Limited spectrum resources and dramatic growth of high data rate applications have motivated opportunistic spectrum access utilizing the promising concept of cognitive networks. Although this concept has emerged primarily to enhance... more
Limited spectrum resources and dramatic growth of high data rate applications have motivated opportunistic spectrum access utilizing the promising concept of cognitive networks. Although this concept has emerged primarily to enhance spectrum utilization and to allow the coexistence of heterogeneous network technologies, the importance of energy consumption imposes additional challenges, because energy consumption and communication performance can be at odds. In this paper, the approaches for energy efficient spectrum sensing and spectrum handoff, fundamental building blocks of cognitive networks is investigated. The tradeoff between energy consumption and throughput, under local as well as under cooperative sensing are characterized, and what further aspects need to be investigated to achieve energy efficient cognitive operation under various application requirements are discussed.
There has been an astronomical increase in data traffic demand as people want to get connected whilst they are on the move and as new devices like smart phones and tablets become affordable gadgets. Mobile network providers have responded... more
There has been an astronomical increase in data traffic demand as people want to get connected whilst they are on the move and as new devices like smart phones and tablets become affordable gadgets. Mobile network providers have responded to this growth by expanding their networks and naturally this has seen a rapid increase in Base Stations (BSs) all over the world. This trend has led to the telecommunications sector contributing a sizable percentage of carbon dioxide emissions to the atmosphere. Designing Base stations that consume energy corresponding to network traffic will go a long way in reducing carbon dioxide emissions .In this paper, an algorithm that can be used to switch ON/OFF BSs with the traffic variation is designed and analysed
In the quest of fostering green consumer behavior, companies are developing green marketing communications. However, do green consumer behaviors gets influenced by such marketing practices or it is result of green consumption values? The... more
In the quest of fostering green consumer behavior, companies are developing green marketing communications. However, do green consumer behaviors gets influenced by such marketing practices or it is result of green consumption values? The research-based chapter answers this question by developing a conceptual model against the background of green consumer behavior theories. The explanatory research design with quantitative research method was employed. Empirical data was collected using self-administered online questionnaire from 234 Singaporean consumers of green products. Collected data was then subjected to a range of analysis techniques using IBM SPSS AMOS 24. The findings suggest that green consumption values have stronger impact on consumer behavior as compared to that of marketing communication. However, impact of both independent variables was found to be positive and significant. In addition, it was identified that no mediating effect of marketing communication exists in relationship between green consumption values and consumer behavior.
There has been an astronomical increase in data traffic demand as people want to get connected whilst they are on the move and as new devices like smart phones and tablets become affordable gadgets. Mobile network providers have responded... more
There has been an astronomical increase in data traffic demand as people want to get connected whilst they are on the move and as new devices like smart phones and tablets become affordable gadgets. Mobile network providers have responded to this growth by expanding their networks and naturally this has seen a rapid increase in Base Stations (BSs) all over the world. This trend has led to the telecommunications sector contributing a sizable percentage of carbon dioxide emissions to the atmosphere. Designing Base stations that consume energy corresponding to network traffic will go a long way in reducing carbon dioxide emissions .In this paper, an algorithm that can be used to switch ON/OFF BSs with the traffic variation is designed and analysed
