• Energy saving solution:
    • Sensor (GPS) management
    • Data processing (Compressing, Simplification)
    • OS optimization
    • Data-aided algorithm
    • Computation Cloud Offloading
  • Applications: Wildlife monitoring, GPS localization, Context sensing, Social sensing


  • A common method is to use other (e.g. cheap) sensors to detect the user states and only turn on other sensors when necessary.

Special Topics

  • EEMSS: A Framework of Energy Efficient Mobile Sensing, MobiSys09
    • Taxonomy: Sensor management
    • Solution: Detect user states and only turn on all sensor after transition.
  • SenseLess: Less is More, MobiHeld09
    • Taxonomy: Sensor management
    • Solution: Use the less expensive sensors more often, and use the more expensive sensors less frequently.
  • a-Loc: Energy-Accuracy Trade-off for Continuous Mobile Device Location, MobiSys10
    • Taxonomy: Sensor management
    • Solution: Adaptes sensor energy (accuracy) to application (accuracy) needs and sensor characteristics.
  • RAPS: Energy-Efficient Rate-Adaptive GPS-based Positioning, MobiSys10
    • Taxonomy: GPS management
    • Solution: Detect user states and only turn on GPS when necessary.
    • Application: GPS localization
  • Improving Energy Efficiency of Location Sensing, MobiSys10
    • Taxonomy: Sensor management (Substitution/Suppression), OS optimization (synchronizes location sensing requests from multiple running applications)
    • Application: Localization
  • Adaptive GPS Duty Cycling and Radio Ranging, SenSys10
    • Taxonomy: Sensor management (Duty cycling)
    • Application: Wildlife monitoring, GPS localization
  • SenSLoc: Sensing Everyday Places and Paths using Less Energy, SenSys10
    • Taxonomy: Sensor management (based on mobility)
    • Application: Context sensing
  • Jigsaw: Continuous Sensing Engine, SenSys10
    • Taxonomy: Sensor management (pipline based on mobility and behavior)
  • SociableSense: Exploring the Trade-offs, MobiCom11
    • Taxonomy: Sensor management (adaptive sampling & computation distribution)
    • Application: Social sensing
  • CAPS: Energy-Efficient Positioning using Cell-ID Sequence Matching, MobiSys11
    • Taxonomy: Data-aided algorithm
    • Application: Localization
  • EnTracked: Energy-efficient Trajectory Tracking for Mobile Devices, MobiSys11
    • Taxonomy: Sensor management
  • E-gesture: Energy-efficient Ges- ture Recognition, SenSys11
    • Taxonomy: Sensor management
  • SmartDC: Mobility Prediction-based Smartphone Energy Optimization, SenSys11
    • Taxonomy: Sensor management + Data-aided algorithm
    • Solution: Adaptive duty cycling based on mobility predition
    • Application: Localization (Tracking)
  • ACE: Exploiting Correlation, MobiSys12
    • Taxonomy: Sensor management + Data-aided algorithm
    • Solution: Sensing plan based on rules correlation
  • CLEO: Energy Efficient GPS Sensing with Cloud Offloading, SenSys12
    • Taxonomy: Computation Cloud Offloading
    • Solution: Offload some GPS basic computation to cloud
  • PCS: Piggyback CrowdSensing, SenSys13
    • Taxonomy: Sensor Management
    • Solution: Predict user’s APP usage and piggyback the APP operation
  • Energy Efficient GPS Acquisition with Sparse-GPS, IPSN14
    • Taxonomy: Data processing (Compressing)
    • Application: Wildlife monitoring, GPS localization


[MobiSys09] Wang, Y., Lin, J., Annavaram, M., Jacobson, Q. A., Hong, J., Krishnamachari, B., & Sadeh, N. (2009, June). A framework of energy efficient mobile sensing for automatic user state recognition. In MobiSys (pp. 179-192). ACM.

