Towards inherent error-resilient voice encoding schemes in audio sensor networks

Authors:
Okan Turkes;Sebnem Baydere
Affiliations:
Department of Computer Engineering, Yeditepe University, Istanbul, Turkey;Department of Computer Engineering, Yeditepe University, Istanbul, Turkey
Venue:
Proceedings of the seventh ACM international workshop on Wireless network testbeds, experimental evaluation and characterization
Year:
2012

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Abstract

Recently, multimedia utilization in Wireless Sensor Networks (WSN) has shown that robust encoding methods are imperative for any application requiring a certain level of quality. During ubiquitous data exploitation in these lossy networks, a data-conserving method coherent with coding and transmission scheme is essential. This study centers upon several basic reconstruction methods for unapprehended parts in the voice data gathered at the end-point of a real multi-hop Audio Sensor Network (ASN). Considering gathered voice signals, error concealment (EC) methods are inherently applied over lost packets in the testbed. Around 6,000 real single-path transmission tests are verified with an instrumental simulation. Besides, EC schemes are supported with a multi-path transmission in which data aggregation occurs at certain intervals. Nearly 300,000 qualitative results show that perceptual quality can be preserved promisingly with the utilization of low cost affordable correction techniques.