Title :
Data gathering tours in sensor networks
Author :
Meliou, Alexandra ; Chu, David ; Guestrin, Carlos ; Hellerstein, Joseph ; Hong, Wei
Author_Institution :
California Univ., Berkeley, CA
Abstract :
A basic task in sensor networks is to interactively gather data from a subset of the sensor nodes. When data needs to be gathered from a selected set of nodes in the network, existing communication schemes often behave poorly. In this paper, we study the algorithmic challenges in efficiently routing a fixed-size packet through a small number of nodes in a sensor network, picking up data as the query is routed. We show that computing the optimal routing scheme to visit a specific set of nodes is NP-complete, but we develop approximation algorithms that produce plans with costs within a constant factor of the optimum. We enhance the robustness of our initial approach to accommodate the practical issues of limited-sized packets as well as network link and node failures, and examine how different approaches behave with dynamic changes in the network topology. Our theoretical results are validated via an implementation of our algorithms on the TinyOS platform and a controlled simulation study using Matlab and TOSSIM
Keywords :
approximation theory; mathematics computing; telecommunication network routing; telecommunication network topology; wireless sensor networks; Matlab; NP-complete; TOSSIM; TinyOS platform; approximation algorithm; data gathering tour; network topology; sensor network routing; Approximation algorithms; Cost function; Histograms; Intelligent networks; Network topology; Permission; Robustness; Routing; Sensor phenomena and characterization; Wireless sensor networks; Routing Algorithms; Sensor Networks; Splitting Tours;
Conference_Titel :
Information Processing in Sensor Networks, 2006. IPSN 2006. The Fifth International Conference on
Conference_Location :
Nashville, TN
Print_ISBN :
1-59593-334-4
DOI :
10.1109/IPSN.2006.244055