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AdapCode: Adaptive Network Coding for Code Updates in Wireless Sensor Networks

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Title: AdapCode: Adaptive Network Coding for Code Updates in Wireless Sensor Networks
Author(s): Hou, I-Hong; Tsai, Yu-En; Abdelzaher, Tarek F.; Gupta, Indranil
Subject(s): wireless networks wireless sensor networks
Abstract: Code updates, such as those for debugging purposes, are frequent and expensive in the early development stages of wireless sensor network applications. We propose AdapCode, a reliable data dissemination protocol that uses adaptive network coding to reduce broadcast traffic in the process of code updates. Packets on every node are coded by linear combination and decoded by Gaussian elimination. The core idea in AdapCode is to adaptively change the coding scheme according to the link quality. Our evaluation shows that AdapCode uses up to 40\% less packets than Deluge in large networks. In addition, AdapCode performs much better in terms of load balancing, which prolongs the system lifetime, and has a slightly shorter propagation delay. Finally, we show that network coding is doable on sensor networks in that (i) it imposes only a 3 byte header overhead, (ii) it is easy to find linearly independent packets, and (3) Gaussian elimination needs only 1KB of memory.
Issue Date: 2007-07
Genre: Technical Report
Type: Text
URI: http://hdl.handle.net/2142/11367
Other Identifier(s): UIUCDCS-R-2007-2876
Rights Information: You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the University of Illinois at Urbana-Champaign Computer Science Department under terms that include this permission. All other rights are reserved by the author(s).
Date Available in IDEALS: 2009-04-22
 

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