Location-Aware Routing for Data Aggregation in Sensor Networks
DocUID: 2004-018 Full Text:
PDF Author: Jonathan Beaver, Mohamed A. Sharaf, Alexandros Labrinidis, Panos K. Chrysanthis
Abstract: In-network aggregation has been proposed as one method for reducing energy consumption in networked sensors. In this paper, we explore the idea of influencing the construction of the routing trees for sensor networks with the goal of reducing the size of transmitted data for networks with in-network aggregation involving Group By queries. Toward this, we propose a group-aware network configuration method and present two algorithms, that "cluster" along the same path sensor nodes which belong to the same group. We evaluate our proposed scheme experimentally, in the context of existing innetwork aggregation schemes, with respect to energy consumption and quality of data. Overall, our routing tree construction scheme provides energy savings over existing network configuration schemes and improves quality of data in systems with imperfect quality of data such as TiNA.
Published In: GeoSensor Networks
Pages: pp. 189-209
Year Published: 2004
Note: (Post Proceedings of the 1st GeoSensor Networks Workshop (GSN'03), Portland, ME, 2003)
Project: TiNA Subject Area: Sensor Databases
Publication Type: Book Chapter
Sponsor: NSF ITR ANI-0325353