NDLI: Reliability vs. efficiency in distributed source coding for field-gathering sensor networks

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Reliability vs. efficiency in distributed source coding for field-gathering sensor networks

Content Provider	ACM Digital Library
Author	Marco, Daniel Neuhoff, David L.
Abstract	The tradeoff between reliability and efficiency in distributed source coding for field-gathering sensor networks is examined. In the considered networks, sensors measure some underlying random field, quantize their measurements, encode the quantized values into bits and transmit these directly, or via relays, to a collector that reconstructs the field. The bits from one sensor's encoder are regarded as a packet. The minimum achievable coding rate can be attained if the sensors are ordered and each applies Slepian-Wolf distributed coding to its data assuming the decoder knows the data from all prior sensors. However, with such a coding scheme, losing even one sensor's packet would cause decoding failure for all subsequent sensors' values. Therefore, one might consider other ways of applying Slepian-Wolf coding, where in trade for increased coding rate, fewer sensor values are lost when a packet is lost. In this paper, the tradeoff between efficiency, i.e. coding rate, and reliability, characterized by a loss factor, is considered for several different Slepian-Wolf based coding schemes as a function of the packet error probability and the size of the network.
Starting Page	161
Ending Page	168
Page Count	8
File Format	PDF
ISBN	1581138466
DOI	10.1145/984622.984647
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2004-04-26
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Efficiency Sensor networks Reliability Distributed source coding
Content Type	Text
Resource Type	Article

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