Pervasive Computing is the future technology for every living being that enables all time computing without his/her interaction. i.e any time, any where. Customer Assistance and Passenger Support are the prime factors for Airways Agencies. The idea of this paper to address the issues when equip an Airport with Pervasive Sensor Networks. Customer Assistance FlyPS – Fly Pervasive Sensor Networks, the proposed QoS model for Airport assisting service designed for the customers/passengers. The issues related to the implementation of pervasive sensor network in the Airport and pricing them are focused in detail. Load balancing is a crucial factor accounted as a QoS parameter in this regard. A Quality of Service Model is suggested by analyzing the expected components of the Network. And an algorithm is given to determine the functionality of special equipment provided to the passengers. The pricing of the network is classified on the basis of services provided to/from the participants. And pricing to an individual passenger and Airways agency is also discussed. The user will be directed to the place where he wants to go in a particular area. A pervasive server is maintained to connect the pervasive controllers. An ‘on-body sensor’ is used for the input to receive data from the passengers. The pervasive controller is used to forward the data sensed by it from the user controller. In an application scenario airport, directing software is used to interact with the user for effective use of the airport facilities. A load balancing algorithm controls the traffic/congestion. The quality is assigned with the accuracy of the data observed by the data observed by the pervasive controller. Load balancing is the process of improving the performance of a parallel and distributed system through a redistribution of load among the processors.