IS REGULATORY EMOTION SELF-EFFICACY PLAYING A MEDIATING ROLE? IMPACT OF LIFESTYLE HABITS ON SUBJECTIVE WELL-BEING

Background and Aim: The objective of the research is to investigate the impact of lifestyle habits on subjective wellbeing in the presence of role of regulatory emotion self-efficacy as a mediator. Vital for wellbeing, longevity, productivity, relationships, and general quality of life in all areas is a healthy lifestyle. Methodology: A cross-sectional study has been conducted for 271 Students had been selected as respondents. Smart Pls has been used for calculating the reliability, validity of questionnaire and as well as hypothesis testing. Results: Food disorder, healthcare anxiety, regulatory emotional self-efficacy have direct and indirect significant impact on subjective well-being. But sleeping disorder has showed the direct and indirect insignificant impact on subjective well-being. Limitation and Future Implications: Because of time constraints, a lack of comprehension of the research, and a healthy lifestyle people are not aware of health benefits, they had less knowledge about it and were hesitant about a discussion. Originality: The role of regulatory emotion self-efficacy has not been used as a mediator during the relationship of lifestyle habits and subjective well-being. Conclusion: Subjective well-being is defined as gratification and satisfaction with one’s life. Regular physical activity is important in order to enhance the self-efficacy and emotional well-being. Good nutrients and a balanced diet provide a person with enough energy to carry out the tasks of daily life effectively.

Adaptive Power Control-Based Energy Efficient Routing Apceer in Wireless Sensor Networks

Wireless sensor networks (WSNs), comprising of large numbers of tiny sensor nodes, find their applications in all aspects of human life. Some of these applications are surveillance and monitoring system, structural health monitor- ing, forest fire monitoring, habitat monitoring, border monitoring, combat zone monitoring, crop monitoring, medical care, security system, nuclear protection and measurement systems, biological applications, health applications, chemical attack recognition and the fields where wires could not be used. Sensor nodes used in WSNs are resource-constrained in terms of their radio range and battery power. In most of the applications it is very difficult to recharge their batteries. Therefore, they need careful energy management. Such energy management is also affected by the way the data from source to sink is routed. Performance metrics of routing protocols in wireless sensor networks are also different from those used in traditional networks. In contrast to traditional networks, energy is the major point of focus in the development of routing protocol in wireless sensor network. Optimized consumption of energy is thought to ensure a long lifetime for a wireless sensor network. In this dissertation, the main focus of our work is to explore all possible energy efficient approaches for the problem of data routing through energy-constrained sensor nodes in wireless sensor networks. In the first part of the dissertation, a gradient of cost fields is exploited to explore the energy-efficient routes for the delivery of data from any source node to the sink. The proposed, GRAdient Cost Establishment (GRACE), routing strategy is based on two cost factors: energy and link quality. A routing path is selected if it contains both high-power nodes and good-quality wireless links. In other words, GRACE operates on the optimized se- lection of paths that have lowest costs in terms of energy and link quality. In this way, GRACE reduces both energy consumption and communication-bandwidth requirements and prolongs the lifetime of the wireless sensor network. Using theo- retical analyses and computer simulations, it is shown that the proposed dynamic routing, GRACE, helps achieve the desired system performance under dynamically changing network conditions. A comparison of the proposed strategy, GRACE, with one of the best existing energy efficient routing algorithms GRAB has been presented which shows a better performance of GRACE over GRAB. Moreover, it is observed that operation initialization and status updation exert significant impact on the performance of a routing algorithm in a wireless sensor network. For this purpose, various modes of operation for updating status are explored and their impact is shown on the lifetime curves of GRACE strategy. Although GRACE is an energy-aware routing protocol designed specially for re- source constrained wireless sensor nodes, however, limited battery resource at a sensor node coupled with the hostile multi-path fading propagation environment makes the task of the network to provide reliable data services with an enhanced vilifetime challenging. The focus of the second part of the dissertation is, thus, to propose an energy-aware routing protocol embedded with transmission power con- trol (TPC) mechanism. In the second part, the main operation of the proposed strategy, Adaptive Power Control-based Energy Efficient Routing (APCEER), is two fold. On one hand, it tries to establish gradient-based energy-efficient routes from source to sink and on the other hand, it forces every node on the route to exploit the minimum possible power level to transmit data to its next-hop neigh- bor, while maintaining a reliable wireless link. This two-fold operation not only saves the energy of each and every sensor node in the network but it also reduces the network-wide communication interference significantly. This energy-saving re- sults in an overall increase in network lifetime and transmission throughput of the network. Computer simulations and test bed measurements are presented that show that APCEER outperforms the existing energy-aware routing strategies, not equipped with a power control mechanism. It can thus be used in urban appli- cations of wireless sensor networks where ultra-efficient utilization of energy, by power-constrained nodes operating in severe fading conditions, is needed.