of available in batteries. This drawback, referred to as the energy problem, was addressed in a number of research papers proposing various energy optimization approaches to extend sensor nodes lifetime. However, energy problem is still an open issue that prevents the full exploitation of WSN technology. This thesis investigates the energy problem in WSNs and introduces original solutions trying to mitigate drawbacks related to this phenomenon. Starting from solutions proposed by the research community in WSNs, we deeply investigate critical and challenging factors concerning the energy problem and we came out with cutting-edge low-power hardware platforms, original software energy-aware protocols and novel energy-neutral hardware/software solutions overcoming the state-of-art. Concerning low-power hardware, we introduce the MagoNode, a new WSN mote equipped with a radio frequency (RF) front-end which enhances radio performance. We show that in real applicative contexts, the advantages introduced by the RF front-end keep packet re-trasmissions and forwards low. Furthermore, we present the ultra low-power Wake-Up Radio (WUR) system we designed and the experimental activity to validate its performance. In particular, our Wake-up Radio Receiver (WRx) features a sensitivity of -50 dBm, has a current consumption of 579nA in idle-listening and features a maximum radio range of about 19 meters. What clearly resulted from the experimental activity is that performance of the WRx is strongly affected by noise. To mitigate the impact of noise on WUR communication we implemented a Forward Error Correction (FEC) mechanism based on Hamming code. We performed several test to determine the effectiveness of the proposed solution. The outcome show that our WUR system can be employed in environment where the Bit Error Rate (BER) induced by noise is up to 10^2, vice versa, when the BER induced by noise is in the order of 10´3 or below, it is not worth to use any Forward Error Correction (FEC) mechanism since it does not introduce any advantages compared to uncoded data. In the context of energy-aware solutions, we present two protocols: REACTIVE and ALBA-WUR. REACTIVE is a low-power over-the-air programming (OAP) protocol we implemented to improve the energy efficiency and lower the image dissemination time of Deluge T2, a well-known OAP protocol implemented in TinyOS. To prove the effectiveness of REACTIVE we compared it to Deluge exploiting a testbed made of MagoNode motes. Results of our experiments show that the image dissemination time is 7 times smaller than Deluge, while the energy consumption drops 2.6 times. ALBA-WUR redesigns ALBA-R protocol, extending it to exploit advantages of WUR technology. We compared ALBA-R and ALBA-WUR in terms of current consumption and latency via simulations. Results show that ALBA-WUR estimated network lifetime is decades longer than that achievable by ALBA-R. Furthermore, end-to-end packet latency features by ALBA-WUR is comparable to that of ALBA-R. While the main goal of energy optimization approaches is motes lifetime maximization, in recent years a new research branch in WSN emerged: Energy Neutrality. In contrast to lifetime maximization approach, energy neutrality foresees the perennial operation of the network. This can be achieve only making motes use the harvested energy at an appropriate rate that guarantees an everlasting lifetime. In this thesis we stress that maximizing energy efficiency of a hardware platform dedicated to WSNs is the key to reach energy neutral operation (ENO), still providing reasonable data rates and delays. To support this conjecture, we designed a new hardware platform equipped with our wake-up radio (WUR) system able to support ENO, the MagoNode++. The MagoNode++ features a energy harvester to gather energy from solar and thermoelectric sources, a ultra low power battery and power management module and our WUR system to improve the energy efficiency of wireless communications. To prove the goodness in terms of current consumption of the MagoNode++ we ran a series of experiments aimed to assess its performance. Results show that the MagoNode++ consumes only 2.8 µA in Low Power Mode with its WRx module in listening mode. While carrying on our research work on solutions trying to mitigate the energy problem, we also faced a challenging application context where the employment of WSNs is considered efficient and effective: structural health monitoring (SHM). SHM deals with the early detection of damages to civil and industrial structures and is emerging as a fundamental tool to improve the safety of these critical infrastructures. In this thesis we present two real world WSNs deployment dedicated to SHM. The first concerned the monitoring of the Rome B1 Underground construction site. The goal was to monitor the structural health of a tunnel connecting two stops. The second deployment concerned the monitoring of the structural health of buildings in earthquake-stricken areas. From the experience gained during these real world deployments, we designed the Modular Monitoring System (MMS). The MMS is a new low-power platform dedicated to SHM based on the MagoNode. We validated the effectiveness of the MMS low-power design performing energy measurements during data acquisition from actual transducers