In this paper, we propose a methodology for optimizing solar harvester with maximum power point tracking self-powered wireless sensor network (WSN) nodes. We focus on maximizing the harvester's efficiency in transferring energy from panel to storing device. A photovoltaic analytical model, based simplified parameter extraction procedure, is adopted. This model predicts instantaneous collected by helping design and optimization procedure. Moreover, detailed modeling of proposed understand...

A key challenge to the future of energy-harvesting systems is discontinuous power supply that often generated. We propose a new approach, Hibernus, which enables computation be sustained during intermittent supply. The approach has low energy and time overhead achieved by reactively hibernating: saving system state only once, when about lost, then sleeping until recovers. validate experimentally on processor with FRAM nonvolatile memory, allowing it hibernate using stored in its decoupling...

In wireless environments, transmission and reception costs dominate system power consumption, motivating research effort on new technologies capable of reducing the footprint radio, paving way for Internet Things. The most important challenge is to reduce consumption when receivers are idle, so called idle-listening cost. One approach proposes switching off main receiver, then introduces wake-up circuitry detecting an incoming transmission, optionally discriminating packet destination using...

Energy harvesters are being used to power autonomous systems, but their output is variable and intermittent. To sustain computation, these systems integrate batteries or supercapacitors smooth out rapid changes in harvester output. storage devices require time for charging increase the size, mass, cost of systems. The field transient computing moves away from this approach, by powering system directly prevent an application having restart computation after a outage, approaches such as...

The limited battery lifetime of modern embedded systems and mobile devices necessitates frequent recharging or replacement. Solar energy small-size photovoltaic (PV) are attractive solutions to increase the autonomy personal attempting achieve perpetual operation. We present a less solar-harvesting circuit that is tailored needs low-power applications. harvester performs maximum-power-point tracking solar collection under nonstationary light conditions, with high efficiency low cost...

We present a wireless sensor network (WSN) for monitoring indoor air quality, which is crucial people's comfort, health, and safety because they spend large percentage of time in environments. A major concern such networks energy efficiency gas sensors are power-hungry, the node must operate unattended several years on battery power supply. system with aggressive management at level, level presented. The designed very low sleep current consumption (only 8 μA), it contains metal oxide...

The problem of data sampling and collection in wireless sensor networks (WSNs) is becoming critical as larger are being deployed. Increasing network size poses significant challenges, for what concerns transmission coordination well lifetime. To tackle these problems, in-network compression techniques without centralized important solutions to extend In this paper, we consider a scenario which large WSN, based on ZigBee protocol, used monitoring (e.g., building, industry, etc.). We propose...

Over the last years, many different methods have been proposed for indoor localization and navigation services based on Radio frequency (RF) technology Signal Strength Indicator (RSSI). The accuracy achieved with such systems is typically low, mainly due to variability of RSSI values, unsuitable classic (e.g. triangulation). In this paper, we propose a novel approach multiple neural networks. We demonstrate experimental results that by training then activating networks, tailored user...

Unmanned aerial vehicles (UAVs) are nowadays largely employed in civil applications. One of the most promising applications is environmental monitoring (or risk assessment). We propose a battery-powered eNose board that can be embedded with any type drone. evaluated effectiveness sensing method by means field experiments using prototype as payload hexacopter. The results show analysis target parameters not perturbed air flow generated propellers. system suitable for mobile carrier (UAVs or...

Volatile chemical concentration and gas leakage recognition can be crucial in environmental monitoring for risk assessment. The use of Unmanned Aerial Vehicles (UAVs) to measure spatially distributed is great interest because it allows a Simultaneous Localization And Mapping (SLAM) the volatiles. This field quite recent and, so far, few efforts have been dedicated design integrated sensing instruments that focus on optimization features as weight, dimension energy autonomy, important...

Energy harvesting allows low-power embedded devices to be powered from naturally-ocurring or unwanted environmental energy (e.g. light, vibration, temperature difference). While a number of systems incorporating harvesters are now available commercially, they specific certain types source. availability can temporal as well spatial effect. To address this issue, ‘hybrid’ combine multiple on the same platform, but design these is not straight-forward. This paper surveys their design, including...

Artificial intelligence has smoothly penetrated several economic activities, especially monitoring and control applications, including the agriculture sector. However, research efforts toward low-power sensing devices with fully functional machine learning (ML) on-board are still fragmented limited in smart farming. Biotic stress is one of primary causes crop yield reduction. With development deep computer vision technology, autonomous detection pest infestation through images become an...

