第18卷第1期
2010年1月文章编号
1004-924X(2010)01-024008
光学精密工程
Optics and Precision Engineering
Vol.18No.1
Jan,2010
无线传感网基于邻居簇的JPEG2000多节点协同实现
鲁琴，罗武胜，胡
冰
（国防科技大学机电工程与自动化学院，湖南长沙410073)
摘要：针对无线传感器网络能量、存储、处理能力严重受限的特点，基于“在网计算”的思想，结合JPEG2000算法流程以及无线传感器网络的网络拓扑结构特点，提出一种基于邻居姨的JPEG2000多节点协同图像压缩方法。首先，将相机节点采集的图像分片，并根据图像的梯度幅度值进行压缩比特率的自适应优化分配。然后，将压缩任务转移到多个邻居簇内，以最小化网络总能耗为目标，由多节点协作共同完成图像压缩和传输。仿真结果表明，该方法不仅使无线传感器网络中实现大尺寸图像的JPEG2000编码成为可能，且相机节点能耗仅为压缩图像后传输至基站方案的3.4%，极大地平衡了网络节点能耗，使网络生命周期提高了7倍以上，
关键调：无线传感器网络；图像压缩；JPEG2000；多节点协同
中图分类号：TN919.8
文献标识码：A
Multi-nodecooperativeJPEG2oooimplementationbasedon
neighborclustersinwirelesssensornetworks
LU Qin, LUO Wu-sheng, HU Bing
(CollegeofMechatronicsEngineeringandAutomation，
NationalUniversityof DefenseTechnology,Changsha 410073,China)
Abstract: In combination of the characteristic of JPEG2oo0 and the network architecture of Wireless Sensor Networks (WSNs), a multi-node cooperative JPEG2ooo image compression method based on neighbor clusters is proposed by using the concept of in network processing to improve their energy, meomory and computional power. Firstly, the images captured by the camera node are partitioned into tiles and the adaptive bit rate is allocated by a optimum method based on gradient magnitudes. Then the tiles are sent to the neighbor clusters and compressed by multiple nodes cooperatively to minimize the total energy consumption of the network. Simulation results show that the proposed image com-pression method not only realizes the JPEG2ooo compression of big size images in the WSNs, but also balances the energy load among all nodes. Compared with the compressing image before sending it to the base station, the proposed method has decreased the energy consumption of the camera node to
3. 4%. These results show that the lifetime period of the network has improved by 7 times Key words: wireless sensor network; image compression; JPEG2oo0; multi-node cooperation
收稿日期：2009-01-20；修订日期：2009-02-18.
基金项目：国家自然科学基金资助项目（No.60872151)