NDLI: Compressive sensing optimization over ZigBee networks

Content Provider	IEEE Xplore Digital Library
Author	Caione, C. Brunelli, D. Benini, L.
Copyright Year	2010
Description	Author affiliation: University of Trente, Via Sommarive 14, Povo (TN), Italy (Brunelli, D.) \|\| University of Bologna, Viale Risorgimento 2, Bologna, Italy (Caione, C.; Benini, L.)
Abstract	Efficient data aggregation and compression in sensor networks is becoming fundamental with the increase of the number of nodes in the network. Although several data aggregation and compression techniques have been proposed in the literature only few of them can perform in-network compression and can extend lifetime without prior knowledge of the sensed data or without a central coordination. In this paper we consider a scenario where a wireless sensor network (WSN) exploits ZigBee protocols for smart building application. We study a classical gathering scheme and a distributed compressive sampling approach. We discuss limitations and we propose a new distributed mixed algorithm for in-network compression. With this algorithm each node takes a decision about which scheme to adopt aiming at the reducing the number of packets to transmit. We are interested in scalability of this new method and lifetime of the system with respect to the increase of network dimension. Simulations are performed using real data sets and results show that the use of this algorithm permits to obtain longer network lifetime with small computational complexity. The performances of the algorithm are also investigated when some sensor parameters are modified and sporadic readings rise in the network.
Starting Page	36
Ending Page	44
File Size	288490
Page Count	9
File Format	PDF
ISBN	9781424458394
e-ISBN	9781424458417
e-ISBN	9781424458400
DOI	10.1109/SIES.2010.5551380
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-07
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Routing Temperature sensors Temperature measurement Monitoring Zigbee Protocols
Content Type	Text
Resource Type	Article

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