71. USER-CENTRIC DATA COLLECTION APPLICATION WITH ADAPTIVE BROADCAST RATE IN WSN WITHOUT ROUTING

Department: Computer Science & Engineering
Research Institute Affiliation: Center for Networked Systems (CNS)
Faculty Advisor(s): Tajana Simunic-Rosing

Primary Student
Name: Jinseok Yang
Email: jiy011@ucsd.edu
Phone: 858-534-4868
Grad Year: 2014

Abstract
A novel paradigm that focuses more on user experience is emerging for a large number of sensing applications. Rather than collecting data from all of the nodes in a sensor network and then distributing to individual users what is relevant for them, user centric applications running on personal mobile devices gather only the data relevant to a particular user moving through the area of interest. Such data gathering paradigm can be much more energy efficient than classical WSN approaches. This paper presents a novel, distributed technique for static sensor data collection by user centric applications based on periodic broadcasting of sensed data. Users, when interested, can collect information from the area where they are moving by activating a mobile receiver and acknowledging sensing services of interest. Sensor nodes present in the environment estimate user's mobility in an opportunistic way by building statistics of the acknowledgement messages. Data broadcasting rate of sensors adapts to dynamic traffic conditions at run time to reduce sensor node power consumption. As a result, we show a decrease of more than 90% in average power consumption of sensor nodes when compared to using query mechanism to receive the data. Furthermore, we show that by adapting sensor nodes' broadcasting interval we reduce the number of packets generated by more than 40% with negligible impact on the quality of the data collected by users.

Related Files:

  1. Poster_Jinseok.pdf

« Back to Posters or Search Results