Title :
A Matrix Completion Approach to Reduce Energy Consumption in Wireless Sensor Networks
Author :
Majumdar, Angshul ; Ward, Rabab K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
Abstract :
This paper proposes a new approach to save energy in a wireless sensor network (WSN) in which sensors lie on a uniform rectangular grid. At each data-acquisition/sampling instant, only a randomly selected subset of all the sensor nodes acquires and transmits the data. This problem can be solved by semi-definite programming, which is based on fixed point continuation with Bregman iterations.
Keywords :
energy conservation; iterative methods; wireless sensor networks; Bregman iterations; WSN; data acquisition; data sampling; data transmission; energy consumption reduction; energy saving; matrix completion approach; randomly selected subset; semidefinite programming; sensor nodes; uniform rectangular grid; wireless sensor networks; Base stations; Data compression; Energy consumption; Intelligent networks; Iterative methods; Mathematical programming; Mathematics; Minimization methods; Sampling methods; Wireless sensor networks; matrix completion; wireless sensor network;
Conference_Titel :
Data Compression Conference (DCC), 2010
Conference_Location :
Snowbird, UT
Print_ISBN :
978-1-4244-6425-8
Electronic_ISBN :
1068-0314
DOI :
10.1109/DCC.2010.66
