Conference Paper

Air Quality Monitoring with SensorMap

Inst. for Software Integrated Syst., Vanderbilt Univ., Nashville, TN;
DOI: 10.1109/IPSN.2008.50 Conference: Information Processing in Sensor Networks, 2008. IPSN '08. International Conference on
Source: IEEE Xplore

ABSTRACT The mobile air quality monitoring network (MAQUMON) is presented. The system consists of a number of car-mounted sensor nodes measuring different pollutants in the air. The data points are tagged with location and time utilizing an on-board GPS. Periodically, the measurements are uploaded to a server, processed and then published on the SensorMap portal. Given a sufficient number of nodes and diverse mobility patterns, a detailed picture of the air quality in a large area will be obtained at a low cost.

  • [Show abstract] [Hide abstract]
    ABSTRACT: Current building designs are not energy-efficient enough due to many reasons. One of them is the centralized control and fixed running policies (e.g. HVAC system) without considering the occupants' actual usage and adjusting the energy consumption accordingly. In this paper, we discuss our multi-disciplinary project on a green building testbed on which we introduce mobile location service into the energy policy control by using the now popular GPS-embedded smart phones. Every occupant in the building who has a smart phone is able to monitor their usage and adjust their own energy policy in real-time. This changes the centralized control inside the building into a distributed control paradigm. It allows the occupants with different roles to participate in the energy consumption reduction efforts. Latest information technologies such as mobile smart device-based location service, distributed control, and cloud computing are used in this project. The major idea and experimental system is expected to be applied to not only green buildings but also vast number of the conventional buildings to reduce the energy consumption without sacrificing the human comfort and convenience.
    Energytech, 2012 IEEE; 01/2012
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: The paper presents theory, algorithms, measurements of experiments, and simulations for detecting rare geospatial events by analyzing streams of data from large numbers of heterogeneous sensors. The class of applications are rare events - such as events that occur at most once a month - and that have very high costs for tardy detection and for false positives. The theory is applied to an application that warns about the onset of shaking from earthquakes based on real-time data gathered from different types of sensors with varying sensitivities located at different points in a region. We present algorithms for detecting events in Cloud computing servers by exploiting the scalability of Cloud computers while working within the limits of state synchronization across different servers in the Cloud. Ordinary citizens manage sensors in the form of mobile phones and tablets as well as special-purpose stationary sensors; thus the geospatial distribution of sensors depends on population densities. The distribution of the locations of events may, however, be different from population distributions. We analyze the impact of population distributions (and hence sensor distributions as well) on the efficacy of event detection. Data from sensor measurements and from simulations of earthquakes validate the theory.
    Proceedings of the Fifth ACM International Conference on Distributed Event-Based Systems, DEBS 2011, New York, NY, USA, July 11-15, 2011; 01/2011
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Can cell phones be used to detect earthquakes? The Community Seismic Network (CSN) is building a dense sensor network from inexpensive and community owned sensors, such as cell phones and USB accelerometers. Detecting rare events such as earthquakes is a difficult sensing problem, and is compounded by the wide variations among sensors in a heterogeneous community network. We demonstrate an end-to-end system using Android cell phones and a cloud fusion center that allows participants to create “mock earthquakes”. Upon detecting such an event, the cloud fusion center issues real-time alerts to the phones. A map-based interface to the fusion center is projected nearby, displaying the information reported by the phones.
    Proceedings of the 10th International Conference on Information Processing in Sensor Networks, IPSN 2011, April 12-14, 2011, Chicago, IL, USA; 01/2011


Available from