无线传感网最大剩余能量索引数据分发算法  

Maximum Residual Energy Index Based Data Dissemination Algorithm for Wireless Sensor Networks

作　　者：陶孜谨[1] 龚正虎[1] 欧阳一星[1] 徐金义[1] 

机构地区：[1]国防科学技术大学计算机学院,湖南长沙410073

出　　处：《计算机技术与发展》2008年第1期17-21,共5页Computer Technology and Development

基　　金：国家973重点基础研究发展规划项目(2003CB314802)

摘　　要：提出一种基于索引和局部存储的(Index and Local Storage-based,ILS)数据分发算法MREIB-DD。对于ILS类型的数据分发算法,一个事件的监测数据被存储在该数据的监测节点或监测节点的邻居节点。一个存储节点仅当接收到一个来自Sink的查询,才把监测数据发送至Sink。MREIB-DD算法选择网络中有最大剩余能量的节点存储索引信息,传感器节点监测到数据时向索引节点发送该数据的有关索引信息。用户的查询信息先到达索引节点,索引节点把查询转发到数据存储点,存储点对查询进行响应。此算法避免了感知数据的网内传输和查询泛洪带来的开销,分析表明该算法性能优于GHT-DCS算法而复杂度增加较少,是能量高效的数据分发算法。A data dissemination algorithm （MREIB- DD） which is based on index and local storage（ILS） is proposed. For ILS, the sensed data are stored in the node which has sensed the data or the neighboring node. The storage node scrods the data to the sink only when it has received a query. MREIB-DD selects the node which has the largest residual energy as the index storage node. When a data is sensed , the index of the data is sent to the index node. The user query sent from the sink is sent to the index node and directed to the node which stores the data. The data storage node responds the query with the data. The algorithm avoids the in- network data transferring and the query flooding. The performance analysis of the algorithm is given and compared to the GHT algorithm. The new algorithm can improve the energy- efficiency and the complexity of the algorithm has not been increased much, so the new algorithm is an energy - efficient data dissemination algorithm for the WSNs.

关 键 词：无线传感器网络 索引存储 数据分发 剩余能量 MREIB 能量高效 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]