Reproducing consistent wireless protocol performance across environments

Full scale experimentation with wireless networks in deployment environments is difficult. Therefore a common validation technique is to test a prototype network in a convenient environment prior to deployment. In this paper, we consider the problem of obtaining comparable protocol performance when the test and deployment environments differ in RF propagation environment and/or inter-node spacing. To achieve comparable protocol behavior in the two settings, we propose the concept of ''link usage spectrum''. Based on the hypothesis that the link usage spectrum is a gross predictor for network performance, we show how to replicate in the test setting the link usage spectrum of the protocol that is expected in the deployment setting. We show our technique for achieving comparable protocol behavior via experiments and simulations in multiple indoor and outdoor propagation environments. The link usage spectrum is protocol specific; we illustrate for a family of protocols how the link usage spectrum is calculated analytically, from the protocol metric for choosing forwarding links in the network, and how power scaling can be used to match the link usage spectrum across networks.

[1]  Marco Zuniga,et al.  Analyzing the transitional region in low power wireless links , 2004, 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2004. IEEE SECON 2004..

[2]  Ramesh Govindan,et al.  Understanding packet delivery performance in dense wireless sensor networks , 2003, SenSys '03.

[3]  Emre Ertin,et al.  Kansei: a high-fidelity sensing testbed , 2006, IEEE Internet Computing.

[4]  Kristofer S. J. Pister,et al.  Theoretical and Practical Limits to Sensitivity in IEEE 802.15.4 Receivers , 2007, 2007 14th IEEE International Conference on Electronics, Circuits and Systems.

[5]  Prasun Sinha,et al.  Sprinkler: a reliable and energy efficient data dissemination service for wireless embedded devices , 2005, 26th IEEE International Real-Time Systems Symposium (RTSS'05).

[6]  Ahmed Helmy,et al.  Energy-efficient forwarding strategies for geographic routing in lossy wireless sensor networks , 2004, SenSys '04.

[7]  Prasun Sinha,et al.  Learn on the Fly: Data-Driven Link Estimation and Routing in Sensor Network Backbones , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[8]  Hongwei Zhang,et al.  Wireless Testbed Bonsai , 2006, 2006 4th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks.

[9]  Robert Tappan Morris,et al.  a high-throughput path metric for multi-hop wireless routing , 2003, MobiCom '03.