Wireless sensor networks (WSNs) are a special type of infrastructure-less network made up large number tiny nodes with limited energy, processing, and communication capabilities. WSNs have applications in health care, home security, environment monitoring, etc., research challenges energy efficiency, lifetime, reliability. One the major lies providing application-specific coverage region interest reliable transmission gathered data to mobile sink presence multi-state nodes. To quantify such...

Wireless sensor networks (WSNs) find application in various fields like environmental monitoring, health-care, land security, and many more. To ease our day-to-day activity, WSNs have become an integral tool for complex data gathering tasks. Monitoring a phenomenon by WSN depends on the collective provided nodes. ensure reliable operation of WSNs, it is important to quantify performance such terms network reliability measures. This article studies with multistate nodes proposes approach...

There has been considerable increase in interest and efforts to develop large super systems more reliable parallel computing systems. With increasing number of nodes the supercomputer environment, multistage interconnection networks (MINs) are widely used as media due their self-routing, fault-tolerance, low cost transmission delay capabilities. MINs often switching fabrics distributed designed provide fast efficient communication between high-capacity processors. This paper makes an attempt...

Software project managers need an accurate assessment of software development efforts to achieve reliable within budget and schedule. A single layer neural network (SLP) is reported predict from quality metrics. Particle swarm optimisation for training, principal component analysis (PCA) dimension reduction input features genetic algorithm optimising artificial architecture are used. Literature datasets tested the results acceptable limits. However, SLP_NN without pre-processing with PCA...

This paper discusses a new model towards reliability and quality improvement of software systems by predicting fault-prone module before testing. Model utilizes the classification capability data mining techniques knowledge stored in metrics to classify as or not fault-prone. A decision tree is constructed using ID3 algorithm for existing project order gain information purpose making whether particular id not. The gained converted into fuzzy rules integrated with inference system predict...

Many radiation hardened by design (RHBD) latch architectures have been presented in the literature. These are designed such that these can tolerate a charged particle impact at multiple nodes of latch. differ terms approach for developing single event upset (SEU) tolerance, area and other parameters. The literature survey SEU fault simulation study reveal some critical internal node pairs while most exhibit point failure input data node. In this work, mechanisms RHBD latches analyzed new...

This paper presents a fault prediction model using reliability relevant software metrics and fuzzy inference system.For this new approach is discussed to develop profile of which are more for prediction.The proposed predicts the density at end each phase development metrics.On basis testing phase, total number faults in predicted.The seems useful both engineer as well project manager optimally allocate resources achieve reliable within time cost constraints.To validate accuracy, results...

A neural network based software reliability model to predict the cumulative number of failures on Feed Forward architecture is proposed in this paper.Depending upon available failure count data, execution time encoded using Exponential and Logarithmic function order provide value as input network.The effect encoding different parameter prediction accuracy have been studied.The terms hidden nodes has also performance approach tested eighteen data sets.Numerical results show that giving...

Capacity Related Reliability (CRR) is an important performance index for flow networks. Most of the CRR evaluation techniques proposed in literature, which deal with subset cut enumeration from minimal sets, generate a large number redundant subsets. The efforts validating these subsets as cuts and then removing makes approaches computationally inefficient. To solve this problem, paper proposes new technique using decomposition method to avoid generating higher order network, where refers...

This paper proposes an efficient approach for reliability evaluation of multiple‐sources and multiple‐destinations flow networks. The proposed evaluates multiple node pair capacity related reliability. is a three‐step approach; in the first step, it enumerates network minimal cut sets. These sets are then used to enumerate subset cuts second step. Third step involves from enumerated using multi‐variable inversion sum‐of‐disjoint set approach. can be optimal design as combines performance...

Advances in parallel and distributed computing have made interconnection networks a potential networking alternative to meet the growing demands of high-performance computing. Multiple processors need communicate with each other memory modules. Multi-stage (MINs) provide communication medium multi-processor system as they interconnect number Design MIN has ever better performance by providing more disjoint paths, low hardware cost, higher reliability, rerouting capabilities tolerating any...

Multistage interconnection networks (MINs) are widely used for reliable data communication in tightly coupled large‐scale multiprocessor systems. Reliability evaluation of is still a challenge owing to high complexity. Need reliability MINs quite evident as these measures provide user‐oriented performance. Terminal pair (TPR) the most commonly performance index MINs. This paper provides global view different and approaches measures. Based on critical literature review, shortcomings...

Software reliability is a critical concern in various industries, where failures can lead to severe consequences. Agile development, particularly under the Framework (SAFe), has gained prominence for managing large-scale projects. However, there limited focus on predicting software within an agile context. Existing models often treat each sprint independently, overlooking cumulative effects. This research introduces fault prediction model SAFe-based systems, utilising Bi-Directional Gated...