CAJ | 학술논문

通过对当前无线传感器网络数据压缩问题的研究,提出了一种新的传感器网络感知数据处理算法——BFM.经过实验证明,这种算法不仅可以达到压缩数据的目的,而且在不存在时空相关性或相关性不稳定的条件下依然能够减少数据传输能耗、延长网络生命周期.该算法与Tiny DB模型比较之后可以看出,BFM算法取得了更小的数据传输比,达到减少网络能耗的目的.
통과대당전무선전감기망락수거압축문제적연구,제출료일충신적전감기망락감지수거처리산법——BFM.경과실험증명,저충산법불부가이체도압축수거적목적,이차재불존재시공상관성혹상관성불은정적조건하의연능구감소수거전수능모、연장망락생명주기.해산법여Tiny DB모형비교지후가이간출,BFM산법취득료경소적수거전수비,체도감소망락능모적목적.
Through the understanding of current research on sensor network data compression problem,it presents a new sensor network data processing algorithm—BFM.It proved by the experiment,this algorithm can not only achieve the purpose of compressing data,but also can reduce energy consumption,data transmission and prolong the network lifetime in no instability at temporal and spatial correlation or correlation conditions.This algorithm and the Tiny DB model of after the comparison can be seen,the BFM algorithm achieves a data transmission can be smaller than in the data compression technology,it is can be achieve to reduce the network energy consumption.