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Interference aware channel assignment for structured wireless sensor networks

Authors:

E. Jamhour,

M. E. Pellenz,

M. C. Penna,

R. D. Souza, and

G. BranteAuthors Info & Claims

SAC '15: Proceedings of the 30th Annual ACM Symposium on Applied Computing

April 2015

Pages 716 - 719

https://doi.org/10.1145/2695664.2695977

Published: 13 April 2015 Publication History

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Abstract

We present a new strategy for channel allocation for structured wireless networks that exploits the multitude of channels offered by low-power radio technologies. It permits to use multiple channels with single-radio sensor nodes, assuming that only the sinks are multi-radio. The channel assignment strategy permits to reduce as much as possible coordinated and non-coordinated interference. Coordinate interference represents a competition for bandwidth, and non-coordinated interference is the principal cause of collisions. The simulations of networks planned according to our approach indicate a significant gain in per-flow capacity and quality of transmission.

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Interference aware channel assignment for structured wireless sensor networks

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Published In

SAC '15: Proceedings of the 30th Annual ACM Symposium on Applied Computing

April 2015

2418 pages

ISBN:9781450331968

DOI:10.1145/2695664

Conference Chairs:
Roger L. Wainwright
University of Tulsa
,
Juan Manuel Corchado
University of Salamanca, Spain
,
Program Chairs:
Alessio Bechini
University of Pisa, Italy
,
Jiman Hong
Soongsil University, South Korea

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 13 April 2015

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SAC 2015: Symposium on Applied Computing

April 13 - 17, 2015

Salamanca, Spain

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SAC '15 Paper Acceptance Rate 291 of 1,211 submissions, 24%;

Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Defending wireless sensor networks from radio interference through channel adaptation

Tree-based channel assignment schemes for multi-channel wireless sensor networks

Channel Estimation for Self-Interference Cancellation in Full-Duplex Wireless Systems

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Recommendations

Defending wireless sensor networks from radio interference through channel adaptation

Tree-based channel assignment schemes for multi-channel wireless sensor networks

Channel Estimation for Self-Interference Cancellation in Full-Duplex Wireless Systems

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