Research Article
Research on Data Storage Scheme Under Sink Failures in Wireless Sensor Networks
@INPROCEEDINGS{10.1007/978-3-319-72998-5_4, author={Yue Wang and Jun Wang}, title={Research on Data Storage Scheme Under Sink Failures in Wireless Sensor Networks}, proceedings={Wireless Internet. 9th International Conference, WICON 2016, Haikou, China, December 19-20, 2016, Proceedings}, proceedings_a={WICON}, year={2018}, month={1}, keywords={Wireless sensor networks Network Coding Storage Priority mechanism Fountain code LT code iLT code}, doi={10.1007/978-3-319-72998-5_4} }- Yue Wang
Jun Wang
Year: 2018
Research on Data Storage Scheme Under Sink Failures in Wireless Sensor Networks
WICON
Springer
DOI: 10.1007/978-3-319-72998-5_4
Abstract
In remote and inaccessible environment, sensory data must be stored inside the network in case of sink failures. Since all sensor nodes have limited storage capacity and energy, so we need to ensure that the most important and urgent data can be stored and decoded first. In this paper, we studied the data storage problem in sink-failures sensor networks. Considering that most existing algorithms mainly focus on how to maximized number of stored data, which makes the loss of the most critical data, so we design a novel network coding data storage scheme based on priority named NCSP (Network Coding Storage with Priority). In this scheme, in order to prevent the loss of the most critical information, data in the networks are divided into independent priority groups. Different network coding schemes are used in different groups. Aggressiveness mechanism is also considered in this paper. Finally, MATLAB simulations results demonstrate that NCSP outperforms than other algorithms in terms of decoding priority.