Monitoring of civil infrastructures is critically needed to track aging, damages and ultimately prevent severe failures which can endanger many lives. The ability monitor in a continuous fine-grained fashion the integrity wide variety buildings, referred as structural health monitoring, with low-cost, long-term measurements essential from both an economic life-safety standpoint. To address these needs, we propose low-cost wireless sensor node specifically designed support modal analysis over...

Low power and long-range communications are crucial features of the Internet Things (IoT) paradigm that is becoming essential even for industrial applications. Today, most promising communication technologies LoRaWAN Narrow Band IoT (NB-IoT), which driving a large ecosystem. In this article, we evaluate performance NB-IoT with accurate in-field measurements using same application context fair comparison in terms energy efficiency, lifetime, quality service, coverage. The transmission...

The ultra-wide band radio technology (UWB) is currently considered the de-facto standard for implementing precise indoor positioning systems. Several algorithms are being investigated finding best implementation in terms of scalability, refresh rate, and energy requirements. Among all proposed approaches, Downlink Time Difference Arrival (DTDoA) one most promising techniques capable tracking any number assets without decreasing measurement update rate. This paper proposes a model DTDoA...

Solar harvesting circuits have been recently proposed to increase the autonomy of embedded systems. One key design challenge is how optimize efficiency solar energy collection under non stationary light conditions. This paper proposes a scavenger that exploits miniaturized photovoltaic modules perform automatic maximum power point tracking at minimum cost. The system adjusts dynamically intensity variations and its measured consumption less than 1 mW. Experimental results show increments...

Recently, there has been a substantial interest in the design of systems that receive their energy from regenerative sources such as solar cells. In contrast to approaches minimize power consumption subject performance constraints, we are concerned with optimizing an application while respecting limited and time-varying amount available power. this paper, address management of, e.g., wireless sensor nodes which Based on prediction future energy, adapt parameters order maximize utility...

Recently, there has been a substantial interest in the design of systems that receive their energy from regenerative sources such as solar cells. In contrast to approaches attempt minimize power consumption we are concerned with adapting parameters application maximal utility is obtained while respecting limited and time-varying amount available energy. Instead solving optimization problem on-line which may be prohibitively complex terms running time consumption, propose parameterized...

Several wireless sensor network (WSN) applications leverage energy harvesting technologies such as small size photo-voltaic modules. The advantage of solar over other forms environmental is that the available power can be predicted with reasonable accuracy allowing implementation efficient management techniques. However accurate predictions future profiles expensive in term memory occupancy and complexity a trade-off between computational effort must evaluated. In this paper we compare...

There are emerging applications for standalone embedded systems where devices required to operate very long time with the minimum battery maintenance after deployment. Examples include wireless sensor networks, environmental monitoring, surveillance, civil infrastructure and industrial control. Energy harvesting has emerged as an innovative way keep small stationary hardware platforms running unattended years or even decades. This paper analyzes wind flow feasible energy source meet needs of...

Since in most wireless sensor network (WSN) scenarios nodes must operate autonomously for months or years, power management of the radio (usually consuming largest amount node's energy) is crucial. In particular, reducing consumption during listening plays a fundamental role whole energy balance node, since shutting down receiver when no messages are expected can remarkably increase autonomy. Idle hard challenge because incoming often unpredictable and developers have to trade off low high...

This paper presents the design, implementation, and characterization of a hardware platform applicable to wireless structural health monitoring (WSHM). The primary design goal is devise system capable persistent operation for duration life cycle target structure. It should be deployable during construction phase reconfigurable thereafter, suitable continuous long-term monitoring. In addition selecting most energy efficient useful components ensure lowest possible power consumption, it...

Compressive sensing (CS) is a new approach to simultaneous and compressing that highly promising for fully distributed compression in wireless sensor networks (WSNs). While wide investigation has been performed about theory practice of CS individual signals, real practical cases, general, involve multiple extending the problem from 1-D single-sensor 2-D multiple-sensors data. In this paper two most prominent frameworks on sparsity compressibility multidimensional signals signal ensembles,...

Scarce energy budget of battery-powered wireless sensor nodes calls for cautious power management not to compromise performance the system. To reduce both consumption and delay in energy-hungry networks latency-restricted surveillance scenarios, this paper proposes a multimodal two-tier architecture with wake-up radio receivers. In video applications, using information from distributed low-power pyroelectric infrared (PIR) sensors, which detect human presence limits activity cameras reduces...