Title :
Power aware routing for sensor databases
Author :
Buragohain, Chiranjeeh ; Agrawal, Divyakant ; Suri, Sean
Author_Institution :
Dept. of Comput. Sci., California Univ., Santa Barbara, CA, USA
Abstract :
Wireless sensor networks offer the potential to span and monitor large geographical areas inexpensively. Sensor network databases like TinyDB [S. Madden et al., 2002] are the dominant architectures to extract and manage data in such networks. Since sensors have significant power constraints (battery life), and high communication costs, design of energy efficient communication algorithms is of great importance. The data flow in a sensor database is very different from data flow in an ordinary network and poses novel challenges in designing efficient routing algorithms. In this work we explore the problem of energy efficient routing for various different types of database queries and show that in general, this problem is NP-complete. We give a constant factor approximation algorithm for one class of query, and for other queries give heuristic algorithms. We evaluate the efficiency of the proposed algorithms by simulation and demonstrate their near optimal performance for various network sizes.
Keywords :
data communication; graph theory; optimisation; query processing; telecommunication network routing; wireless sensor networks; NP-complete problem; constant factor approximation algorithm; energy efficient communication algorithm; energy efficient routing; graph theory; heuristic algorithm; mathematical optimization; mathematical programming; power aware routing; routing algorithm; sensor database; wireless sensor network; Algorithm design and analysis; Approximation algorithms; Batteries; Costs; Data mining; Databases; Energy efficiency; Monitoring; Routing; Wireless sensor networks;
Conference_Titel :
INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings IEEE
Print_ISBN :
0-7803-8968-9
DOI :
10.1109/INFCOM.2005.1498455