FlyPS – A PRICING AND QOS MODEL FOR PERVASIVE COMPUTING WITH AN AIRPORT ILLUSTRATION

Pervasive Computing is the future technology for every living being that enables all time computingwithout his/her interaction. i.e any time, any where. Customer Assistance and Passenger Support are the primefactors for Airways Agencies. The idea of this paper to address the issues when equip an Airport with PervasiveSensor Networks. Customer Assistance FlyPS – Fly Pervasive Sensor Networks, the proposed QoS model forAirport assisting service designed for the customers/passengers. The issues related to the implementation ofpervasive sensor network in the Airport and pricing them are focused in detail. Load balancing is a crucial factoraccounted as a QoS parameter in this regard. A Quality of Service Model is suggested by analyzing the expectedcomponents of the Network. And an algorithm is given to determine the functionality of special equipment providedto 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 ismaintained to connect the pervasive controllers. An ‘on-body sensor’ is used for the input to receive data from thepassengers. The pervasive controller is used to forward the data sensed by it from the user controller. In anapplication scenario airport, directing software is used to interact with the user for effective use of the airportfacilities. A load balancing algorithm controls the traffic/congestion. The quality is assigned with the accuracy of thedata observed by the data observed by the pervasive controller. Load balancing is the process of improving theperformance of a parallel and distributed system through a redistribution of load among the processors