2019 - Engineering http://dr.lib.sjp.ac.lk/handle/123456789/11823 2026-01-07T06:00:48Z IoT based Intelligent Domestic Water Management System http://dr.lib.sjp.ac.lk/handle/123456789/12422 IoT based Intelligent Domestic Water Management System Herath, HMMISB; Dinalankara, DMR; Wijenayake, UK 2019-01-01T00:00:00Z Novel impairment-aware resource allocation scheme for elastic optical networks serving traffic with different service priorities http://dr.lib.sjp.ac.lk/handle/123456789/12421 Novel impairment-aware resource allocation scheme for elastic optical networks serving traffic with different service priorities Munasinghe, K.; Dharmaweera, M.N.; de Alwis, C. In this research paper, we propose a novel impairment-aware resource allocation scheme that increases spectrum efficiency of an elastic optical network (EON), while satisfying the quality of transmission (QoT) requirements of traffic connections with different service priorities (i.e., high and low priority traffic). To demonstrate the validity and superiority of our algorithm, we compared the results of our proposed resource allocation scheme against a benchmark algorithm. The results were simulated for a 6-node network and a 14-node network. Compared to the benchmark algorithm, on average, our proposed scheme increases spectrum efficiency by an additional 20 % while ensuring a minimum latency for high priority traffic, causing minimum disruptions to existing low priority traffic, and blocking less than 1 % of the total connections. 2019-01-01T00:00:00Z Efficient Medical Video Streaming by Pre Processing and Network Traffic Prioritization in Real-Time http://dr.lib.sjp.ac.lk/handle/123456789/12420 Efficient Medical Video Streaming by Pre Processing and Network Traffic Prioritization in Real-Time Balagalla, U.B.; Sivapatham, S.; Munasinghe, K.; Subasinghe, A.; de Alwis, C. Developing advanced healthcare applications to cater to the requirements of an ever-growing population has become one of the key areas of research in engineering. One major application in this area is medical video streaming, which is often used for remote monitoring of patients. Medical video streaming helps to overcome geographical barriers and offers medical services at the convenience of the patient. However, as medical videos carry critical and time-sensitive information, retaining the quality and reducing latency during transmission is paramount for accurate medical diagnosis. This paper presents the concept of effective medical video streaming, which incorporates novel methods in video pre-processing, video compression, and transmission of medical data over optical networks. 2019-01-01T00:00:00Z