xCalamities such as earthquakes and tsunami affect communication services by devastating the communication network and electrical infrastructure. Multihop relay networks can be deployed to restore the communication environment quickly in catastrophe-stricken areas. However, performance in terms of throughput is affected by deploying the relay networks. In wireless local area networks (WLANs), the primary purpose of multiband transmission employing multihop relay networks is to increase the throughput and reduce the latency. In the future, wireless networks are believed to carry high throughput, more data rates, and less latency by expanding bandwidth-demanding applications. Simultaneous multiband transmission in WLAN systems is considered to increase the coverage area without power escalation. Due to the inherent characteristics of different bands and channel conditions, transmission rates tend to be different. The impact of such conditions may cater to the disproportional distribution of data among bands, causing some of the bands to be overwhelmed, which incurs buffer overflow and packet loss. In contrast, the channel capacity of some of the bands remains underutilized. In this paper, we consider the channel conditions and transmission rates of each band on either side of the relay to address the problems mentioned above. Furthermore, this paper proposes a load distribution-based end-to-end traffic scheduling technique to improve system performance. The simulation results demonstrate the effectiveness of our proposed method with maximizing throughput and minimizing end-to-end delay.
Context-aware applications are emerging applications in the modern era of computing. These applications can determine and adapt to situational context to provide better user experience. Testing these applications is not straightforward. Constantly changing nature of context makes testing context-aware application is a challenging task. To uncover a defect in context-aware application, a test engineer needs activity (sequence of actions) and context information (context data); this makes test case development a difficult task. Conventional test case development methodologies do not cater for context information. Besides, conventional applications have only one input source, but context-aware application must obtain data from many sources to infer the context. Yet another issue that these applications often face is the noisy data problem as input data collected from physical sensors could be noisy. Test adequacy criteria are used as test stoppage rule and define the quality of testing as well as for generating test suites. Test adequacy criteria is helpful to control the cost of testing as well as determining/establishing confidence in the software product quality. A number of test adequacy criteria exist for testing conventional applications, but the same is not true for context-aware applications. Defining test adequacy criteria and test coverage measures for context-aware applications warrants further research. Several techniques have been developed by researchers to generate and execute test cases for context-aware applications; however, end-to-end testing and result analysis of executed test cases still remains a grueling task for the test engineers. The aim of this study is to automate end-to-end functional testing, analysis of the generated test results as well as functional/requirement coverage assessment. Moreover, we also present a confidence assessment template for result analysis. Test engineers can use our proposed framework to assess the requirement coverage. Our proposed framework will reduce testing time, efforts and cost thus enabling test engineers to execute more testing cycles to attain higher degree of test coverage. INDEX TERMSAutomatic testing, Context awareness, End-to-end testing, Model based testing, Scenariobased testing, Software quality , Software testing.
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