New business models for improving marketable quality and networking service of japanese laundry companies

Abstract

Movement patterns play a crucial role in evaluating the performance of mobility-dependent personal communication service (PCS) strategies, such as location updating and paging schemes. This study proposes a novel normal walk model to represent more closely the daily mobility patterns of a mobile station (MS) in mesh PCS networks than a conventional random walk model. The proposed model applies an equivalent drift angle 8 to determine the direction in which an MS leaves a mesh cell in the next one step. The angle 8 is assumed to approach a normal distribution with parameters: /spl mu/ = 0/spl deg/ and /spl sigma/ is on the interval [5/spl deg/, 90/spl deg/], based on the concept that most trips follow the shortest path. This assumption implies that varying can redistribute the probabilities associated with 8 to make the normal movement patterns more realistic than the random ones. Moreover, for a = 79.5/spl deg/, a normal walk can behave almost like a conventional random walk.