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    无线传感网中基于自适应概率广播的数据保存

    An Adaptive Probability Broadcast-Based Data Preservation in Wireless Sensor Networks

    • 摘要: 对于部署在恶劣环境中且无法放置Sink节点的无线传感器网络,节点的能量有限且易于损坏.每个节点为了避免自己死亡后数据丢失,需要将数据分发到网络中其他一部分节点上进行保存.但是,由于节点只知道自己邻居的信息,同时存储容量有限,因此如何有效地进行数据分发和存储是一个具有挑战性的问题.提出一个基于自适应概率广播的数据保存协议APBDP来解决这个问题.在APBDP中,节点通过一种自适应的概率广播机制分发数据,这种机制不仅可以使所有节点接收到数据包,而且能有效地减少数据的冗余传输以节省节点能量.此外,节点利用LT码来对数据进行编码存储,所有节点完成数据的分发和存储后,数据采集者只需要访问少量的节点就能恢复出所有的源数据.理论分析和实验表明,APBDP不仅具有较高的解码性能,而且能量有效.

       

      Abstract: In some wireless sensor networks deployed in harsh environment, it may not be feasible to deploy a sink to keep connection with it. In order to prevent data loss due to exhaustion of nodes limited energy or physical damage, each node should disseminate its data to a subset of nodes in the network for storage. However, since each node only knows its local information and just has limited storage space, the processes of data dissemination and storage are hard to be controlled. An adaptive probability broadcast-based data preservation protocol, APBDP, is proposed to solve this problem. In APBDP, each node adopts an adaptive probability broadcast mechanism to disseminate its data. The mechanism can not only make all nodes receive each data packet, but also reduce the redundancy transmission of packets. Therefore, nodes energy is conserved effectively. Moreover, each node stores the data received by LT codes. After all data are stored, a collector can recover all data as long as it visits a small subset of nodes in the network. Theoretical analysis and experiments show that APBDP can achieve higher decoding performance and energy efficiency than existing protocols.

       

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