Network Coding for Distributed Data Storage and Continuous Collection in Wireless Sensor Networks

We propose to construct network coding (known as Random Linear Coding) scheme for the distributed storage and continuous collection in wireless sensor networks (WSN). This article addresses two key challenges in wireless sensor networks: distributed data storage and continuous query. It does not focus on networking related technologies, but rather on how to organize the information generated by sensors in an energy-efficient manner. We investigate the energy performance of the system benefits from network coding, compared with that of system without network coding based only on store and forward (S-F) approach. Another key parameter- node degree (L) indicates how many sensor nodes into which the source node should fall for continuous data query at collector. 1, indicates the en/decoding complexity of the networks. Thus we present the appropriate values of L in different sensor networks.