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The purpose of this paper is to enhance the network lifetime of WSN. In wireless sensor network (WSN), the sensor nodes are widely deployed in a terrestrial environment to sense and evaluate the physical circumstances. The sensor node near to the sink will deplete more energy faster than other nodes; hence, there arises an energy hole and network partitioning problem in stationary sink-based WSN. Even though many mobile sink-based WSN is formulated to mitigate energy hole, inappropriate placement of sink leads to packet drop and affect the network lifetime of WSN. Therefore, it is necessary to have an efficient sink mobility approach to prevent an aforesaid problem.

In this paper, zone-based sink mobility (ZBSM) approach is proposed in which the zone formation along with controlled sink mobility is preferred for energy hole mitigation and optimal sink node placement. In ZBSM, the sink decides to move toward strongly loaded zone (SLZ) for avoiding network partitioning problems where the selection of SLZ can be carried out by using Fuzzy Logic.

The performance results confirm that the proposed scheme reduces energy consumption as well as enhances the network lifetime compared with an existing scheme.

A new optimal sink node placement is proposed to enhance the network lifetime and packet delivery ratio of WSN.

The study investigates the role of locus of control and motivation in predicting green buyer behaviour using social cognitive theory. The study also examines the mediating role of motivation and the moderating role of health consciousness in the relationship between motivation and green consumer behaviour.

To test the postulated relationships in the study, responses were collected from 410 customers. The study tested validity through confirmatory factor analysis and examined various hypotheses through Process Macros.

The analysis revealed that the locus of control of the buyer increases green buyer behaviour. The study established a positive relationship between internal and external locus of control and intrinsic and extrinsic motivation, impacting green buyer behaviour. The study also identified evidence supporting the mediating role of intrinsic and the extrinsic motivation and the moderating influence of health consciousness.

The study expands upon current theory by illustrating the association between intrinsic and extrinsic motivation and customers' green purchasing behaviour. It enhances existing literature by identifying health consciousness as a personal factor influencing the connection between motivation and eco-friendly purchasing, urging marketers and policymakers to promote green buying.

To the best of the authors’ knowledge, no prior studies have examined the effect of internal and external locus of control on green buyer behaviour. Through identifying the mediating mechanism and health consciousness as a personal factor, the study enhances both theoretical understanding and practical applications.

Efficient resource utilization in wireless sensor networks is an important issue. Clustering structure has an important effect on the efficient use of energy, which is one of the most critical resources. However, it is extremely vital to choose efficient and suitable cluster head (CH) elements in these structures to harness their benefits. Selecting appropriate CHs and finding optimal coefficients for each parameter of a relevant fitness function in CHs election is a non-deterministic polynomial-time (NP-hard) problem that requires additional processing. Therefore, the purpose of this paper is to propose efficient solutions to achieve the main goal by addressing the related issues.

This paper draws inspiration from three metaheuristic-based algorithms; gray wolf optimizer (GWO), incremental GWO and expanded GWO. These methods perform various complex processes very efficiently and much faster. They consist of cluster setup and data transmission phases. The first phase focuses on clusters formation and CHs election, and the second phase tries to find routes for data transmission. The CH selection is obtained using a new fitness function. This function focuses on four parameters, i.e. energy of each node, energy of its neighbors, number of neighbors and its distance from the base station.

The results obtained from the proposed methods have been compared with HEEL, EESTDC, iABC and NR-LEACH algorithms and are found to be successful using various analysis parameters. Particularly, I-HEELEx-GWO method has provided the best results.

This paper proposes three new methods to elect optimal CH that prolong the networks lifetime, save energy, improve overhead along with packet delivery ratio.

The case will help learners to analyse how effective handling of an extended marketing mix of 7Ps (product, price, place, promotion, physical evidence, participants and processes) makes a startup profitable in its initial years of inception; understand the significance of the online marketing strategies like digital marketing and social media marketing implemented by firms to attain a competitive edge amongst established local and global competitors; examine the strategic challenges faced by a business enterprise while entering an emerging market; analyse the growth strategies of a startup relative to various market constraints; and propose long-term strategies for sustainable growth for a startup operating in the wearables market.

