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WBroximity: Mobile participatory sensing for WLAN- and Bluetooth-based positioning.

, , , , , and . LCN, page 890-896. IEEE Computer Society, (2010)

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A survey on privacy in mobile participatory sensing applications., , , and . Journal of Systems and Software, 84 (11): 1928-1946 (2011)SFHC.KOM: Stateful header compression for wireless sensor networks., , , and . LCN, page 598-605. IEEE Computer Society, (2010)Lightweight clustering of spatio-temporal data in resource constrained mobile sensing., , , and . WOWMOM, page 1-9. IEEE Computer Society, (2015)A Methodology for Wireless Sensor Network Prototyping with Sophisticated Debugging Support., , and . IEEE International Workshop on Rapid System Prototyping, page 82-88. IEEE Computer Society, (2008)Detecting anomalous electrical appliance behavior based on motif transition likelihood matrices., and . SmartGridComm, page 680-685. IEEE, (2016)RoCoCo: Receiver-Initiated Opportunistic Data Collection and Command Multicasting for WSNs., and . EWSN, volume 8965 of Lecture Notes in Computer Science, page 218-233. Springer, (2015)Privacy Bubbles: User-Centered Privacy Control for Mobile Content Sharing Applications., , , , and . WISTP, volume 7322 of Lecture Notes in Computer Science, page 71-86. Springer, (2012)Integrating wireless sensor nodes and smartphones for energy-efficient data exchange in smart environments., , , and . PerCom Workshops, page 652-657. IEEE Computer Society, (2013)On the energy efficiency of lossless data compression in wireless sensor networks., , , and . LCN, page 873-880. IEEE Computer Society, (2009)Predicting the Power Consumption of Electric Appliances through Time Series Pattern Matching., , and . BuildSys@SenSys, page 30:1-30:2. ACM, (2013)