Title :
Maximizing Data Preservation Time in Linear Sensor Networks
Author :
Hausen, Ryan ; Bin Tang ; Sambasivan, Samuel ; Lin, Simon
Author_Institution :
Dept. of Comput. Sci., Azusa Pacific Univ., Azusa, CA, USA
Abstract :
We study a new algorithmic problem called data preservation problem with maximum preservation time. It preserves data inside sensor networks (due to absence of the base station) by offloading overflow data from source node into the network, such that the data preservation time is maximized. We present an optimal and efficient algorithm for linear sensor networks.
Keywords :
wireless sensor networks; algorithmic problem; data preservation time maximization; linear sensor networks; overflow data offloading; source node; Algorithm design and analysis; Base stations; Computer science; Educational institutions; Energy consumption; Network topology; Topology; Data Preservation; Sensor Networks;
Conference_Titel :
Mobile Ad Hoc and Sensor Systems (MASS), 2014 IEEE 11th International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
978-1-4799-6035-4
DOI :
10.1109/MASS.2014.94
