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Characterization of link asymmetry in wireless sensor networks

Authors:

Nadeem Ahmed,

Prasant Misra,

Sanjay Jha,

Diet OstryAuthors Info & Claims

SenSys '09: Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems

Pages 373 - 374

https://doi.org/10.1145/1644038.1644108

Published: 04 November 2009 Publication History

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Abstract

Recent experimental studies in wireless sensor networks (WSNs) have confirmed that asymmetry in the wireless links has a significant effect on the performance of WSN network protocols. Protocols which work in simulation studies often fail when link asymmetry is encountered in real deployments. Characterization of link asymmetry is thus of paramount importance for the design and operation of re-silient WSN protocols in real scenarios. This paper details an empirical study to characterize link asymmetry in WSNs.

There are several factors that contribute to link asymmetry in WSNs, the major ones being environmental effects and hardware performance. In this work, we used a systematic approach to measure the effects of hardware performance, i.e. transmitter, receiver and antenna characteristics, on link asymmetry using off-the-shelf WSN devices such as Xbow Mica2 and MicaZ motes. We conducted experiments to study the variations in spectrum utilization in these WSN devices, for both wired and wireless connections, and to ascertain the effects of any frequency and amplitude mismatches on link symmetry between nodes in transmission and reception.

Reference

[1]

R. P. Liu, Z Rosberg, I. B. Collings, C. Wilson, Y. Dong and S. Jha, Overcoming Radio Link Asymmtery in Wireless Sensor Networks. 2008: PMIRC.

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Characterization of link asymmetry in wireless sensor networks
1. Applied computing

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Information

Published In

SenSys '09: Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems

November 2009

438 pages

ISBN:9781605585192

DOI:10.1145/1644038

General Chair:
David Culler
University of California, Berkeley
,
Program Chairs:
Jie Liu
Microsoft Research
,
Matt Welsh
Harvard University

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 November 2009

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SenSys09

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SenSys09: The 7th ACM Conference on Embedded Network Sensor Systems

November 4 - 6, 2009

California, Berkeley

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Overall Acceptance Rate 174 of 867 submissions, 20%

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An efficient cluster-based communication protocol for wireless sensor networks

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