Prioritized Degree Distribution in Wireless Sensor Networks with a Network Coded Data Collection Method

Sensors

Jan Wan¹  Naixue Xiong¹  Wei Zhang¹  Qinchao Zhang¹ 

[1] School of Computer Science and Technology, Hangzhou Dianzi University, 1# of NO.2 street, Xiasha Higher Education District, Hangzhou 310037, Zhejiang, China; E-Mails:

关键词: wireless sensor networks;    distributed storage;    network coding;   

DOI  :  10.3390/s121217128

来源: mdpi

【 摘 要 】

The reliability of wireless sensor networks (WSNs) can be greatly affected by failures of sensor nodes due to energy exhaustion or the influence of brutal external environment conditions. Such failures seriously affect the data persistence and collection efficiency. Strategies based on network coding technology for WSNs such as LTCDS can improve the data persistence without mass redundancy. However, due to the bad intermediate performance of LTCDS, a serious ‘cliff effect’ may appear during the decoding period, and source data are hard to recover from sink nodes before sufficient encoded packets are collected. In this paper, the influence of coding degree distribution strategy on the ‘cliff effect’ is observed and the prioritized data storage and dissemination algorithm PLTD-ALPHA is presented to achieve better data persistence and recovering performance. With PLTD-ALPHA, the data in sensor network nodes present a trend that their degree distribution increases along with the degree level predefined, and the persistent data packets can be submitted to the sink node according to its degree in order. Finally, the performance of PLTD-ALPHA is evaluated and experiment results show that PLTD-ALPHA can greatly improve the data collection performance and decoding efficiency, while data persistence is not notably affected.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland