Enhancing quality of services using genetic quantum behaved particle swarm optimization for location dependent services

Abstract

Location Dependent Service (LDS) is a kind of information service that are accessed via mobile devices such as smart phones and other hand held devices that offers the detection of people and object positions. When information gets transmitted from the service provider to the customer, some propagation delay is experienced owing to the quality parameters like bandwidth, jitter, etc. and also there is another challenge corresponding to the location of mobile users that is required to be captured at regular interval. At times, the server handling the location service request has huge overhead with the increase in the number of users. Therefore, it gives rise to a complicated and critical challenge for the correctly performing the task of locating with accuracy and to offer the service demanded in time with no time delay and data. In order to surpass the above challenge, the work proposed a Genetic Quantum Behaved Particle Swarm Optimization (GQPSO) for location based services in medical application. The designed system is used for improving the quality of services (QoS) in LDS that contains three portions namely User, Server, and Wireless Communication. Wireless communication links the user and servers and the server gets the query through the user which is its only responsibility. In the server, the query processing is performed and the server transfers the services over optimal path that is chosen with the help of GQPSO algorithm on the basis of QoS metrics like PDR, E2E Delay, Jitter, throughput and energy. By employing LDSs, the patients can get the neighborhood hospital locations in medical application.