The mechanisms to decide on caching a packet on its way of transmission to a faulty node in wireless sensor networks based on the analytical models and mathematical evaluations

M. N. Al-Ameen, R. Hasan
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引用次数: 15

Abstract

The behavior of sensor networks is highly unpredictable because of randomness in individual node state and network structure. When a node fails, the packets transmitted to this faulty node is dropped if it is not cached by an operational node. In this paper some analytical models based on fault tolerance mechanisms have been proposed to be used in different aspects of caching a packet regarding this situation. The ratio of the time to be allocated to cache the packet by an operational node and the expected repair time of the faulty node represents a threshold that decides whether this operational node should cache the packet or it will pass the packet to a selected neighbor node. Analytical models developed in this paper have made detail and clear inspections in these respects. Distributed caching mechanism has been described in this paper, which makes a way to use the energy of the nodes in a distributed fashion to cache a packet. The models and mechanisms, described in this paper are distributed and highly scalable, which ensure energy efficient caching of a packet and thus highly applicable to the sensor networks.
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基于分析模型和数学评估,研究了无线传感器网络中数据包传输到故障节点的缓存机制
由于单个节点状态和网络结构的随机性,传感器网络的行为具有高度的不可预测性。当某个节点发生故障时,如果该节点没有被正常运行的节点缓存,则发送到该节点的数据包将被丢弃。针对这种情况,本文提出了一些基于容错机制的分析模型,用于数据包缓存的不同方面。一个操作节点分配给缓存数据包的时间与故障节点的预期修复时间之比代表了一个阈值,该阈值决定了该操作节点是应该缓存数据包还是将数据包传递给选定的邻居节点。本文所建立的分析模型在这些方面做了详细而明确的考察。本文描述了分布式缓存机制,它提供了一种以分布式方式利用节点能量来缓存数据包的方法。本文所描述的模型和机制具有分布式和高度可扩展性,确保了数据包的高能效缓存,因此高度适用于传感器网络。
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