END: a topology-aware collection metric for sensor networks

Authors:
Daniele Puccinelli;Omprakash Gnawali;SunHee Yoon;Silvia Giordano;Leonidas Guibas
Affiliations:
University of Applied Sciences of Southern Switzerland;Stanford University;Stanford University;University of Applied Sciences of Southern Switzerland;Stanford University
Venue:
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Year:
2010

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Abstract

The performance of sensor network protocols is greatly affected by the network topology: the network layout, the link dynamics, and the sink placement. We propose the Expected Network Delivery (END), a protocol-independent collection metric that captures the impact of the topology on protocol performance. Our preliminary results with two collection protocols on various topologies on the MoteLab testbed show that the END metric enables a more systematic and topology-aware evaluation of protocol performance.