Piggyback CrowdSensing (PCS): energy efficient crowdsourcing of mobile sensor data by exploiting smartphone app opportunities.
Nicholas D. LaneYohan ChonLin ZhouYongzhe ZhangFan LiDongwon KimGuanzhong DingFeng ZhaoHojung ChaPublished in: SenSys (2013)
Keyphrases
- sensor data
- energy efficient
- mobile applications
- sensor networks
- sensor nodes
- mobile devices
- wireless sensor networks
- android platform
- energy consumption
- m learning
- mobile phone
- mobile users
- user experience
- base station
- energy efficiency
- android application
- mobile platform
- sensor readings
- smart phones
- mobile environments
- mobile technologies
- context aware
- data streams
- data collection
- sensor measurements
- health monitoring
- data dissemination
- data transmission
- human activities
- mobile learning
- end users
- routing protocol
- mobile computing
- routing algorithm
- raw sensor data
- data sets
- fully functional
- low cost sensors
- database
- location information
- end to end
- intelligent agents
- expert systems
- real time