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Applications of ad hoc networks are increasing in recent years because of their ease of deployment. Mobile ad hoc networks multimedia applications require an efficient and effective quality of service-aware multicast routing scheme. Supporting quality of service in an ad hoc environment is a major challenge due to unpredictable and rapidly changing topology. In this article a novel cluster-based QoS aware multicast routing protocol (CQMRP) for mobile ad hoc network is presented. In this scheme the multicast routes are constructed in a distributed manner. Analysis shows that the control overhead generated by the proposed QoS aware multicast routing scheme is less than the other related schemes. The simulation result shows that the packet delivery ratio of the proposed scheme is better than HQMRP in higher mobility scenario. In addition to that it is highly adaptable to topology changes.

Workflow have been utilized to characterize a various form of applications concerning high processing and storage space demands. As a clarification to provide this stipulation, the cloud computing pattern has appeared as an on demand resources supplier. So, to make the cloud computing environment more eco-friendly, our research project was aiming in reducing E-waste accumulated by computers. As public clouds incriminate users in a per-use source, private clouds are possessed by users and can be employed with no charge. When public and private clouds are combined, we have what we term a hybrid cloud. In a hybrid cloud, the user has flexibility offered by public cloud resources that can be combined to the private resources pool as required. Our previous work described the process of combining the low range and mid range processors with the high end processor to make the IT environment without e-waste. Then we focused on the allocation of resources in an optimal manner with respect to bandwidth and processors' ability. One question featured by the users in such systems is: Which are the finest resources to demand from a public cloud supported on the present demand and on resources overheads? In this paper we deal with this problem, presenting CHPS: Compatibility of Hybrid processor scheduler in green IT cloud computing environment. CHPS decides which resources should be chartered from the public cloud and combined to the private cloud to offer adequate processing power to perform a workflow inside a specified execution time. We present widespread experimental and simulation results which illustrate that CHPS can decrease costs as attaining the recognized preferred execution time.

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In recent years, waiting time in hospitals, emergency admissions, etc., are extremely costlier. It also increases the workload of doctors and medical professionals. Managing the cost, quality of treatment and caring for seniors are important issues in healthcare. These issues have a demand for in-home patient monitoring. Here the human body parameters are fetched by different ways through biosensors, wearable medical devices, and smart textiles. Then the collected details are forwarded to the remote server through the internet. Wearability, security, accuracy, outdoor monitoring and ease of use are some of the aspects in in-home patient monitoring system. This paper reviews the current research and development on in-home patient monitoring. A variety of system implementations were compared and evaluated to identify the technical shortcomings in the present health monitoring systems. The aim of this survey is to provide the direction for future research improvements.