延迟容忍传感器网络基于相对距离的数据传输
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Supported by the National Natural Science Foundation of China under Grant Nos.60703114, 60673154, 60903158 (国家自然科学基金); the National Basic Research Program of China under Grant No.2006CB303000 (国家重点基础研究发展计划(973)); the National High-Tech Research and Development Plan of China under Grant No.2007AA01Z443 (国家高技术研究发展计划(863)); the Young Teacher Foundation of UESTC under Grant Nos.L08010601JX0746, L08010601JX0747 (电子科技大学校青年基金)


Relative Distance-Aware Data Delivery Scheme for Delay Tolerant Mobile Sensor Networks
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    摘要:

    延迟容忍移动无线传感器网络(delay tolerant mobile sensor network,简称DTMSN)用于广泛数据收集.与传统的传感器网络不同,DTMSN 具有节点移动性、间歇连通性并且能够容忍适当的延迟,因此传统传感器网络的数据收集算法不能适用.提出了一种基于相对距离感知的动态数据传输策略RDAD(relative distance-aware data delivery scheme).RDAD采用传感器节点到汇聚点(sink node)的相对距离来计算节点传输概率的大小,并以此作为消

    Abstract:

    The delay tolerant mobile sensor network (DTMSN) is a type of sensor network used for pervasive information gathering. DTMSN distinguishes itself from conventional sensor networks by several unique characteristics such as sensor mobility, loose connectivity, and delay tolerability. Therefore, traditional data gathering methods cannot be applied. In this paper, a novel data gathering method named relative distance-aware data delivery scheme (RDAD) is proposed. RDAD introduces a simple non-GPS method with small overhead to gain the relative distance from a node to sink and then to calculate the node delivery probability which gives a guidance to message transmission. RDAD also employs the message survival time and message maximal replication to decide message’s transmission and dropping for minimizing transmission overhead. Simulation results have shown that the proposed RDAD data delivery scheme does not only achieve a relatively long network lifetime but also get the higher message delivery ratio with lower transmission overhead and data delivery delay than other DTMSN data delivering approaches.

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许富龙,刘明,龚海刚,陈贵海,李建平,朱金奇.延迟容忍传感器网络基于相对距离的数据传输.软件学报,2010,21(3):490-504

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  • 收稿日期:2008-03-25
  • 最后修改日期:2008-08-11
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