01784nas a2200361   4500000000100000008004100001260000900042653001300051653001400064653003400078653002600112653003500138653000900173653003000182653001400212653002000226653002400246653002500270653002100295653001200316653001700328653002900345653001600374653003000390653001900420100001800439700001700457700001600474700001700490700001700507245006700524520083100591       2015                            d  bIEEE10aAndroids10aBatteries10abattery consumption reduction10acollaborative sensing10acollaborative sensing platform10aCoSP10aGlobal Positioning System10agroupware10aHumanoid robots10amobile applications10aMobile Collaboration10amobile computing10aSensors10aSmart phones10asmartphone-based sensing10asmartphones10auser behavioural patterns10auser modelling1 aEsunly Medina1 aDavid López1 aDolors Royo1 aRoc Meseguer1 aSergio Ochoa00aCoSP: A Collaborative Sensing Platform for mobile applications3 aSmartphones are powerful sensing devices that can help us capture not only information from the environment, but also the users’ activities. Based on that information, mobile systems can identify the user’s behavioural patterns and adjust their services to better fit his needs. This paper presents a software infrastructure, named Collaborative Sensing Platform (CoSP), which facilitates the automatic collection and collaborative distribution of the data gathered from smartphone sensors. CoSP also helps to save energy during the sensing and data sharing processes. This platform was evaluated empirically in a laboratory experiment. The preliminary results indicate that this infrastructure is useful not only for data gathering and sharing, but also for reducing the battery consumption involved in the sensing tasks.