: As compared to other nano polymers, dendrimers have novel three dimensional, synthetic hyperbranched, nano-polymeric structures. The characteristic of these supramolecular dendritic structures has a high degree of significant surface as well as core functionality in the transportation of drugs for targeted therapy, specifically in host-guest response, gene transfer therapy and imaging of biological systems. However, there are conflicting shreds of evidence regarding biological safety and dendrimers toxicity due to their positive charge at the surface. It includes cytotoxicity, hemolytic toxicity, haematological toxicity, immunogenicity and in vivo toxicity. Therefore to resolve these problems surface modification of the dendrimer group is one of the methods. From that point, this review involves different strategies which reduce the toxicity and improve the biocompatibility of different types of dendrimers. From that viewpoint, we broaden the structural and safe characteristics of the dendrimers in the biomedical and pharmaceutical fields.

As per the system optimization in terms of speed, area and power effectively taken all the things into consideration created Low Energy Sensor Networks using Ad-hoc On Demand Distance Vector Routing Protocol(AODV).A routing protocol specifies how routers communicate with each other, disseminating information that enables them to select routes between any two nodes on a computer network. Routing algorithms determine the specific choice of route. Each router has a priori knowledge only of networks attached to it directly. WSNs have great potential for many applications in scenarios such as military target tracking and surveillance, natural disaster relief, biomedical health monitoring and hazardous environment exploration and seismic sensing. In this synopsis, we propose an energy efficient data forwarding protocol called Ad-hoc On Demand Distance Vector Routing Protocol (AODV/AOMDV) for wireless sensor networks to extend the life time of the network. Ad hoc On-Demand Distance Vector (AODV) Routing is a routing protocol for mobile ad hoc networks (MANETs) and other wireless ad hoc networks. The AODV (Ad-Hoc On-Demand Distance Vector) routing protocol is a reactive routing protocol that uses some characteristics of proactive routing protocols. Routes are established on-demand, as they are needed. However, once established a route is maintained as long as it is needed. Reactive (or on-demand) routing protocols find a path between the source and the destination only when the path is needed (i.e., if there are data to be exchanged between the source and the destination). In AODV, both position information and energy are available at nodes used to route packets from sources to destination. The routing design of AODV is based on two parameters: location and energy levels of nodes. Each node knows the location and energy level of its neighbors. The performance measures have been analyzed with variable number of nodes. The simulations were carried out for different number of nodes.

Abstract-Cloud computing offers the customers an economical as well as convenient pay-as-you-go service model, also known as usage-based pricing. Cloud customers pay only for the actual use for computing resources, storage, and bandwidth, according to their changing needs, utilizing the cloud's scalable and elastic computational capabilities. In particular, data transfer costs (i.e., bandwidth) is also an important issue when trying to minimize costs. Consequently, cloud customers applying a judicious use of the cloud's resources. Also, are motivated to use various traffic reduction techniques, in a particular traffic redundancy elimination (TRE), and for reducing bandwidth costs. Traffic redundancy are stems from common end users activities, such as repeatedly accessing, downloading, uploading (i.e., backup), distributing, and modifying the same or similar information items (documents, data, Web, and video). TRE is used to eliminate the transmission of redundant content and therefore to significantly reduce the network cost. In most common TRE solutions, both the sender and the receiver examine and compare signatures of data chunks. They parsed according to the data content, prior to their transmission. When redundant chunks are detected the sender replaces the transmission of each redundant chunks with its strong signature.

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