The modification of the well known GPSR routing protocol, with the concept of lifetime is proposed. The lifetime is calculated between the node and each of its neighbors. A lifetime timer is set to the lifetime value. This timer helps in determining the quality of link and duration of the neighbor's existence. During the next hop selection process, the node selects the neighbor which is closest to the destination with good link quality and non-zero lifetime timer value in contrast to GPSR. This results in appropriate selection of the next hop node in a highly mobile and noisy environment, thus reducing the packet loss. The simulation is conducted for two scenarios where the source and destination are travelling in same and opposite directions. The results showed that GPSR with Lifetime achieved 20% to 40% increase in the packet delivery rate and significant improvement in packet delivery ratio for different "HELLO" message intervals when compared to GPSR.

ABSTRACT

Malaria poses a global health problem every day, as it affects millions of lives all over the world. A traditional diagnosis requires the manual inspection of blood smears from the patient under a microscope to check for the malaria parasite. This is often time consuming and subject to error. Thus, the automated detection and classification of the malaria type and stage of progression can provide a quicker and more accurate diagnosis for patients. In this research, we used two object detection models, YOLOv5 and scaled YOLOv4, to classify the stage of progression and type of malaria parasite. We also used two different datasets for the classification of stage and parasite type while assessing the viability of the dataset for the task. The dataset used is comprised of microscopic images of red blood cells that were either parasitized or uninfected. The infected cells were classified based on two broad categories: the type of malarial parasite causing the infection and the stage of progression of the disease. The dataset was manually annotated using the LabelImg tool. The images were then augmented to enhance model training. Both models YOLOv5 and scaled YOLOv4 proved effective in classifying the type of parasite. Scaled YOLOv4 was in the lead with an accuracy of 83% followed by YOLOv5 with an accuracy of 78.5%. The proposed models may be useful for the medical professionals in the accurate diagnosis of malaria and its stage prediction.

The worldwide outbreak of COVID-19 has significantly changed the mindset of the people and over the period they started practicing healthy lifestyle to contain the spread of the virus. Despite this, increase in the number of cases and death rates across the globe are major cause of concern. In addition to maintaining the healthy lifestyle it is also essential to exploit the technological advancements in the field of Internet of Things (IoT) in designing a cost-effective wearable device which could possibly indicate the early stages of virus infection. In this work, a low cost IoT enabled wearable device is designed which generates alerts in case of any of the measured parameter goes out of the normal range besides sending notifications.

<p><span style="font-family: Times New Roman; font-size: medium;">In recent years, the proliferation of the Internet of Things (IoT) has kick started the home and office automation in a very rapid manner. The paper demonstrates a cost effective implementation of an IoT system for managing the visitors in an office environment. The automation system comprises low cost NodeMCU based Wireless Transmitter, NodeMCU based Wireless Display Unit and an android mobile phone. The mobile phone also serves as wireless Access Point to which the Wireless Transmitter and the Wireless Display Units are wirelessly connected for exchanging the messages using UDP protocol. The Wireless Transmitter and the Wireless Display Units are kept in the visitor’s waiting area. The consulting person possesses an android mobile phone in which the automation software is installed. The visitor enters a message using the Wireless Transmitter and notes down the acknowledgement token number sent by the automation software. When the consulting person checks this message, the same token number is sent to the Wireless Display Unit signaling the visitor to consult the person. </span></p>

Recent improvements in encoding techniques have led to increase in multimedia traffic over the wireless networks. However, the time varying transmission characteristics of the wireless channel leads to poor performance of multimedia traffic over wireless networks. This results to longer packet delay, jitter and lower throughput that deteriorate the video quality significantly at the receiving end, thus diminishing the user experience. In this work, we propose cross-layer frame work which varies the transcoding rate at application layer depending upon the channel condition estimated using parameters associated with the data link layer. Further, we evaluate the proposed frame work using NS-2 simulator with Evalvid frame work. Our simulation results show that proposed cross-layer frame work improves the video quality at receiver end by reducing the packet loss.I.

No abstract

Abstract. Development in video compression techniques and wireless techniques has resulted in considerable amount of video streaming applications in the wireless networks. However, the time varying transmission characteristic of the wireless channels leads to poor performance of multimedia traffic over wireless networks. This results in longer packet delay, jitter and lower throughput that deteriorate the video quality considerably at the receiving end, thus diminishing the user experience. In this work, we propose cross-layer framework which optimizes the transcoding rate at the application layer depending upon the channel condition estimated using parameters associated with the data-link layer. Further, we evaluate the proposed frame work using NS-2 simulator with EvalVid framework. We use three different motion video sequences to evaluate the proposed frame work. Our simulation result shows that the proposed cross-layer frame work improves the video quality in all the three cases at the receiving end.