Paper Info
Title
Medusa: a programming framework for crowd-sensing applications
Abstract
The ubiquity of smartphones and their on-board sensing capabilities motivates crowd-sensing, a capability that harnesses the power of crowds to collect sensor data from a large number of mobile phone users. Unlike previous work on wireless sensing, crowd-sensing poses several novel requirements: support for humans-in-the-loop to trigger sensing actions or review results, the need for incentives, as well as privacy and security. Beyond existing crowd-sourcing systems, crowd-sensing exploits sensing and processing capabilities of mobile devices. In this paper, we design and implement Medusa, a novel programming framework for crowd-sensing that satisfies these requirements. Medusa provides high-level abstractions for specifying the steps required to complete a crowd-sensing task, and employs a distributed runtime system that coordinates the execution of these tasks between smartphones and a cluster on the cloud. We have implemented ten crowd-sensing tasks on a prototype of Medusa. We find that Medusa task descriptions are two orders of magnitude smaller than standalone systems required to implement those crowd-sensing tasks, and the runtime has low overhead and is robust to dynamics and resource attacks.
Year
DOI
Venue
2012
10.1145/2307636.2307668
MobiSys
Keywords
DocType
Citations 
novel requirement,crowd-sourcing system,mobile device,capabilities motivates crowd-sensing,high-level abstraction,crowd-sensing task,crowd-sensing application,medusa task description,novel programming framework,runtime system,mobile phone user
Conference
71
PageRank 
References 
Authors
2.46
16
4
Name
Order
Citations
PageRank
Moo-Ryong Ra159528.68
Bin Liu2128168.98
t la porta32438.53
ramesh govindan4154302144.86