1. Mobile plus in-situ setup for IoT
Leverage the advantages of in-situ IoT deployments and mobile devices!
In-situ IoT deployments
Mobile devices
Large-num. low-cost dev.
Real-time awareness and alerting services & apps
Prior knowledge
High dependency on community infrastructure
On-demand deployment
Extended coverage of sensing & data collection
Reduced dependency of infrastructure
Mobile agents & objects

2. Smart building fire scenario
Normal operation
Fire operation
In-situ nodes in smart building IoT deployments
Temperature and humidity
Carbon dioxide and explosive gas
Occupancy and presence
Energy profile
Wi-Fi connectivity
Security (cameras) -
Emergencies (events)
Mobile devices carried by firefighters
On-demand crowdsourcing
Vitals
DMG
Calibration of sensors on in-situ nodes
Data collection from in-situ nodes

3. Sensor calibration in IoT systems
Crowd sensors from diff. vendors have diff. response to the same phenomenon. E.g. noise sensing with microphones on phones necessitates calibration.
Sensors degrade and drift over time. E.g. MQ family gas sensors on our SCALE boxes need periodical calibration.
In event detection systems, environmental changes affect accuracy of detection. The event detection process needs to be (re-)calibrated.

4. Planned multi-sensor calibration
In-situ sensors on deployed multi-sensor boxes in the smart building need occasional calibration. Calibration is done by comparing sensor reading series with that from reference sensors carried by trained personnel, e.g. firefighters.
Different types of sensors have different requirements on calibration period and accuracy.
Building map is represented by a directed graph, the weights on edges denoting the cost (e.g. time/distance) of movement.
At higher level, we determine which sensors need to be calibrated in each iteration (run), optimizing with the tradeoff between calibration workload and overall accuracy.
At lower level, in each iteration, we plan the paths for mobile agents to minimize the total time/distance travelled by all agents.