[MobiHeld09] Ben Abdesslem, F., Phillips, A., & Henderson, T. (2009, August). Less is more: energy-efficient mobile sensing with senseless. In Proceedings of the 1st ACM workshop on Networking, systems, and applications for mobile handhelds(pp. 61-62). ACM.

[MobiSys10-aLoc] Lin, K., Kansal, A., Lymberopoulos, D., & Zhao, F. (2010, June). Energy-accuracy trade-off for continuous mobile device location. In MobiSys (pp. 285-298). ACM.

[MobiSys10-RAPS] Paek, J., Kim, J., & Govindan, R. (2010, June). Energy-efficient rate-adaptive GPS-based positioning for smartphones. In MobiSys (pp. 299-314). ACM.

[MobiSys10-Improving] Zhuang, Z., Kim, K. H., & Singh, J. P. (2010, June). Improving energy efficiency of location sensing on smartphones. In MobiSys (pp. 315-330). ACM.

[SenSys10-Adaptive] Jurdak, R., Corke, P., Dharman, D., & Salagnac, G. (2010, November). Adaptive GPS duty cycling and radio ranging for energy-efficient localization. In SenSys (pp. 57-70). ACM.

[SenSys10-SensLoc] Kim, D. H., Kim, Y., Estrin, D., & Srivastava, M. B. (2010, November). Sensloc: sensing everyday places and paths using less energy. In SenSys (pp. 43-56). ACM

[SenSys10-Jigsaw] Lu, H., Yang, J., Liu, Z., Lane, N. D., Choudhury, T., & Campbell, A. T. (2010, November). The Jigsaw continuous sensing engine for mobile phone applications. In SenSys (pp. 71-84). ACM.

[MobiCom11-Sociablesense] Rachuri, K. K., Mascolo, C., Musolesi, M., & Rentfrow, P. J. (2011, September). Sociablesense: exploring the trade-offs of adaptive sampling and computation offloading for social sensing. In MobiCom (pp. 73-84). ACM.

[MobiSys11-CAPS] Paek, J., Kim, K. H., Singh, J. P., & Govindan, R. (2011, June). Energy-efficient positioning for smartphones using cell-id sequence matching. In MobiSys (pp. 293-306). ACM.

[MobiSys11-EnTracked] Kjærgaard, M. B., Bhattacharya, S., Blunck, H., & Nurmi, P. (2011, June). Energy-efficient trajectory tracking for mobile devices. In MobiSys (pp. 307-320). ACM.

[SenSys11-E-gesture] Park, T., Lee, J., Hwang, I., Yoo, C., Nachman, L., & Song, J. (2011, November). E-gesture: a collaborative architecture for energy-efficient gesture recognition with hand-worn sensor and mobile devices. In SenSys (pp. 260-273). ACM.

[SenSys11-SmartDC] Chon, Y., Talipov, E., Shin, H., & Cha, H. (2011, November). Mobility prediction-based smartphone energy optimization for everyday location monitoring. In SenSys (pp. 82-95). ACM.

[MobiSys12-ACE] Nath, S. (2012). ACE:exploiting correlation for energy-efficient and continuous context sensing. , In MobiSys 12(8). ACM

[SenSys12-CLEO] Liu, J., Priyantha, B., Hart, T., Ramos, H. S., Loureiro, A. A., & Wang, Q. (2012). Energy efficient GPS sensing with cloud offloading. SenSys.

[SenSys13-PCS] Lane, N. D., Chon, Y., Zhou, L., Zhang, Y., Li, F., Kim, D., … & Cha, H. (2013). Piggyback CrowdSensing (PCS): energy efficient crowdsourcing of mobile sensor data by exploiting smartphone app opportunities. SenSys.

[IPSN14] Misra, P., Hu, W., Jin, Y., Liu, J., de Paula, A. S., Wirström, N., & Voigt, T. (2014, April). Energy efficient gps acquisition with sparse-gps. In IPSN (pp. 155-166). IEEE.