ABSTRACT
With advancement in technology, opportunistic sensing has emerged as the most efficient way of routing data between nodes. Most prominent application of this next-generation sensing technology is the Wireless Sensor Networks, which are deployed in an hostile environment and are connected to the real-world networking systems. The quality of service is an important aspect of such systems and is an umbrella term for dependability assessment, which further governs the adaptability of networks. A detailed insight has been provided on quality of service and dependability assessment; also, dependability of a network can be enhanced by optimizing the data flow of that network. This chapter proposes a machine learning-based prediction framework for optimizing the data flow; hence enhances dependability of the network. Further, the results are cross-validated to check the robustness of the prediction technique used in the network.
