Enhancing data persistence of wireless networks: Where NeMo meets OFDM

In large-scale wireless systems, networks are highly dynamic and nodes are not fully reliable due to limited energy resources or failures. Wireless multipath fading links make the network data delivery more challenging. To cope with network dynamics and link failures, we propose a novel network modu...

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Bibliographic Details
Published in2012 46th Annual Conference on Information Sciences and Systems (CISS) pp. 1 - 6
Main Authors Giwan Choi, Sungeun Lee, Xiaoli Ma
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2012
Subjects
Artificial neural networks
Data models
Decoding
Dynamic scheduling
Modulation
Receivers
Wireless sensor networks
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Summary:In large-scale wireless systems, networks are highly dynamic and nodes are not fully reliable due to limited energy resources or failures. Wireless multipath fading links make the network data delivery more challenging. To cope with network dynamics and link failures, we propose a novel network modulation (NeMo) approach for OFDM over large-scale wireless systems. NeMo enhances data persistence by guaranteeing the symbol recovery at the sink(s) without pre-storing or delaying the decoding process by collecting enough symbols. We consider practical channel conditions and show that NeMo enjoys diversity from grouping and subcarrier mapping strategies in OFDM. The simulation results confirm that NeMo becomes more efficient when it is combined with OFDM in terms of reliability and successful data persistence for unreliable wireless networks.
ISBN:9781467331395
1467331392
DOI:10.1109/CISS.2012.6310853