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Reliability analysis of body sensor networks subject to random isolation time

机译：受随机隔离时间的身体传感器网络的可靠性分析

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摘要

Relayed communications are typically used in body sensor networks (BSNs) to improve reliability and energy efficiency. Particularly, a biosensor communicates with the sink device through relay(s) to conserve its limited battery power. When the relay malfunctions, the biosensor may increase its transmission power to enable a direct communication with the sink. However, such a direct communication may last only a limited, uncertain time; the biosensor becomes isolated to the rest of the BSN when the sensor's remaining power depletes to the level insufficient to support the direct communication. This paper makes contributions by addressing realistic random isolation time (RIT) in reliability analysis of BSN systems. Moreover, competitions between the isolation and propagated failures originating from the biosensor are considered. Based on the total probability theorem, a combinatorial methodology is suggested for reliability analysis of BSNs subject to the competitions and RIT. The method is applicable to any types of time-to-failure and time-to-isolation distributions of biosensors. As demonstrated through a detailed case study with numerical results, RIT can significantly influence the BSN reliability and thus it is pivotal to consider this factor for accurate system reliability assessment. Correctness of the proposed method is verified using a continuous-time Markov chain-based method.
机译：继电器通信通常用于身体传感器网络（BSN），以提高可靠性和能效。特别地，生物传感器通过继电器与宿设备连通，以节省其有限的电池功率。当继电器发生故障时，生物传感器可以增加其传输功率以实现与水槽的直接通信。然而，这种直接沟通可能持续有限，不确定的时间;当传感器的剩余功率耗尽到不足以支持直接通信的水平时，生物传感器被隔离到BSN的其余部分。本文通过解决BSN系统的可靠性分析中的现实随机隔离时间（RIT）来提供贡献。此外，考虑了源自生物传感器的隔离和传播失败之间的竞争。基于总概率定理，建议对竞争和rit受到BSN的可靠性分析的组合方法。该方法适用于生物传感器的任何类型的失败时间和隔离时间分布。如通过详细的案例研究所证明的具有数值结果，RIT可以显着影响BSN可靠性，因此考虑该因素是准确的系统可靠性评估。使用基于连续的Markov链的方法验证所提出的方法的正确性。

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