research-article

Enabling robust data collection in unplanned cross-technology interference of urban environments: demonstration abstract

Authors:

Mobashir Mohammad,

XiangFa Guo,

Mun Choon ChanAuthors Info & Claims

IPSN '16: Proceedings of the 15th International Conference on Information Processing in Sensor Networks

Article No.: 29, Pages 1 - 2

Published: 11 April 2016 Publication History

Get Access

Abstract

It is widely known that cross-technology interference (CTI) adversely affects the reliability of 802.15.4 (ZigBee) communications. With the 2.4 GHz ISM band getting increasingly congested because of multiple wireless technologies like IEEE 802.11 (WiFi), 802.16 (WiMax), and Bluetooth and common appliances like a microwave and a cordless phone sharing it, data collection becomes exceedingly challenging especially in unplanned CTI prevalent in urban environments.

This demonstration presents Oppcast, a robust and energy-efficient data collection protocol which carefully exploits a combination of spatial and channel diversity to eliminate the need for performing expensive channel estimation in advance. By exploiting multiple routes over multiple channels, packets can be reliably communicated to the sink even in severely interfered environments.

References

[1]

B. Al Nahas, S. Duquennoy, V. Iyer, and T. Voigt. Low-power listening goes multi-channel. In DCOSS. IEEE, 2014.

Digital Library

Google Scholar

[2]

M. Doddavenkatappa, M. C. Chan, and A. L. Ananda. Indriya: A low-cost, 3d wireless sensor network testbed. In TRIDENTCOM. Springer, 2012.

Crossref

Google Scholar

[3]

S. Duquennoy, O. Landsiedel, and T. Voigt. Let the tree bloom: scalable opportunistic routing with orpl. In SenSys. ACM, 2013.

Digital Library

Google Scholar

[4]

V. Handziski, A. Köpke, A. Willig, and A. Wolisz. Twist: a scalable and reconfigurable testbed for wireless indoor experiments with sensor networks. In REALMAN. ACM, 2006.

Digital Library

Google Scholar

[5]

R. Lim, F. Ferrari, M. Zimmerling, C. Walser, P. Sommer, and J. Beutel. Flocklab: A testbed for distributed, synchronized tracing and profiling of wireless embedded systems. In IPSN. IEEE, 2013.

Digital Library

Google Scholar

[6]

M. Mohammad, G. XiangFa, and M. C. Chan. Oppcast: Exploiting spatial and channel diversity for robust data collection in urban environments. In IPSN. IEEE, 2016.

Digital Library

Google Scholar

[7]

G. Werner-Allen, P. Swieskowski, and M. Welsh. Motelab: A wireless sensor network testbed. In IPSN. IEEE, 2005.

Digital Library

Google Scholar

Enabling robust data collection in unplanned cross-technology interference of urban environments: demonstration abstract
1. Networks
  1. Network types

Recommendations

Competition: Tackling Cross-technology Interference using Spatial and Channel Diversity for Robust Data Collection
EWSN ’17: Proceedings of the 2017 International Conference on Embedded Wireless Systems and Networks

Cross-technology interference is known to adversely affect the reliability of 802.15.4 communication. 802.15.4 competes with a lot of wireless technologies like IEEE 802.11 (WiFi), 802.16 (WiMAX), and Bluetooth for the shared 2.4 GHz ISM band. Common ...
Robust beamforming in interference channels with imperfect transmitter channel information

We consider K links operating concurrently in the same spectral band. Each transmitter has multiple antennas, while each receiver uses a single antenna. This setting corresponds to the multiple-input single-output interference channel. We assume perfect ...
Performance evaluation of spatially multiplexed MIMO systems with subset antenna transmission in interference limited environments

Transmit antenna selection in spatially multiplexed multiple-input multiple-output (MIMO) systems is a low complexity low-rate feedback technique, which involves transmission of a reduced number of streams from the maximum possible to improve the error ...

Comments

Information & Contributors

Information

Published In

IPSN '16: Proceedings of the 15th International Conference on Information Processing in Sensor Networks

April 2016

361 pages

ISBN:9781509008025

General Chair:
Guoliang Xing
Michigan State University

Publisher

IEEE Press

Publication History

Published: 11 April 2016

Check for updates

Qualifiers

Research-article

Conference

IPSN '16

Sponsor:

SIGBED

IPSN '16: The 15th International Conference on Information Processing in Sensor Networks

April 11 - 14, 2016

Vienna, Austria

Acceptance Rates

Overall Acceptance Rate 143 of 593 submissions, 24%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

0
Total Citations
44
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 24 Jan 2025

Other Metrics

View Author Metrics

Citations

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Recommendations

Competition: Tackling Cross-technology Interference using Spatial and Channel Diversity for Robust Data Collection

Robust beamforming in interference channels with imperfect transmitter channel information

Performance evaluation of spatially multiplexed MIMO systems with subset antenna transmission in interference limited environments

Comments

Information

Published In

Sponsors

Publisher

Publication History

Check for updates

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations