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| 基于分簇的传感器网络数据聚集估算机制 |
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谢磊1,2, 陈力军1,2, 陈道蓄1,2, 谢立1,2
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1.南京大学 计算机软件新技术国家重点实验室,江苏 南京 210093;2.南京大学/香港理工大学 无线与移动传感器网络联合实验室,江苏 南京 210093
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| 摘要: |
| 提出一种基于簇结构的传感器网络数据聚集估算机制CASA(clustering-based approximate scheme for data aggregation).在保证用户对数据精确度需求的前提下,CASA 通过最小化网络通信开销以及协调节点间的负载均衡,有效地提高了估算机制的节能性能.CASA 采用最优的分簇规模参数,在基于分簇的网内聚集估算架构中能够最小化网络节点的总体通信开销.此外,CASA 考虑到部署区域感知数据变化率的差异性,采用自适应的误差分配方案来进一步降低网络节点的通信开销,维护节点间的负载均衡.模拟实验结果表明,CASA 估算机制能够显著地提升传感器网络网内数据聚集机制的节能性能,同时保证聚集数据的精确程度. |
| 关键词: 传感器网络 数据聚集 估算 分簇 |
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| 基金项目:Supported by the National Natural Science Foundation of China under Grant Nos.60573132, 60873026, 60573106 (国家自然科学基金); the National High-Tech Research and Development Plan of China under Grant No.2006AA01Z199 (国家高技术研究发展计划(863)); the National Basic Research Program of China under Grant No.2006CB303000 (国家重点基础研究发展计划(973)) |
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| Clustering-Based Approximate Scheme for Data Aggregation over Sensor Networks |
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XIE Lei,CHEN Li-Jun,CHEN Dao-Xu,XIE Li
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| Abstract: |
| In this paper, a hierarchical clustering-based approximate scheme for in-network aggregation over
sensor networks called CASA (clustering-based approximate scheme for data aggregation) is proposed, CASAachieves a good performance in terms of lifetime by minimizing overall energy consumption for communicationsand balancing energy load among all nodes, while maintaining user-specified quality of data requirement. CASA adopts an optimal parameter for the cluster size, which can well handle the hierarchical approximate work for in-network aggregation with the minimized communication cost. Furthermore, an adaptive tolerance-reallocating scheme is leveraged to further reduce the overall communication cost and maintain a load balance according to various data change rates over deployment regions. Experimental results indicate that significant benefits can be achieved through this CASA approximate scheme. |
| Key words: sensor network data aggregation approximation cluster |
