Proximity mobile services: Neural network based connection admission controller and other issues

Proximity aware mobile service is a wireless application for mobile users to interact with services offered by service providers present in the user´s environment. Many issues are still prevalent in this area which includes context modeling, sensors integration, proximity resolution and service management. One important aspect in service management is congestion control which plays a key part in providing proximity aware services in a wireless networking environment. This paper investigates the feasibility of neural network based connection admission controllers by comparing simulated Back-Propagation and Learning Vector Quantization Neural Networks. It is found that the Back-propagation Neural Network has higher performance.