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广西大学计算机与电子信息学院广西多媒体通信与网络技术重点实验室,广西 南宁 530004
[ "梁俊斌(1979-),男,广西南宁人,博士,广西大学教授,主要研究方向为无线传感器网络。" ]
[ "周翔(1995-),男,湖北鄂州人,广西大学硕士生,主要研究方向为无线传感器网络。" ]
[ "李陶深(1957-),男,广西邕宁人,博士,广西大学教授,主要研究方向为无线Mesh网络、分布式工程数据库、遗传优化设计、网络计算与信息安全等。" ]
网络出版日期:2018-04,
纸质出版日期:2018-04-25
移动端阅览
梁俊斌, 周翔, 李陶深. 移动低占空比无线传感网中低能耗的主动邻居发现算法[J]. 通信学报, 2018,39(4):45-55.
Junbin LIANG, Xiang ZHOU, Taoshen LI. Energy saving proactive neighbor discovery algorithm in mobile low-duty-cycle wireless sensor network[J]. Journal on communications, 2018, 39(4): 45-55.
梁俊斌, 周翔, 李陶深. 移动低占空比无线传感网中低能耗的主动邻居发现算法[J]. 通信学报, 2018,39(4):45-55. DOI: 10.11959/j.issn.1000-436x.2018054.
Junbin LIANG, Xiang ZHOU, Taoshen LI. Energy saving proactive neighbor discovery algorithm in mobile low-duty-cycle wireless sensor network[J]. Journal on communications, 2018, 39(4): 45-55. DOI: 10.11959/j.issn.1000-436x.2018054.
移动低占空比无线传感网(MLDC-WSN)是近年新兴的一种无线多跳网络,它由大量具有移动能力且会长时间进入睡眠状态的节点自组织而成,可以部署在恶劣环境中执行长期的监测任务,在国防、工业、农业等领域具有广泛的应用前景。但是,节点的移动和睡眠导致网络拓扑不断发生改变,使节点很难以较少的能耗快速发现其全部的邻居,导致节点无法获得最优的分布式决策结果,影响网络应用的效果。为了解决这个难题,提出一种新的主动式邻居发现算法。该算法使网络中的节点在苏醒时主动寻找自己的邻居,避免传统被动式邻居发现中长时间等待所产生的时延。此外,通过对邻居移动速度及距离的预测,快速确定未来下一时刻的邻居集合,在进一步减少时延的同时获得更准确的邻居发现结果。理论分析和实验结果表明,与已有算法相比,所提算法能够在MLDC-WSN中以更小的能耗、更低的时延发现全部的邻居。
Mobile low-duty-cycle wireless sensor network is a new kind of wireless multi-hop network
which is self-organized by a large number of nodes that have mobile ability and are able to get into sleep for a long time.Such networks have wide application prospects in national defense
industry
agriculture and other fields that need long term monitoring in severe environments.However
the movement and the sleeping features of nodes lead to constantly change of network topology
which makes the nodes difficult to discover their neighbors quickly.Therefore
the nodes cannot achieve optimal distribution decisions.In order to solve this problem
a new proactive neighbor discovery algorithm was proposed.This algorithm made the nodes in the network take the initiative to find their neighbors when they woke up
and avoided the delay caused by long time waiting in the traditional passive neighbor discovery.In addition
by predicting the movement speed and distance of neighbors
the neighbor set at the next moment can be quickly determined
which can further reduce the delay and obtain more accurate neighbor discovery results.Theoretical analysis and experimental results show that compared with the existing algorithms
the algorithm can find all the neighbors in MLDC-WSN with less energy consumption and lower delay.
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