from cs.NI updates on arXiv.org http://arxiv.org/abs/1304.1705

A network coding-based scheme is proposed to improve the energy efficiency of

distributed storage systems in WSNs (wireless sensor networks), which mainly

focuses on two problems: firstly, consideration is given to effective

distributed storage technology in WSNs; secondly, we address how to repair the

data in failed storage nodes with less resource. For the first problem, we

propose a method to obtain a sparse generator matrix to construct network

codes, and this sparse generator matrix is proven to be the sparsest.

Benefiting from the sparse generator matrix, the energy consumption required to

implement distributed storage is reduced. For the second problem, we designed a

network coding-based iterative repair method, which adequately utilizes the

idea of re-encoding at intermediate nodes from network coding theory.

Benefiting from the re-encoding, the energy consumption required by data repair

is significantly reduced. Moreover, we provide an explicit lower bound of field

size required by this scheme, which implies that this scheme can work over a

very small field and the required computation overhead of coding is very low.

The simulation result verifies that by using our scheme, the total energy

consumption required to implement distributed storage system in WSNs can be

reduced on the one hand, and on the other hand, this method can also balance

energy consumption of the networks.