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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Vydáno v:	IEEE transactions on wireless communications Ročník 11; číslo 2; s. 751 - 761
Hlavní autoři:	Tianqi Wang, Vosoughi, A., Heinzelman, W., Seyedi, A.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.02.2012 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
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Popis
Shrnutí:	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 number of collected samples during the network lifetime, subject to channel capacity, SW rate region, and residual energy constraints. We find optimal (near-optimal) closed-form solutions in the absence (presence) of an energy constraint at the joint decoder. We take into account the energy consumption of SW encoding and decoding and communication circuitry. Numerical results demonstrate the effectiveness of the proposed optimization, especially when the joint decoder is not energy constrained.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23
ISSN:	1536-1276 1558-2248
DOI:	10.1109/TWC.2011.122211.110417