基于分布式与联合优化的无线传感器网络数据汇聚机制
Distributed data sinking mechanism based on joint optimization in wireless sensor networks
- 通信学报 2015年36卷第7期 页码：18-30
- 作者机构：
1. 西南民族大学 计算机科学与技术学院，四川 成都 610041
2. 西南交通大学 信息科学与技术学院，四川 成都 610031
- 作者简介：
[ "刘韬（1978-），男，四川宣汉人，博士（后），西南民族大学副教授、硕士生导师，主要研究方向为无线传感器网络。" ]
[ "李天瑞（1969-），男，福建莆田人，西南交通大学教授、博士生导师，主要研究方向为智能信息处理和数据挖掘。" ]
[ "谈文蓉（1968-），女，四川广安人，西南民族大学教授、硕士生导师，主要研究方向为物联网应用、自然语言理解。" ]
[ "殷锋（1972），男，贵州榕江人，西南民族大学教授、硕士生导师，主要研究方向为分布式计算。" ]
- 基金信息：国家自然科学基金资助项目;The National Natural Science Foundation of China(61102007);中国博士后基金资助项目;China Postdoctoral Science Foundation(2013M542289);西南民族大学中央高校基本科研业务费专项基金资助项目;The Fundamental Research Funds for the Central Universities,Southwest University for Nationalities(13NZYTD02)
DOI：10.11959/j.issn.1000-436x.2015158
中图分类号： TP393-
网络首发：2015-07，
纸质出版：2015-07-25
- 稿件说明：
移动端阅览
刘韬, 李天瑞, 谈文蓉, 等. 基于分布式与联合优化的无线传感器网络数据汇聚机制[J]. 通信学报, 2015,36(7):18-30.
Tao LIU, Tian-rui LI, Wen-rong TAN, et al. Distributed data sinking mechanism based on joint optimization in wireless sensor networks[J]. Journal on Communications, 2015, 36(7): 18-30.
刘韬, 李天瑞, 谈文蓉, 等. 基于分布式与联合优化的无线传感器网络数据汇聚机制[J]. 通信学报, 2015,36(7):18-30. DOI： 10.11959/j.issn.1000-436x.2015158.
Tao LIU, Tian-rui LI, Wen-rong TAN, et al. Distributed data sinking mechanism based on joint optimization in wireless sensor networks[J]. Journal on Communications, 2015, 36(7): 18-30. DOI： 10.11959/j.issn.1000-436x.2015158.
摘要
针对大规模周期汇报型传感器网络提出了一种基于分布式与联合优化的数据汇聚机制，简称DDSM。该机制采用节点周期睡眠/工作的节能调度和分布式的工合的联合优化方法，综合优化网络层和MAC层功能。最后，通过模拟实验对所提机制作机制，并提出一种将节点的路由建立与工作时隙分配相结及其实现算法的性能进行比较和评价。实验结果表明，所提机制有效降低了节点的能耗，延长了网络的生命周期。
Abstract
A distributed data sinking mechanism based on joint optimization
abbreviated DDSM
for periodic report wireless sensor networks is proposed
which integrates MAC layer and network layer.In this mechanism
a joint optimization algorithm is provided which connects the routing with the slot allocation.DDSM constructs an appropriate transmission schedule that avoids transmission collisions and choose the optimum routing path that achieves high levels of power conservation.Finally
experiments are performed to evaluate the performance of the proposed mechanism.Simulation results show that DDSM can reduce the energy consumption of nodes and provide longer network lifetime.
关键词
Keywords
references
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