Privacy-Preserving Collaborative Blind Macro-Calibration of Environmental Sensors in Participatory Sensing
Journal Title: EAI Endorsed Transactions on Internet of Things - Year 2017, Vol 3, Issue 10
Abstract
The ubiquity of ever-connected smartphones has lead to new sensing paradigms that promise environmental monitoring in unprecedented temporal and spatial resolution. Everyday people may use low-cost sensors to collect environmental data. However, measurement errors increase over time, especially with low-cost air quality sensors. Therefore, regular calibration is important. On a larger scale and in participatory sensing, this needs be done in-situ. Since for this step, personal sensor data, time and location need to be exchanged, privacy implications arise. This paper presents a novel privacy-preserving multi-hop sensor calibration scheme, that combines Private Proximity Testing and an anonymizing MIX network with cross-sensor calibration based on rendezvous. Our evaluation with simulated ozone measurements and real-world taxicab mobility traces shows that our scheme provides privacy protection while maintaining competitive overall data quality in dense participatory sensing networks.
Authors and Affiliations
Jan-Frederic Markert, Matthias Budde, Gregor Schindler, Markus Klug, Michael Beigl
Design and Analysis of a Wireless Nanosensor Network for Monitoring Human Lung Cells
Thanks to nanotechnology, it is now possible to fabricate sensor nodes below 100 nanometers in size. Although wireless communication at this scale has not been successfully demonstrated yet, simulations confirm that thes...
Industrial Internet of Things - Strategic Way to Optimize the Production Environment in Small Enterprises
Customization and digitization of production processes represent the current trend in the development of industrial production, to which larger and smaller companies have to adapt. Especially in small company environment...
Modeling and Experimental Analysis of an In-body Area Nanonetwork
Nanotechnology is gaining more and more consensus in several application fields, comprised in-body applications. Innovative therapies and diagnostic approaches are based on the use of injections or oral delivery of nanop...
BER and NCMSE based Estimation algorithms for Underwater Noisy Channels
Channel estimation and equalization of sparse multipath channels is a real matter of concern for researchers in the recent past. Such type of channel impulse response is depicted by a very few significant non-zero taps t...
Powering environment monitoring Wireless Sensor Networks: A review of design and operational challenges in Eastern Africa
This paper discusses the various design and operational challenges that we have met in providing power to Wireless Sensor Networks (WSNs) deployed in environment monitoring in East Africa. While such deployments in Afric...