Several Characteristics of Active/Sleep Model in Wireless Sensor Networks

W. Li
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引用次数: 16

Abstract

We investigate several characteristics of active/sleep model in wireless sensor networks (WSNs). Here, each node of the investigated WSN may be randomly and alternatively in an ACTIVE status or a SLEEP status. When a referenced sensor node is in an ACTIVE status, it may generate data packets with a given stochastic process and may transmit/receive a data packet with a random period of time. However, when the referenced sensor node is in a SLEEP status, it may only be able to stochastically generate date packets but not transmit/receive. If all possible next-hop nodes of the referenced node are in SLEEP statuses, we will say the environment of the referenced node to be in an OFF period. If there exists at least one next-hop node of the referenced node to be in ACTIVE status, we will say that its environment is in an ON period. In this shorter paper, we first derive the steady-state probability distribution of number of data packets in the referenced node and then obtain the distribution function for a node to be in an ON period and in an OFF period, respectively. The novelty of this note is in its development of a stochastic model in WSN with active/sleep feature and the explicit results obtained for above two performance characteristics. These results are expected to be useful as the fundamental results in the theoretic analysis and design of various WSNs with active and sleep status consideration.
无线传感器网络中主动/休眠模型的几个特点
研究了无线传感器网络(WSNs)中主动/休眠模型的几个特点。在这里,所研究的WSN的每个节点可能随机地处于ACTIVE状态或SLEEP状态。当被参考的传感器节点处于ACTIVE状态时,它可能以给定的随机过程生成数据包,也可能以随机的时间段发送/接收数据包。但是,当被引用的传感器节点处于SLEEP状态时,它可能只能随机生成日期数据包,而不能发送/接收。如果被引用节点的所有可能的下一跳节点都处于SLEEP状态,我们就说被引用节点的环境处于OFF周期。如果引用节点中至少有一个下一跳节点处于ACTIVE状态,我们就说它的环境处于ON周期。在这篇较短的文章中,我们首先推导了参考节点中数据包数量的稳态概率分布,然后分别得到了节点处于ON周期和处于OFF周期时的分布函数。本文的新颖之处在于提出了一种具有主动/睡眠特征的无线传感器网络随机模型,并得到了上述两种性能特征的明确结果。这些结果有望作为考虑活动状态和睡眠状态的各种无线传感器网络的理论分析和设计的基础结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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