Enhanced Fuzzy Rule with Modified Particle Swarm Optimization Based Handoff Algorithm in Wireless Mobile Communication Network

Abstract

In wireless communication handoff plays a pivotal role. It is responsible for providing seamless communication between Base Stations (BSs) while user progresses from one cell to another cell. An exact handoff decisionis very hard because at the cell boundary Mobile Terminal (MT) understandings signal from serving BS as well as from neighboring BSs. In this situation MT fluctuates between BSs because of which unnecessary handoffs occur and degrade the signal excellence, which is not acceptable. As an attempt in this way, an Enhanced Fuzzy Rule (EFR) based controller is developed in this paper to reduce the number of unnecessary handoffs. Here, some parameters are considered such as Power Level, Bandwidth, and Cost along with the velocity of the Mobile Terminal (MT) are considered here for the design of the Handoff algorithm. The Membership Functions (MFs) for each of the parameter are determined and corresponding Membership Degrees are evaluated from their concerned MFs. The optimized fuzzification of the parameters is carried out by developing the appropriate weight vector. The weight vector is optimized using Modified Particle Swarm Optimization (MPSO) algorithm. Experimental results show that the proposed algorithms attained best performance compared to existing Thresholded RSS algorithm, fuzzy vertical handoff decision vector.