Maximizing Gathered Samples in Wireless Sensor Networks with Slepian-Wolf Coding

We consider an energy constrained wireless sensor network, with arbitrary number of nodes, where source nodes utilize Slepian-Wolf (SW) coding before transmission to a joint decoder. We investigate optimal and near-optimal SW coding rates, transmit powers, and transmit durations that maximize the nu...

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Bibliographic Details
Published in:	IEEE transactions on wireless communications Vol. 11; no. 2; pp. 751 - 761
Main Authors:	Tianqi Wang, Vosoughi, A., Heinzelman, W., Seyedi, A.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.02.2012 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Applied sciences circuit power consumption Coding Coding, codes Constraints Decoders Decoding Detection, estimation, filtering, equalization, prediction Encoding Exact sciences and technology Exact solutions Information, signal and communications theory Joints Linear approximation Networks Optimization Power demand rate allocation residual energy Sensors Services and terminals of telecommunications Signal and communications theory Signal, noise Slepian-Wolf coding Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Telemetry. Remote supervision. Telewarning. Remote control Transmission and modulation (techniques and equipments) transmission duration transmit power adaptation Wireless communication Wireless sensor networks Performance evaluation Wireless telecommunication Resource allocation transmit power adaptation Closed form equation Optimization Remote sensing Coding Electric power consumption Signal detection Channel capacity residual energy Power circuit Durability Slepian-Wolf coding Decoding rate allocation circuit power consumption Residual impurity Optimal solution Optimal code Wireless network Numerical simulation Resource management Sensor array transmission duration
ISSN:	1536-1276, 1558-2248
Online Access:	Get full text
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