Efficiency of Silver Nanoparticles in third Generation Solar Cells

Immense energy is required for the production of first generation solar cells and they also tend to be rigid. There are lower efficiencies of the second generation solar cells than the first generation solar cells. On the other hand, the durability and efficiency of the third generation solar cells is more than the first generation solart cells. Moreover, the third generation solar cells are not available commercially and this area of solar cells requires more research and development. The current research works makes use of silver nanoparticles to enhance the efficiency of third generation solar cells. Silver nanoparticles were first made and then the solar cells were fabricated. Titanium and platinum electrodes were used. The titanium electrode was immersed in the silver nanocluster solution for 12 hours after which the electrodes were then clipped together. Solar simulator was used in the research work for testing the efficiency of the solar cells. The efficiency was calculated to be 3.46%. The results of the research work suggest that silver nanoparticles can essentially enhance the efficiency of third generation solar cells

Minimizing information asymmetry interference using optimal channel assignment strategy in wireless mesh networks

Multi-radio multi-channel wireless mesh networks (MRMC-WMNs) in recent years are considered as the prioritized choice for users due to its low cost and reliability. MRMCWMNs is recently been deployed widely across the world but still these kinds of networks face interference problems among WMN links. One of the well-known interference issue is information asymmetry (IA). In case of information asymmetry interference the source mesh nodes of different mesh links cannot sense each other before transmitting data on the same frequency channel. This non-coordination leads to data collision and packet loss of data flow and hence degrades the network capacity. To maximize the MRMC-WMN capacity and minimize IA interference, various schemes for optimal channel assignment have been proposed already. In this research a novel and near-optimal channel assignment model called Information Asymmetry Minimization (IAM) model is proposed based on integer linear programming. The proposed IAM model optimally assigns orthogonal or non-overlapping channels from IEEE 802.11b technology to various MRMC-WMN links. Through extensive simulations we show that our proposed model gives 28.31% network aggregate network capacity improvement over the existing channel assignment model