Data compression of wireless sensor networks in the heritage monitor
Baojian Gao · Journal of Xidian University · 2012
The heritage monitoring data structure with features of monotony,large redundancy and high tolerance.These features make data compression of the wireless sensor network(WSN) in the existing algorithms a high computational complexity and great computational energy consumption.In this paper the improved Swing Door Trending(SDT) algorithm is applied to the compression of WSN for heritage monitoring.In the case of a large-scale heritage monitor,we analyse the relationship between data compression and network energy consumption.Experiments show that the improved SDT's calculational energy consumption is less then 73% compared with the DWC.And when the compression ratio is less than 25%,the improved compression algorithm SDT can be comparable with the DWC.Under the long-term,large-scale heritage monitor the improved SDT algorithm Data compression is more suitable for WSN.