计算机技术与发展
計算機技術與髮展
계산궤기술여발전
Computer Technology and Development
2015年
10期
123-126
,共4页
无线传感器网络%数据聚集%网络编码%自适应
無線傳感器網絡%數據聚集%網絡編碼%自適應
무선전감기망락%수거취집%망락편마%자괄응
wireless sensor networks%data aggregation%network coding%adaptive
在无线传感器网络( Wireless Sensor Network,WSN)中,传感器节点的能源有限且不能充电,因此能源效率一直是当前研究的热点和难点。数据聚集能够消除冗余数据,提高能源效率。由于自适应数据聚集算法( Adaptive Data Aggrega-tion,ADA)只适合于单跳网络,在此基础上提出通过网络编码将其应用在多跳网络中。进行网络编码的节点,距离簇头节点只有一跳的距离,这些节点根据数据相关性选择网络编码或传统的聚集算法,并且能够在未知的网络分布下,自适应调节相关性阈值。实验结果表明,该方法能够在任何初始状态下收敛到期望的可靠状态。
在無線傳感器網絡( Wireless Sensor Network,WSN)中,傳感器節點的能源有限且不能充電,因此能源效率一直是噹前研究的熱點和難點。數據聚集能夠消除冗餘數據,提高能源效率。由于自適應數據聚集算法( Adaptive Data Aggrega-tion,ADA)隻適閤于單跳網絡,在此基礎上提齣通過網絡編碼將其應用在多跳網絡中。進行網絡編碼的節點,距離簇頭節點隻有一跳的距離,這些節點根據數據相關性選擇網絡編碼或傳統的聚集算法,併且能夠在未知的網絡分佈下,自適應調節相關性閾值。實驗結果錶明,該方法能夠在任何初始狀態下收斂到期望的可靠狀態。
재무선전감기망락( Wireless Sensor Network,WSN)중,전감기절점적능원유한차불능충전,인차능원효솔일직시당전연구적열점화난점。수거취집능구소제용여수거,제고능원효솔。유우자괄응수거취집산법( Adaptive Data Aggrega-tion,ADA)지괄합우단도망락,재차기출상제출통과망락편마장기응용재다도망락중。진행망락편마적절점,거리족두절점지유일도적거리,저사절점근거수거상관성선택망락편마혹전통적취집산법,병차능구재미지적망락분포하,자괄응조절상관성역치。실험결과표명,해방법능구재임하초시상태하수렴도기망적가고상태。
Energy efficiency has long been a research hotspot and difficulty in WSN ( Wireless Sensor Networks) because of the limited and unrechargeable energy provision of sensor nodes. Data aggregation can eliminate data redundancy to improve energy efficiency. Since ADA ( Adaptive Data Aggregation) algorithm works only on single-hop networks,a novel algorithm is proposed by means of network coding will adapt ADA for multi-hop networks. The network coding nodes are one-hop away from the cluster head,and they take aggre-gation strategy according to data correlation,and the aggregation threshold can be adaptively adjusted in unknown networks. Experimental results show that the proposed algorithm can make the data converge to desired reliability from any initial state.
