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Simultaneous failures of multiple devices make the dominant contribution to the unreliability of wireless sensor networks. They can hamper communications over long periods of time and consequently disturb, or even disable, the management algorithms of the network. In this preliminary work, we consider two types of common cause failures: hardware, a...
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... evaluation measures the influence of CCF on the network reliability. The results are described in Fig. 4. Despite the events CCF 1 and CCF 2 having different configurations, when both events occur the influence on network reliability is similar. This behavior results from the difference in criticality of devices 1, 2, and 7. Note that the network reliability decreases quickly when the events CCF 1 and CC2 are designed together. This ...
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... However, aforementioned works do not consider common cause failure which may result in simultaneous failures of multiple devices. Under such failures, the consequences are likely to be disastrous particularly for critical applications [21]. Thus, it is better to detect the outcome of any possible common cause failure in the early phases of planning and designing the network. ...
... However, the model does not support generic network failure conditions. In [21], a reliability evaluation model considering common cause failures is proposed that is based on Fault Tree formalism and considers hardware and link failures. Hardware failures and isolation events are also considered in [10] that applies event calculus and employs heuristic strategies for assessing WSN reliability. ...
... In [21], the authors presented a preliminary work on reliability evaluation of WSN subject to common cause failure (due to hardware and link failures) using Fault Tree. The failure occurrences are characterized by cumulative probability distributions. ...
Wireless sensor networks can be deployed in remote areas for monitoring rainforest, bio-diversity, detecting forest fire or even surveillance. In such remote monitoring applications, sensor nodes are deployed in unattended environments that make them vulnerable to different kind of failures. Hence, it is extremely important to perform a reliability analysis as a precursor to WSN deployment. This paper investigates reliability analysis and makes two contributions. First, an algorithm based on ordered binary decision diagram is proposed. Second, an algorithm based on Monte Carlo simulation is proposed to compute the reliability considering both individual component and common cause failure. There are some earlier works that focuses on either of the failure types but not both. In this work, battery model of the nodes are taken into account to have a realistic estimate of node reliability. The proposed model can be readily extended for any outdoor deployment scenario to assess reliability before actual deployment and hence explore meaningful insight regarding network design for instance, identifying critical failure sequences. The results of both algorithms for benchmark network configurations are validated for similar setting against existing literature. The results show that with more nodes network reliability gradually reaches a steady state (250 onwards) for a stable environment (low individual component failure due to transient errors) subject to moderate common cause failure probability (30%).
Due to potential of various application in emergency and security monitoring fields, fault tolerance monitoring in wireless sensor networks (WSNs) software reliability became one of the most fundamental concern in computer field. In WSNs Previous literature had been proposed about how to improve network reliability. However the work done on establishing evaluating models of reliability for WSNs are insufficient yet. In this article, a model for wireless sensor networks (WSNs) is developed for the reliability evaluation. This network state based model can effectively do the evaluation of the probability of successful transmission of data in WSNs with the consideration of the work states of both the sensor node’s different modules. For WSNs we did the evacuation for reliability of in both tasks i.e., single, multi-task modes. At the same time, how different network topologies, affect the reliability of WSNs is also discussed respectively. To evaluate the reliability of WSNs the simulation attempts are shown in results that impacts network state on reliability and the effectiveness in different reliable mechanisms.
The Internet of Things (IoT) is a promising networking paradigm which immerses objects (cell phones, goods, watches, sensing motes, TVs, etc.) in a worldwide connection. Despite its high degree of applicability, the IoT faces some challenges. One of the most challenging problems is its dependability (reliability and availability), since a device failure might put people in danger or result in financial loss. An alternative to mitigate these consequences is the adoption of a strategy based on spare devices. If a primary device fails, the spare device could assume its functions in a safe way. Thus, this work proposes mathematical models based on Markov Chain which is able to estimate the reliability and availability of IoT applications considering redundancy aspects. The proposal can be used in order to provide valuable data at the early planning and design phases of an IoT application.
