摘要
在协作广播和压缩(CBC)模式的基础上,提出了传感器网络优化CBC策略概念,设计了基于剩余能量优化的CBC策略和算法,并证明其是最优的。此策略的基本思想为:根据节点的剩余能量来确定每轮数据收集中,数据发送的先后顺序、压缩方式,达到减少网络的能量消耗和平衡各个节点剩余能量的目的。分析和仿真表明,应用此策略能够延长传感器网络生命,保证长时间、高质量的数据收集。
Based on the Collaborative Broadcasting and Compression (CBC) model, the concept of optimizing CBC policy in sensor networks is proposed. The residual energy based optimizing CBC policy and arithmetic are designed, which are proven to be optimal. The fundamental idea of this policy is that the order of data transformation and the mode of data compression in each round of data collection are determined by the residual energy of each node, thus to reduce the network energy consumption and balance the residual energy on each node. Analysis and simulation results show that the proposed policy can prolong the lifetime of sensor networks, ensure long-term and high-quality data collection.
出处
《吉林大学学报(工学版)》
EI
CAS
CSCD
北大核心
2007年第6期1364-1369,共6页
Journal of Jilin University:Engineering and Technology Edition
基金
陕西省自然科学基础研究计划项目(2005F28)
西安电子科技大学研究生创新基金资助项目(创05006)
西安市科技攻关计划项目(GG06017)
国家自然科学基金资助项目(60633020)