Community Engagement Using Urban Sensing: Technology Development and Deployment Studies

Flanigan, Katherine A.; Lynch, Jerome P.

doi:10.1007/978-3-319-91638-5_5

Cited by 10 publications

(4 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…4. An Urbano wireless sensing architecture [39] is powered by a replenishable battery [40] that harvests energy from a solar panel [41] via a solar controller [42]. Since the maximum capacity of the battery considered is 58%, a MOSFET circuit [43] disconnects the solar panel when the battery's SoC exceeds 50%, as measured by a fuel gauge [44].…”

Section: Resultsmentioning

confidence: 99%

Optimal Event-Based Policy for Remote Parameter Estimation in Wireless Sensing Architectures Under Resource Constraints

Flanigan

Lynch

2022

IEEE Trans. Wireless Commun.

Self Cite

View full text Add to dashboard Cite

Energy is a resource bottleneck in wireless sensing networks (WSNs) relying on energy harvesting for their operations. This is pronounced in WSNs whose data is used for remote parameter estimation because only a subset of the measured information can be transmitted to the estimator. While much attention has been separately paid to communication schemes for energy-aware data transmission in WSNs under resource constraints and controlled parameter estimation, there has yet to emerge a censoring policy that minimizes the variance of a measured process' estimated component parameters subject to realistic constraints imposed by the WSN. Consequently, this paper presents the derivation of an optimal event-based policy governing data collection and transmission that accounts for energy and data buffer sizes, stochastic models of harvested energy and event arrivals, value of information of measured data, and temporal death. The policy is optimal in the sense that it maximizes the information rate of transmitted data, thereby producing the best possible estimates of the process parameters using the modified maximum likelihood estimation given the system constraints. Experimental and simulation-based results reflect these objectives and illustrate that the framework is robust against significant uncertainty in the initial parameter estimates.

show abstract

Section: Resultsmentioning

confidence: 99%

Optimal Event-Based Policy for Remote Parameter Estimation in Wireless Sensing Architectures Under Resource Constraints

Flanigan

Lynch

2022

IEEE Trans. Wireless Commun.

Self Cite

View full text Add to dashboard Cite

show abstract

“…This hypothesis was validated (t = 4.627 and p = 0), which indicates that people who are more involved in community life and more knowledgeable about environmental issues also appreciate the role of sensors in providing accurate data regarding environmental quality. Many authors are connecting the variables of community engagement and monitoring sensors [31,[46][47][48]. Mahajan et al [31] appreciate that community engagement concerning monitoring sensors strengthens the relationship between communities and researchers, with citizens perceiving the research as more useful when involved in the process.…”

Section: Discussionmentioning

confidence: 99%

Environmental Volunteering Projects Management: A Multivariate Analysis of Volunteers’ Perspective on the Knowledge and Skills Gained, Their Involvement in Community Life and the Role of Environmental Monitoring Sensors

Puiu

Udriștioiu

2023

Sustainability

View full text Add to dashboard Cite

The present study focuses on better understanding the benefits of environmental volunteering projects for volunteers and how the knowledge, skills, and attitudes they gain impact their future involvement in community life and in raising awareness towards environmental issues. Considering the recent technological developments and the applicability of sensors to monitor environmental quality, we also researched the impact of volunteering projects on the perception of volunteers regarding the role played by these sensors in providing valuable data, as well as to influence public decisions to have a healthier environment. The research methodology is based on the partial least squares structural equation modelling, the data being collected with a survey. The findings show a direct and positive influence on the skills gained by volunteers and their involvement in the community, as well as on their perception regarding the use of sensors to contribute to a cleaner environment. The results are useful to managers in schools, NGOs, public authorities, and businesses, who can collaborate to develop joint volunteering projects to tackle climate change and the pollution problem in the community.

show abstract

“…5, we have a cone divider, an Arduino Uno that is programmed to track directions with time information, an enclosure, a custom-build shield that harbors the amplifying circuit outlined in Section 2.2, GPS, and SD card module. Further energy savings can be substantially gained by integrating the hardware introduced with the Urbano urban sensing node, 17 however, we present a version here that integrates directly with available off-the-shelf hardware in this paper to reduce the barrier to entry for other researchers looking to readily capitalize on this work. The sensing module is powered by a 12V battery that is sustainably charged by a solar panel so there is no need to rely on fixed or wired energy sources.…”

Section: Assembling Sensing Modulementioning

confidence: 99%

Human trajectory estimation using analog privacy-preserving urban sensing technologies

Lin

Flanigan

2023

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2023

View full text Add to dashboard Cite

In recent years, there has been considerable interest globally in "smart cities," which aim to improve the performance of urban systems and the experiences of citizens. However, growing interest in smart cities has given rise to many underlying challenges. Society is at a critical juncture where the decisions made to integrate technologies into daily life can either help create an equitable future, or will heighten the inequitable distribution of resources, knowledge, and power in society and infringe on privacy. Nowhere is this more notable than in civil infrastructure systems (e.g., transportation, social infrastructure, the grid, buildings), which are the foundation of society, provide basic public services to communities, and play a critical role in the distribution and usage of energy, goods, and mobility resources. Underpinning the management of many of these civil infrastructure systems is the spatio-temporal tracking of humans and the measurement of human-infrastructure interaction. Already, we have witnessed countless engagements where camera-based sensing systems are designed and deployed to track humans in public spaces. While camera-based solutions often promise to anonymize data by processing video footage using automated data processing tools, many communities are resistant to trust camera-based monitoring due to infringements on privacy and overarching notions of "Big Brother" within the community. Consequently, there is a need to track humans spatially and temporally in a way that minimizes reliance on privacy-invasive sensing technologies (e.g., cameras). In this paper, we design and exploit a human-tracking sensing network that leverages low-power, privacy-preserving passive infrared (PIR) sensors, which merit energy efficiency (i.e., no reliance on fixed/wired energy sources) and full privacy protection. To fill the gaps of existing work, we leverage the analog capabilities of PIR sensors to extract and quantify greater information--direction of travel, distance relative to the sensor, and speed--with a single PIR sensor, which would otherwise require multiple PIR sensors operating in a binary fashion in series to gain only partial information. Improved understanding and quantification of the information that can be extracted from the PIR sensor's signal will pave the way for the development of human tracking networks that can explicitly consider tradeoffs between the value of information gained from a sensor and community-driven privacy concerns. To make this work more accessible by diverse research communities, the electrical software and hardware developed are open-sourced and detailed.

show abstract

Community Engagement Using Urban Sensing: Technology Development and Deployment Studies

Cited by 10 publications

References 9 publications

Optimal Event-Based Policy for Remote Parameter Estimation in Wireless Sensing Architectures Under Resource Constraints

Optimal Event-Based Policy for Remote Parameter Estimation in Wireless Sensing Architectures Under Resource Constraints

Environmental Volunteering Projects Management: A Multivariate Analysis of Volunteers’ Perspective on the Knowledge and Skills Gained, Their Involvement in Community Life and the Role of Environmental Monitoring Sensors

Human trajectory estimation using analog privacy-preserving urban sensing technologies

Contact Info

Product

Resources

About