Swetha Goudar - Academia.edu (original) (raw)

Swetha Goudar

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Papers by Swetha Goudar

Ultra Dense Network (UDN) is the extreme densification of heterogeneous Radio Access Technology (... more Ultra Dense Network (UDN) is the extreme densification of heterogeneous Radio Access Technology (RAT) that is deployed closely in coordinated or uncoordinated manner. The densification of RAT forms an overlapping zone of signal coverage leading to the frequent service handovers among the RAT, thus degrading overall system performance. The current RAT selection approach is biased towards network-centric criteria pertaining to signal strength. However, the paradigm shift from network-centric to user-centric approach necessitates a multi-criteria selection process, with methodology relating to both network and user preferences in the context of future generation networks. Hence, an effective selection approach is required to avoid unnecessary handovers in RAT. The main aim of this study is to propose the Context-aware Multiattribute decision making for RAT (CMRAT) selection for investigating the need to choose a new RAT and further determine the best amongst the available methods. The CMRAT consists of two mechanisms, namely the Context-aware Analytical Hierarchy Process (CAHP) and Context-aware Technique for Order Preference by Similarity to an Ideal Solution (CTOPSIS). The CAHP mechanism measures the need to switch from the current RAT, while CTOPSIS aids in decision making to choose the best target RAT. A series of experimental studies were conducted to validate the effectiveness of CMRAT for achieving improved system performance. The investigation utilises shopping mall and urban dense network scenarios to evaluate the performance of RAT selection through simulation. The findings demonstrated that the CMRAT approach reduces delay and the number of handovers leading to an improvement of throughput and packet delivery ratio when compared to that of the commonly used A2A4-RSRQ approach. The CMRAT approach is effective in the RAT selection within UDN environment, thus supporting heterogeneous RAT deployment in future 5G networks. With context-aware selection, the user-centric feature is also emphasized.

Journal of Telecommunication, Electronic and Computer Engineering, 2017

The Internet that can easily connect global landscape is a fundamental component for business and... more The Internet that can easily connect global landscape is a fundamental component for business and communication. In the next decade, wireless network 5G will provide native support for a new kind of network infrastructure deployments, including the ultra-dense networks, multiple Radio Access Technology co-existence, direct Device to Device communication and many others. This article explores the new trends and challenges in the new digital wave. Further, it highlights the research areas in each feature and discusses the new approaches to handle huge populated devices demand.

Computer Science, Communication and Instrumentation Devices, 2014

Self-driving is the budding technology gaining momentum in enhancing safety, accessibility, and c... more Self-driving is the budding technology gaining momentum in enhancing safety, accessibility, and comfort in the automated transport facility. With safety and comfort, the prime issues are resource utilization and power consumption of the components in the integrated system. This paper proposes a mechanism for obstacle detection in self-driving Intelligent Transport Systems and database information. The history-based obstacle detection reduces the power consumption while utilizing the resources to the maximum.The proposed mechanism of obstacle detection is evaluated in comparison with the existing and driver-based mechanisms.