Founded in 2016, Boat Lifestyle is a Delhi-based Indian startup in fashionable consumer electronics. In the past five years, Boat earned remarkable profits and emerged as one of the most promising startups through its innovative products offerings and promotion. Aiming at its target customer segment, the millennials, it promoted its products through social media marketing such as influencer marketing and brand tie-ins with sports teams and music events. The case focuses on the dynamics of the Indian wearables market that is facing tough competition from global and local players. To ensure continued growth prospects, while maintaining a tight focus on product differentiation, quality, and customer satisfaction, there is a greater need for Boat to rethink its market development and growth strategies regarding new innovations and adopting long-term orientation like diversification and global expansion.

The case aims for teaching business management students at the Undergraduate, Postgraduate, and Executive education level. In addition, the case can be related to the Strategic Management course curriculum and Marketing course curriculum.

Teaching notes are available for educators only.

CSS 11: Strategy

The main purpose of the paper is timing analysis of mixed critical applications on the multicore system to identify an efficient task scheduling mechanism to achieve three main objectives improving schedulability, achieving reliability and minimizing the number of cores used. The rise in transient faults in embedded systems due to the use of low-cost processors has led to the use of fault-tolerant scheduling and mapping techniques.

The paper opted for a simulation-based study. The simulation of mixed critical applications, like air traffic control systems and synthetic workloads, is carried out using a litmus-real time testbed on an Ubuntu machine. The heuristic algorithms for task allocation based on utilization factors and task criticalities are proposed for partitioned approaches with multiple objectives.

Both partitioned earliest deadline first (EDF) with the utilization-based heuristic and EDF-virtual deadline (VD) with a criticality-based heuristic for allocation works well, as it schedules the air traffic system with a 98% success ratio (SR) using only three processor cores with transient faults being handled by the active backup of the tasks. With synthetic task loads, the proposed criticality-based heuristic works well with EDF-VD, as the SR is 94%. The validation of the proposed heuristic is done with a global and partitioned approach of scheduling, considering active backups to make the system reliable. There is an improvement in SR by 11% as compared to the global approach and a 17% improvement in comparison with the partitioned fixed-priority approach with only three processor cores being used.

The simulations of mixed critical tasks are carried out on a real-time kernel based on Linux and are generalizable in Linux-based environments.

The rise in transient faults in embedded systems due to the use of low-cost processors has led to the use of fault-tolerant scheduling and mapping techniques.

This paper fulfills an identified need to have multi-objective task scheduling in a mixed critical system. The timing analysis helps to identify performance risks and assess alternative architectures used to achieve reliability in terms of transient faults.

The paper aims to study the influence of rounded corners on the flow-induced oscillation of a square cylinder that is free to oscillate in two degrees of freedom.

The finite volume code in conjunction with the moving mesh scheme was implemented via a user-defined function to carry out the computations in two dimensions. The Reynolds number (Re) chosen for the present study is fixed at 100, and the frequency ratio, F_r = f_s/f_n (where f_s is the vortex shedding frequency and f_n is the natural frequency of cylinder) is used as a varying parameter. The computational model was validated for flow past a stationary cylinder with R/D = 0 and 0.5, and the results showed good agreement with the literature.

The aerodynamic characteristics, amplitude response, trajectories of cylinder motion and vortex shedding modes are obtained by conducting a series of simulations under different frequency ratios of the cylinder. It was found that the minimum transverse amplitude, drag force and lift force obtained for a naturally oscillating square cylinder are quite different when compared with a stationary and forced oscillating cylinder, where the maximum drag and lift forces were observed for a square cylinder and a minimum around R/D = 0.2 was observed.

The present work identified the significant effect of the varying frequency ratio and R/D on the VIV modes of the cylinder. It was observed that the cylinder wake exhibits the (2S) vortex shedding mode for R/D = 0 to 0.2 at all F_r, whereas the C (2S) mode appeared for R/D > 0.2 at F_r = 1.1.

This paper aims to provide a secure and efficient pairing protocol for two devices. Due to the large amount of data involving sensitive information transmitted in Internet of Things (IoT) devices, generating a secure shared key between smart devices for secure data sharing becomes essential. However, existing smart devices pairing schemes require longer pairing time and are difficult to resist attacks caused by context, as the secure channel is established based on restricted entropy from physical context.

