Bubble-Sensing:Binding a Sensing Taskto the Physical World using mobile phones
IntroductionHere we present the bubble-sensing system thatsupport the persistent sensing of a particular location,as required by user requests. Conceptually, a user with a phone that hasopted into the bubble-sensing system visits a locationof interest, presses a button on his phone to affix thesensing request to the location, and then walks away.The sensing request persists at the location until thetimeout set by the initiator is reached.
Bubble SensingSensing tasks are created and maintained in the bubble-sensing system through the interaction of a number of virtual roles.Virtual roles- Bubble creator Bubble anchor Bubble carrier Sensing node
Bubble Creation Phase Bubble Server Bubble Anchor Bubble CreatorMobile Sensor Mobile Sensor
Bubble Maintenance PhaseDue to uncontrolled mobility of the creator ,the creator may leave the bubble location while task is still active.So to anchor the bubble to the location of intrest we use bubble anchors.Two variants for bubble anchor selection: 1. Location based 2. Mobility based
Challenges to maintenancey As we do not require sensing nodes to have knowledge of their absolute location, recipients of the task broadcast that are outside of the bubble area defined in the broadcast may still collect and upload data to the bubble server. This potentially makes the effective bubble size larger than the specified bubble size.y The bubble drift.
Bubble Restoration Phase Bubble ServerBubble carrier Bubble Anchor Mobile Sensor Mobile Sensor
Problemsy Hold the bubble in the area of interest.y Recover from lost bubble.y Exploit heterogeneous devices.
Privacy and security concerns the sharing of device resources with unknown third parties. Individual¶s privacy concerning their daily activities is at risk from other users if bubble sensing system is misused.
u1 Related work As the mobile phone is ubiquitous, and the discussion of a mobile phones used as a sensing device has some history no large- scale mobile cell phone sensor networks have yet been deployed in practice. In the last few years, the smart phone market has grown rapidly (e.g., Nokia N95, Apple iPhone), cultivating ground for research on mobile sensor networking.
ConclusionSo mobile sensor nodes collaborate andshare sensing and communication resourceswith each other in a cooperative sensingenvironment.So we presented an approach to supportpersistent location-specific task in a wirelesssensor network composed of mobile phones.
ReferencesA.T. Campbell, S.B. Eisenman, N.D. Lane, E. Miluzzo, R.A. Peterson,People-centric urban sensing, in: Proc. of 2nd ACM/IEEE Int l Conf. onWireless Internet, WICON 06, ACM Int l Conf. Proc. Series, vol. 220, No. 18,Boston, Aug 2 5, 2006, (Invited Paper).J. Burke, D. Estrin, M. Hansen, A. Parker, N. Ramanathan, S. Reddy, M.B.Srivastava, Participatory sensing, in: Proc. of 1st Workshop on WirelessSensor Web, WSW 06, Boulder, October 31, 2006.T. Abdelzaher, Y. Anokwa, P. Boda, J. Burke, D. Estrin, L. Guibas, A. Kansal,S. Madden and J. Reich, Mobiscopes for human spaces, IEEE PervasiveComputing 6 (2) (2007)S.B. Eisenman, A.T. Campbell, SkiScape sensing, in: Proc. of ACM 4th Int lConf. Embedded Networked Sensor Systems, SENSYS 04, 2006.