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首页> 外文期刊>Reliability Engineering & System Safety >A Monte-Carlo Markov chain approach for coverage-area reliability of mobile wireless sensor networks with multistate nodes
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A Monte-Carlo Markov chain approach for coverage-area reliability of mobile wireless sensor networks with multistate nodes

机译：具有多状态节点的移动无线传感器网络覆盖区域可靠性的蒙特卡洛马尔可夫链方法

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摘要

A mobile Wireless Sensor Network (mWSN) is composed of a large number of tiny, inexpensive resource-constrained sensors scattered in the field of interest, with the sink node or the data collector moving around the field. One fundamental concern of an mWSN is to provide application-specific coverage of the area under surveillance. The reliability of an mWSN depends on sensing area coverage, network connectivity, and data handling capacity of the mWSN in the presence of multi-state sensors. To mention here, each sensor node during its life cycle may exist in ACTIVE, SLEEP, RELAY, IDLE or FAIL states due to hardware failure, random duty cycle and/or energy limitations. Under such constraints, to quantify application-specific coverage oriented reliability, a new coverage-reliability index, CORE, is introduced. CORE gives a measure of the ability of a sensor network with multi-state nodes to satisfy the application-specific coverage area requirement with reliable data delivery to the mobile sink. A Monte-Carlo Markov Chain simulation approach is proposed for evaluating CORE. The conducted computational experiments are carried on mWSNs of various sizes to demonstrate the versatility of the proposed approach.
机译：移动无线传感器网络（mWSN）由散布在目标领域中的大量纤巧，廉价的资源受限传感器组成，宿节点或数据收集器在该领域中移动。 mWSN的一个基本问题是提供受监视区域的特定于应用程序的覆盖范围。 mWSN的可靠性取决于存在多状态传感器时mWSN的传感区域覆盖范围，网络连接性和数据处理能力。这里要提到的是，由于硬件故障，随机占空比和/或能量限制，每个传感器节点在其生命周期内可能处于ACTIVE，SLEEP，RELAY，IDLE或FAIL状态。在这种约束下，为了量化面向特定应用的面向覆盖的可靠性，引入了新的覆盖可靠性指标CORE。 CORE衡量了具有多状态节点的传感器网络满足向特定应用覆盖区域的要求以及向移动宿可靠传输数据的能力。提出了蒙特卡洛马尔可夫链模拟方法来评估CORE。对各种大小的mWSN进行了计算实验，以证明所提出方法的多功能性。

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