Title :
A bio-inspired time synchronization algorithm for wireless sensor networks
Author :
Liu, Li ; Xiao, Yang ; Zhang, Jingyuan
Author_Institution :
Dept. of Comput. Sci., Univ. of Alabama, Tuscaloosa, AL, USA
Abstract :
In a Wireless Sensor Network (WSN), time synchronization is highly desired because data collected from agglomerated sensors become truly meaningful when they are stamped with accurate time. Most of current studies on time synchronization continue to adapt algorithms from a general distributed system. Inspired by Optimal Foraging Theory (OFT) in ecology, we proposed a novel algorithm for time synchronization in wireless sensor networks in this paper. The new strategy reduces or avoids redundant message exchange in time synchronization and extends the lifetime of a sensor network by reducing energy expenditure of time synchronization.
Keywords :
ecology; synchronisation; wireless sensor networks; agglomerated sensors; bio-inspired time synchronization algorithm; ecology; optimal foraging theory; sensor network lifetime; wireless sensor networks; Animals; Base stations; Biosensors; Clocks; Environmental factors; Monitoring; Navigation; Synchronization; Vehicles; Wireless sensor networks; Bio-inspired Computing; Sensor Networks; Time synchronization;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5485576
