The World Wide Web is a huge source of hyperlinked information contained in hypertext documents. Search engines use web crawlers to collect these documents from web for the purpose of storage and indexing. However, many of these documents contain dynamic information which gets changed on daily, weekly, monthly or yearly basis and hence we need to refresh the search engine side storage so that latest information is made available to the user. An incremental crawler visits the web repeatedly after a specific interval for updating its collection. In this paper to regulate the revisiting frequency a novel mechanism and a novel architecture for incremental crawler is being proposed.

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Vehicular Ad hoc Network (VANET) is known as an infrastructure less network having dynamic nodes with Road Side Units (RSUs). Data Broadcasting becomes a very difficult task because of more density, scalability, randomness, mobility of vehicles. VANET has an ability to prevent accidents by transmitting data on-time on the network and this has raised an attention for number of researchers. Therefore, in this paper a realistic mechanism has been proposed to avoid the fatal accidents on road using clustering approach with the concept of Artificial Intelligence. Hybridization of Artificial Neural Network (ANN) and Support Vector Machine (SVM) is conducted to speed up the data transmission process that assists in providing information accurately and on-time. To demonstrate the efficacy of the novel mechanism, parameters such as Throughput, Packet Delivery ratio (PDR) are considered.

With the tremendous growth of the Internet, World Wide Web has become a huge source of hyperlinked information contained in hypertext documents. Search engines use web crawlers to collect these documents from web for the purpose of storage and indexing. An incremental crawler visits the web for updating its collection. There is a need to regulate the frequency of the crawler to visit web sites and provide latest information to the user. In this paper a novel approach to manage the revisiting frequency of an incremental crawler based on the users search history is being proposed. KeywordsSearch engine, incremental crawler, page revisit frequency, hit count, user's search history.