An Efficient Content Prefetching Method for Cloud Based Mobile Adhoc Network

Recently, Mobile Ad-hoc Networks (MANETs) has emerged as a very important research area for provisioning service for remote client through internet, cloud computing, and cellular network. This work focusses on improving image access in MANET. Various method has been present recently for reducing data access and reduce query latency. Number challenges need to addressed such as caching, content prefetching, shared access environment, dynamic high speed node mobility environment etc. As mobile adhoc network is growing rapidly for the possessions of its capability in forming provisional network without the requirement of any predefined infrastructure, improving throughput (i.e., access rate), reducing bit error rate (BER) (i.e., query latency) has been a major concern and requirement in mobile adhoc network. This work aimed at building an efficient content prefetching technique of geographically distributed data for enhancing the access rate and reduce query latency. Along with, our model can minimize processing time and cost for carrying content prefetching operation. Experiment result shows the proposed content prefetching method improves bit error rate (BER) and throughput performance.