NDLI: SYNAPSE: A Network Reprogramming Protocol for Wireless Sensor Networks Using Fountain Codes

Content Provider	IEEE Xplore Digital Library
Author	Rossi, M. Zanca, G. Stabellini, L. Crepaldi, R. Harris, A.F. Zorzi, M.
Copyright Year	2008
Description	Author affiliation: Dept. of Inf. Eng., Padova Univ., Padova (Rossi, M.; Zanca, G.; Stabellini, L.)
Abstract	Wireless reprogramming is a key functionality in wireless sensor networks (WSNs). In fact, the requirements for the network may change in time, or new parameters might have to be loaded to change the behavior of a given protocol. In large scale WSNs it makes economical as well as practical sense to upload the code with the needed functionalities without human intervention, i.e., by means of efficient over the air reprogramming. This poses several challenges as wireless links are affected by errors, data dissemination has to be 100% reliable, and data transmission and recovery schemes are often called to work with a large number of receivers. State-of-the-art protocols, such as Deluge, implement error recovery through the adaptation of standard automatic repeat request (ARQ) techniques. These, however, do not scale well in the presence of channel errors and multiple receivers. In this paper, we present an original reprogramming system for WSNs called SYNAPSE, which we designed to improve the efficiency of the error recovery phase. SYNAPSE features a hybrid ARQ (HARQ) solution where data are encoded prior to transmission and incremental redundancy is used to recover from losses, thus considerably reducing the transmission overhead. For the coding, digital fountain codes were selected as they are rateless and allow for lightweight implementations. In this paper, we design special fountain codes and use them at the heart of SYNAPSE to provide high performance while meeting the requirements of WSNs. Moreover, we present our implementation of SYNAPSE for the Tmote Sky sensor platform and show experimental results, where we compare the performance of SYNAPSE with that of state of the art protocols.
Starting Page	188
Ending Page	196
File Size	254339
Page Count	9
File Format	PDF
ISBN	9781424417773
DOI	10.1109/SAHCN.2008.32
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless application protocol Wireless sensor networks Automatic repeat request Energy efficiency Topology Read-write memory Feedback Computer science Large-scale systems Environmental economics
Content Type	Text
Resource Type	Article

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