Performance evaluation of distributed mMulti media wireless sensor network

The demand for multimedia services i.e. audio, video and data with improve QoS and optimum utilization of resources in WSN’s has posed new challenges. As the intensity of traffic increases; it demands for higher bandwidth and dedicated resources to reduce packet loss and delay. There have been analytical models proposed where priorities were assigned to video and voice packets to reduce packet loss and optimize resource utilization. In this paper distributed scheme is proposed to handle video, voice and data packets by having multiple sink nodes. There are shared sink nodes where video, voice and data packets are serviced and dedicated sink nodes only for video and voice packets. The proposed scheme has shown that the packet loss for data packets is higher than voice and video packets. The simulation results show that the performance of the network is improved when priorities are assigned to video and voice packets by giving dedicated resources

WSN based sensing model for smart crowd movement with identification: a conceptual model

With the advancement of IT and increase in world population rate, Crowd Management (CM) has become a subject undergoing intense study among researchers. Technology provides fast and easily available means of transport and, up-to-date information access to the people that causes crowd at public places. This imposes a big challenge for crowd safety and security at public places such as airports, railway stations and check points. For example, the crowd of pilgrims during Hajj and Ummrah while crossing the borders of Makkah, Kingdom of Saudi Arabia. To minimize the risk of such crowd safety and security identification and verification of people is necessary which causes unwanted increment in processing time. It is observed that managing crowd during specific time period (Hajj and Ummrah) with identification and verification is a challenge. At present, many advanced technologies such as Internet of Things (IoT) are being used to solve the crowed management problem with minimal processing time. In this paper, we have presented a Wireless Sensor Network (WSN) based conceptual model for smart crowd movement with minimal processing time for people identification. This handles the crowd by forming groups and provides proactive support to handle them in organized manner. As a result, crowd can be managed to move safely from one place to another with group identification. The group identification minimizes the processing time and move the crowd in smart way

ReSA: architecture for resources sharing between clouds

Cloud computing has emerged as paradigm for hosting and delivering services over the Internet. It is evolved as a key computing platform for delivering on-demand resources that include infrastructures, software, applications, and business processes. Mostly, clouds are deployed in a way that they are often isolated from each other. These implementations cause lacking of resources collaboration between different clouds. For example, cloud consumer requests some resource and that is not available at that point in time. Client satisfaction is important for business as denying the client may be expensive in many ways. To fulfill the client request, the cloud may ask the requested resource from some other cloud. In this research paper we aim to propose a trust worthy architecture named ReSA (Resource Sharing Architecture) for sharing on-demand resources between different clouds that may be managed under same or different rules, policies and management

Implementation issues of vehicular ad hoc network applications: selected case studies in Malaysia

This paper looks into the implementation issues on Vehicular Network applications. In order to have better insights two scenarios have been chosen and simulated. A toll booth system shows the issues on a hybrid VANET application while City Taxi system provides the studies of highly mobile applications

A new graph based text segmentation using Wikipedia for automatic text summarization

Two models have been developed for simulating CO₂ emissions from wheat farms: (1) an artificial neural network (ANN) model; and (2) a multiple linear regression model (MLR). Data were collected from 40 wheat farms in the Canterbury region of New Zealand. Investigation of more than 140 various factors enabled the selection of eight factors to be employed as the independent variables for final the ANN model. The results showed the final ANN developed can forecast CO₂ emissions from wheat production areas under different conditions (proportion of wheat cultivated land on the farm, numbers of irrigation applications and numbers of cows), the condition of machinery (tractor power index (hp/ha) and age of fertilizer spreader) and N, P and insecticide inputs on the farms with an accuracy of ±11% (± 113 kg CO₂/ha). The total CO₂ emissions from farm inputs were estimated as 1032 kg CO₂/ha for wheat production. On average, fertilizer use of 52% and fuel use of around 20% have the highest CO₂ emissions for wheat cultivation. The results confirmed the ANN model forecast CO₂ emissions much better than MLR model

Streams of data flow in transmission control protocol (TCP) request-response cycle efficiency

This study examines the complexities of data transmission in Transmission Control Protocol (TCP) Request-Response cycles, with the goal of improving overall efficiency. The research aims to enhance the efficiency of these cycles by studying the dynamic characteristics of data streams. An experimental analysis was carried out utilising a thorough examination of TCP streams of HTTP request-response cycle, with a focus on the complex interaction between client requests and server responses. This study utilises BlazeMeter and JMeter to analyse the effectiveness of TCP request-response cycles, specifically examining the dynamics of data flow. Significant variances were seen in performance indicators across a range of different settings. Analysis of certain experimental request-response scenarios reveals that consistently high response times leads to a persistent server load as well as resource limitations, which negatively affect the overall user experience. In contrast, certain request-response scenarios demonstrate a greater throughput, suggesting a more efficient data transfer capacity, whilst lower throughput scenarios in the experimental conditions indicate the possible bottlenecks as well as network problems. The analysis encompasses various thread groups, providing insights into error rates, response times, and throughputs. These findings enhance the understanding of the efficiency of the TCP request-response cycle and emphasise the elements that affect the flow of data during transmission sessions. Consequently, the research concludes that the data flow within TCP request-response cycles lacks a discernible pattern that can be utilised for training purposes in the field of Artificial Intelligence

Load-balancing technique in clustered mobile Ad-hoc networks

Mobile Ad Hoc Network is a collection of mobile nodes without the assistance of any centralized structures. The network is divided into clusters, each cluster has a clusterhead, which is used to distribute service and route packets in his cluster. Due to the variance between the node's levels of activity, the network may possess either highly loaded or lightly loaded clusterheads. This may degrade the performance, because the service distribution and routing mechanism are both based on the cluster's architecture. Therefore, we propose a new technique to distribute the load between the clusterheads, which is called Clusterhead Load-Balancing Technique (CLBT). When loaded and unloaded clusterheads are present, CLBT will be invoked to initiate load-balancing between clusterheads by adapting the clusterheads' transmission range to fairly redistribute their respective nodes. Loaded clusterhead reduces its transmission range until it dismisses the active nodes from its cluster, simultaneously, unloaded clusterhead gradually raises its transmission range to include active node