This paper proposes a fuzzy smart IoT device pairing protocol via speak to microphone, FS2M. In FS2M, the device pairing is realized from the speaking audio of humans in the environment around the devices, which is easily implemented in the vast majority of Internet products. Specifically, to protect the privacy of secret keys and improve efficiency, this paper presents a single-round pairing protocol by adopting a recently published asymmetric fuzzy encapsulation mechanism (AFEM), which allows devices with similar environmental fingerprints to successfully negotiate the shared key. To instantiate AFEM, this paper presents a construction algorithm, the AFEM-ECC, based on elliptic curve cryptography.

This paper analyzes the security of the FS2M and its pairing efficiency with extensive experiments. The results show that the proposed protocol can achieve a secure device pairing between two IoT devices with high efficiency.

In FS2M, a novel cryptographic primitive (i.e., AFEM-ECC) are designed for IoT device pairing by using a new context-environment (i.e., human voice) . The experimental results show that FS2M has a good performance in both communication cost (i.e., 130 KB) and running time (i.e., 10 S).

The purpose of this study was to explore the relationship between smartphone addiction, mental health and sleep quality among undergraduate pharmacy students in a Nigerian public university.

A cross-sectional study was conducted among undergraduate pharmacy students in a Nigerian university. Data was collected using self-administered questionnaires, including Smartphone Addiction Scale-Short version, Patient Health Questionnaire, Generalized Anxiety Disorder Scale and Pittsburgh Sleep Quality Index. The data obtained were analyzed using descriptive statistics, the chi-square test and the Pearson correlation. Probability values less than 0.05 were considered statistically significant.

A total of 410 undergraduate pharmacy students participated in the study, giving a response rate of 95.57%. The prevalence of smartphone addiction, depression and anxiety symptoms were 40.24%, 28.30% and 23.66%, respectively. Most students had poor sleep quality (96.10%). The prevalence of smartphone addiction had a moderate positive correlation with the severity of depression (r = 0.363, p < 0.01) and anxiety (r = 0.261, p < 0.01) symptoms. Nevertheless, smartphone addiction showed no connection with sleep quality (r = 0.022, p = 0.663).

The study was conducted in a single public university in Nigeria, hence this might limit its generalizability. The provision of mental health support within universities could help address the high prevalence of smartphone addiction, mental health issues and poor sleep quality.

To the best of the authors’ knowledge, this was the first study to examine smartphone addiction among pharmacy students in a resource-limited setting with multicultural and multiethnic groups.

This study aims to generate different three-dimensional (3D) foam models using computer tomography (CT) scan and solid continuum techniques. The generated foam models were used to study deformation mechanism and the elastic-plastic behaviour with the existing experimental foam behaviour.

CT scan model was generated by combing 2D images of foam in MIMICS software. Afterwards, it was imported in ABAQUS/CAE software. However, solid continuum model was generated in ABAQUS/CAE software by using crushable foam properties. Then, the generated foam models were sets boundary conditions for a compression test.

CT scans capture the actual morphology of foam sample which may directly an image based finite element foam model. The sectional views of both the models were used to observe deformation mechanism on compression. The real compressive behaviour of foam was visualised in CT-Scan foam model. It was observed that CT-scan model was the more accurate modelling method than crushable foam model.

The internal structure of foam is very complex and difficult to analyse. Therefore, CT-scanning may be the accurate method for capturing the macro-level detailing of foam structure. A CT-scan foam model can be used for multiple times for mechanical analysis using a simulation software, which may reduce the manufacturing and the experimental cost and time.

This study aims to outline the research field of initial public offerings (IPOs) pricing and performance by combining bibliometric analysis with a systematic literature review process.

The study uses over three decades of IPO publication records (1989–2020) from Scopus and Web of Science databases. An analysis of keyword co-occurrence and bibliometric coupling was used to gain insights into the evolution of IPO literature.

The study categorized the IPO research field into four primary clusters: IPO pricing and short-run behaviour, IPO performance and influence of intermediaries, venture capital financing and top management and political affiliations and litigation risks. The results offer a framework for delineating research advancements at different stages of IPOs and illustrate the growing interest of researchers in IPOs in recent years. The study identified future research potential in the areas of corporate governance, earning management and investor sentiments related to IPO performance. Similarly, the study highlighted the opportunity to test multiple theoretical frameworks on alternative investment platforms (SME IPO platforms) operating under distinct regulatory environments.

To the best of the authors’ knowledge, this paper represents the first instance of using both bibliometric and systematic review to quantitatively and qualitatively review the articles published in the area of IPO pricing and performance from 1989 to 2020.