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Session 2: Paper 2

acrobat_pdf_icon.gifReliable data collection in highly disconnected environments using mobile phones

Authors: Brian DeRenzi, Yaw Anokwa, Tapan Parikh, and Gaetano Borriello (Univ. of Washington, USA)

Abstract: Over four and a half billion people live in the developing world and require access to services in the financial, agricultural, business, government and healthcare sectors. Due to constraints of the existing infrastructure (power, communications, etc), it is often difficult to deliver these services to remote areas in a timely and efficient manner. The CAM framework has found success as a flexible platform for quickly developing and deploying high-impact applications for these environments. Many of the applications built with CAM have relied on a model where a field worker with a mobile phone regularly returns from a disconnected environment to one with connectivity. In this connected state, the phone and a centralized server can exchange information and get the collected data backed up on reliable media. We propose extending CAM’s networking model to enable continual operation in disconnected environments. Using a set of heterogeneous paths made available through social and geographic relationships naturally present among workers, we describe a system for asynchronously routing data in a best-effort manner.

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